Tag: Forecasting

  • Top Demand Planning and Forecasting Software

    Top Demand Planning and Forecasting Software

    Discover the best demand planning and forecasting software in our comprehensive guide. Learn about essential features, top solutions, market trends, and how these tools can enhance your business efficiency while meeting customer demands. Perfect for organizations of all sizes looking to optimize inventory management.

    The Best Demand Planning and Forecasting Software: A Comprehensive Guide

    In today’s fast-paced and competitive marketplace, businesses must become increasingly strategic in their approach to resource allocation and inventory management. Efficient demand planning and forecasting are critical components of this strategy, ensuring that organizations can meet customer expectations while minimizing excess inventory and associated costs. As we delve into the nuances of demand planning and forecasting, this article will explore the best software solutions available today that can enhance these processes for your organization.

    Why Use Demand Planning and Forecasting Software?

    Demand planning and forecasting software plays a vital role in helping businesses accurately predict customer demand, evaluate market trends, and streamline inventory management. Utilizing such software provides several benefits:

    • Increased Accuracy: Advanced algorithms and machine learning capabilities enable more precise predictions.
    • Enhanced Collaboration: Centralized platforms allow teams to share insights and data, leading to better-informed decisions.
    • Reduced Costs: By optimizing inventory levels, businesses can mitigate holding costs and reduce waste from excess stock.
    • Scalability: As organizations grow, scalable software can easily adapt to increased demand and complexity.

    Key Features to Look for in Demand Planning and Forecasting Software

    When evaluating software solutions for demand planning and forecasting, it’s essential to consider the following features:

    1. User-Friendly Interface: An intuitive design helps teams quickly understand how to use the software effectively.
    2. Real-Time Collaboration: The ability for multiple users to access and edit forecasts in real-time enhances teamwork and responsiveness.
    3. Data Integration: Ensure the software can integrate seamlessly with existing systems, including ERP and CRM platforms.
    4. Advanced Analytics: The presence of AI-driven analytics tools can bolster predictive accuracy and uncover meaningful trends.
    5. Customizability: Every business has unique needs; customization options allow the software to be tailored to your specific requirements.

    Top Demand Planning and Forecasting Software Solutions

    Here’s a detailed look at some of the best demand planning and forecasting software available today:

    SoftwareKey FeaturesPricingBest For
    SAP Integrated Business Planning (IBP)Real-time analytics, supply chain optimization, advanced modelingCustom pricing based on the solutionLarge enterprises
    Oracle DemantraDemand modeling, collaborative planning, data integrationCustom pricing based on the solutionEnterprises with complex supply chains
    Kinaxis RapidResponseEnd-to-end supply chain visibility, scenario planningCustom pricing based on solutionCompanies looking for agility in the supply chain
    Forecast ProStatistical forecasting, user-friendly interfaceStarting at $1,200/yearSmall to medium-sized businesses
    Sage IntacctCloud-based solution, strong financial integrationStarting at $15/month/per userSmaller companies and startups
    RELEX SolutionsAI-driven demand forecasting, inventory optimizationCustom pricing based on the solutionRetail and FMCG sectors

    As we move forward, the demand planning and forecasting software market is evolving, with several key trends emerging:

    • AI and Machine Learning: Businesses are leveraging AI to enhance forecasting accuracy, improve decision-making, and automate tedious processes.
    • Cloud-Based Solutions: Many companies are shifting to cloud-based software, providing better accessibility and collaboration opportunities across teams and geographies.
    • Sustainability: With increasing awareness around environmental impacts, businesses are keen on utilizing software that allows for better inventory management and reduced waste.

    Real-World Applications

    Implementing demand planning and forecasting software can yield measurable results. Consider how different sectors have successfully harnessed such tools:

    • Retail: By utilizing advanced analytics and forecasting, retail chains have optimized their stock levels, reducing overstock by 20% and improving on-shelf availability.
    • Manufacturing: Predictive maintenance tools within demand forecasting have helped manufacturers minimize downtime, resulting in a 15% increase in production efficiency.

    “The best way to predict the future is to create it.” — Peter Drucker

    Conclusion

    Navigating the intricacies of demand planning and forecasting is essential for businesses aiming to thrive in a competitive landscape. The software solutions highlighted in this article offer a robust framework for accurate demand predictions and effective inventory management. As you explore your options, remember to assess software based on your specific business needs, pricing structures, and desired features.

    With the right demand planning and forecasting software, organizations can not only improve operational efficiency but also position themselves for sustainable growth in the future. By staying informed about industry trends and advancements, you can ensure that your business remains agile and responsive to changing market dynamics.

    Frequently Asked Questions (FAQs)

    1. What is demand planning and why is it important?

    Demand planning is the process of forecasting customer demand to ensure that the right products are available at the right time. It is critical for minimizing excess inventory, reducing costs, and meeting customer expectations.

    2. What features should I look for in demand planning and forecasting software?

    Key features to consider include:

    • User-friendly interface
    • Real-time collaboration capabilities
    • Seamless data integration with existing systems
    • Advanced analytics for predictive accuracy
    • Customizability to meet specific business needs

    3. How does demand planning software improve accuracy?

    Demand planning software utilizes advanced algorithms, machine learning, and historical data to create more precise forecasts, enabling businesses to anticipate market trends and customer demands more effectively.

    4. What are the benefits of using cloud-based demand planning solutions?

    Cloud-based solutions offer better accessibility, enhanced collaboration capabilities among teams, and reduced IT maintenance costs, allowing businesses to focus on strategic decision-making.

    5. Can demand planning software integrate with my existing systems?

    Many demand planning software solutions offer data integration capabilities, allowing them to work seamlessly with existing ERP, CRM, and other business systems.

    6. What industries benefit most from demand planning software?

    Demand planning and forecasting software is beneficial across various industries, including retail, manufacturing, logistics, and healthcare, where inventory management and demand forecasting are crucial for operational success.

    7. How much does demand planning and forecasting software cost?

    Pricing can vary widely based on the solution, features, and scale of implementation. Some solutions have starting prices, while others use custom pricing based on specific requirements.

    8. What trends are shaping the demand planning software market?

    Current trends include the increased use of AI and machine learning for accuracy, a shift towards cloud-based solutions, and growing sustainability practices in business operations.

    9. Can small businesses benefit from demand planning software?

    Absolutely! Many demand planning solutions are designed with small to medium-sized businesses in mind, offering user-friendly interfaces and flexible pricing models.

    10. How do I choose the right demand planning software for my business?

    To choose the right software, assess your business needs, budget, desired features, and the scalability of potential solutions. Additionally, consider seeking demos or trials to evaluate usability.

  • Demand Forecasting Meaning Types Techniques: How to be Know

    Demand Forecasting Meaning Types Techniques: How to be Know

    Demand forecasting is a process of estimating future customer demand for a product or service. It involves analyzing historical data, market trends, and other relevant factors to predict the demand for a particular product or service in the future. This information is essential for businesses to make informed decisions about production planning, inventory management, and marketing strategies. By accurately forecasting demand, companies can optimize their operations, minimize costs, and improve customer satisfaction.

    Understanding the Demand Forecasting: its Meaning, Definition, Types, Methods, Techniques, Advantages, and Disadvantages

    Demand forecasting is a crucial process for businesses to estimate and predict future customer demand for their products or services. By analyzing historical data, market trends, and other relevant factors, businesses can gain insights into demand patterns and make informed decisions.

    The primary goal of demand forecasting is to accurately predict the future demand for a particular product or service. This information is crucial for businesses to plan their production accordingly, manage their inventory effectively, and implement appropriate marketing strategies.

    They help companies optimize their operations by ensuring that they produce the right quantity of products at the right time. This prevents overproduction and reduces the risk of having excess inventory. By accurately forecasting demand, businesses can minimize costs, avoid stockouts, and improve customer satisfaction.

    There are various methods and techniques that businesses can use for demand forecasting, such as time series analysis, regression analysis, qualitative forecasting, and more. These methods allow businesses to consider different factors and variables that may impact demand, such as seasonality, economic conditions, competitor behavior, and customer preferences.

    They play a vital role in helping businesses make informed decisions about their production, inventory management, and marketing strategies. By accurately predicting future demand, companies can optimize their operations, minimize costs, and ultimately improve customer satisfaction.

    Demand Forecasting Meaning Definition Types Methods Techniques Advantages and Disadvantages Image
    Photo by Karolina Grabowska.

    Meaning and Definition of Demand Forecasting

    Meaning: Demand forecasting refers to the process of estimating or predicting the future demand for a product or service. It involves analyzing various factors such as historical data, market trends, customer behavior, and external influences to make an informed projection of the quantity and timing of demand in the future.

    The main purpose of demand forecasting is to provide businesses with valuable insights into market demand, allowing them to plan their production, inventory management, and marketing strategies accordingly. By accurately forecasting demand, businesses can optimize their operations, minimize costs, avoid stockouts or overproduction, and ultimately improve customer satisfaction.

    Definition: Demand forecasting is the process of estimating the future demand for a product or service. It involves analyzing historical data, market trends, customer behavior, and other relevant factors to predict the quantity and timing of demand in the future. They help businesses make informed decisions about production, inventory planning, marketing strategies, and overall business operations. It is a crucial tool for optimizing resources, minimizing costs, and meeting customer demand effectively.

    6 Types of Demand Forecasting

    There are several types of demand forecasting methods used in business. Some common types include:

    1. Qualitative Forecasting: This method relies on expert opinions, market research, and subjective judgment to predict future demand. It is used when historical data is limited or unreliable.
    2. Time Series Forecasting: Time series forecasting involves analyzing historical data to identify patterns and trends in demand over time. Techniques such as moving averages, exponential smoothing, and autoregressive integrated moving average (ARIMA) models stand commonly used.
    3. Causal Forecasting: Causal forecasting looks at the cause-and-effect relationship between demand and various factors such as economic indicators, demographic changes, marketing campaigns, or competitor actions. Regression analysis and econometric modeling stand used to determine the impact of these factors on demand.
    4. Market Research: Market research involves collecting data from surveys, focus groups, and other research methods to understand customer preferences, buying behavior, and future market trends. This information can use to forecast demand.
    5. Judgmental Forecasting: Judgmental forecasting relies on the expertise and experience of individuals or groups within the organization to predict future demand. It can be based on intuition, collective decision-making, or input from sales representatives.
    6. Demand Simulation: Demand simulation uses computer models and simulations to forecast demand. It considers multiple scenarios by adjusting different variables and provides a range of possible outcomes.

    It’s important to note that different businesses may use a combination of these methods depending on their industry, available data, and specific forecasting needs.

    7 Methods of Demand Forecasting

    There are several methods of demand forecasting that businesses can utilize. Here are some commonly used methods:

    1. Time Series Analysis: This method involves analyzing historical data to identify patterns and trends in demand over time. Techniques such as moving averages, exponential smoothing, and ARIMA models stand commonly used.
    2. Market Research: Market research involves collecting data through surveys, focus groups, or other research techniques to understand customer preferences, buying behavior, and market trends. This data is then used to forecast future demand.
    3. Regression Analysis: Regression analysis is used when there is a causal relationship between demand and one or more independent variables, such as price, advertising expenditure, or economic indicators. This method helps quantify the impact of these factors on demand.
    4. Delphi Method: The Delphi method involves obtaining expert opinions through a series of questionnaires or structured interviews. Experts provide their independent forecasts, which stand then combined and refined in subsequent rounds to reach a consensus.
    5. Consumer Surveys: Consumer surveys gather information directly from customers regarding their purchase intentions, preferences, and buying behavior. This data can use to estimate future demand.
    6. Historical Analogy: This method involves using past data from similar products or markets to forecast demand for a new product or in a new market. The assumption is that historical trends and patterns repeat.
    7. Sales Force Composite: In this approach, sales representatives provide their estimates of future demand based on their knowledge of customers and market conditions. These individual forecasts are then consolidated to create a complete demand forecast.

    8 Techniques of Demand Forecasting

    Demand forecasting is a crucial aspect of business planning, and various techniques are used to estimate future consumer demand. Here are some commonly employed techniques:

    1. Time Series Analysis: This technique examines historical data to identify patterns and trends in demand over time. Statistical methods such as moving averages, exponential smoothing, and ARIMA models stand employed to forecast future demand based on past patterns.
    2. Market Research: Market research involves gathering data from surveys, focus groups, or interviews to understand customer preferences, behaviors, and market trends. This data is then used to forecast future demand by extrapolating insights from the target market.
    3. Delphi Method: The Delphi method involves soliciting and aggregating expert opinions through a series of questionnaires or rounds of discussion. The forecasts are refined iteratively, seeking convergence towards a consensus forecast.
    4. Judgmental Forecasting: This technique relies on the expertise and experience of individuals or groups within the organization to predict future demand. It can be based on intuitive judgments, collective decision-making, or inputs from sales representatives or managers.
    5. Regression Analysis: Regression analysis explores the relationship between demand and independent variables like price, advertising expenditure, or economic indicators. By quantifying the impact of these factors on demand, businesses can make more accurate forecasts.
    6. Artificial Intelligence and Machine Learning: With the advancements in technology, businesses are utilizing AI and machine learning algorithms to forecast demand. These algorithms can analyze complex data sets, identify patterns, and make accurate predictions.
    7. Simulation Models: Simulation models utilize mathematical and computer-based techniques to simulate different scenarios and forecast demand. By considering various factors and variables, businesses can assess the impact of different decisions on future demand.
    8. Leading Indicators: Leading indicators are economic or industry-specific factors that change before a shift in demand occurs. Monitoring these indicators allows businesses to anticipate changes and adjust their strategies accordingly.

    5-5 Advantages and Disadvantages of Demand Forecasting

    Demand forecasting has both advantages and disadvantages. Let’s take a look at some of them:

    5 Advantages:

    1. Optimized Production Planning and Inventory Management: It helps businesses plan their production schedules and manage their inventory levels effectively. By accurately predicting future demand, they can avoid overproduction or stockouts, leading to cost savings and improved operational efficiency.
    2. Effective Resource Allocation: They allow businesses to allocate their resources, such as labor, materials, and equipment, efficiently. It helps ensure that the right resources are available at the right time to meet customer demand without any wastage.
    3. Improved Marketing Strategies: They provide insights into customer preferences, buying behavior, and market trends. This information can use to develop targeted marketing strategies that resonate with the target audience and generate more sales.
    4. Enhanced Decision-Making: They allow businesses to make informed decisions regarding pricing, promotions, and product development. By understanding future demand patterns, businesses can align their strategies with market trends, increasing their competitive advantage.
    5. Risk Mitigation: Accurate demand forecasting helps businesses anticipate market fluctuations, seasonal variations, and other external influences that may impact demand. This proactive approach enables businesses to mitigate risks and make contingency plans to minimize any negative impact on operations.

    5 Disadvantages:

    1. Uncertainty and Inaccuracy: They rely on historical data, market trends, and other factors, which may not always accurately predict future demand. External factors such as unforeseen events, changes in consumer behavior, or market disruptions can significantly impact the accuracy of forecasts.
    2. Data Limitations: Forecasting relies heavily on the availability and quality of data. Limited or incomplete data can lead to inaccurate forecasts, especially for new products or emerging markets where historical data may be scarce.
    3. Assumption of Static Market Conditions: They assume that market conditions will remain relatively stable. However, the market is dynamic, and changes in competition, regulations, or customer preferences can quickly render forecasts outdated.
    4. Complexity and Resource Intensity: They can be a complex and resource-intensive process. It requires skilled analysts, data collection, and sophisticated forecasting techniques. This can be expensive, especially for small businesses with limited resources.
    5. Forecast Horizon Limitations: The accuracy decreases as the forecast horizon extends further into the future. Long-term forecasting is inherently more uncertain and subject to larger margins of error.

    Bottom line

    Demand forecasting is a crucial process for businesses to estimate and predict future customer demand for their products or services. It involves analyzing historical data, market trends, and other relevant factors to make informed projections. Accurate demand forecasting helps businesses optimize their operations, minimize costs, avoid stockouts or overproduction, and improve customer satisfaction.

    There are various methods and techniques used for demand forecastings, such as time series analysis, regression analysis, qualitative forecasting, and more. Businesses may use a combination of these methods to obtain accurate and reliable forecasts. However, demand forecasting also has limitations, including uncertainty, data limitations, and assumptions of static market conditions. Overall, demand forecasting allows businesses to make informed decisions about production, inventory management, and marketing strategies, ultimately improving their efficiency and profitability.

  • What do you know about Financial Forecasting?

    What do you know about Financial Forecasting?

    What is the definition of Financial Forecasting? Financial Forecasting is the processor processing, estimating, or predicting an enterprise’s destiny overall performance. With a monetary analysis, you try to predict how the business will appear financially in the future.

    Here is the article to explain, How to define Financial Forecasting?

    A commonplace instance of creating financial prognoses is the prediction of an organization’s revenue. Sales figures, in the long run, decide wherein the (business) organization is at. They are therefore important indicators for desirable decision-making that supports organizational targets. Other vital elements of financial forecasting are predicting other sales, destiny constant and variable charges, and capital. Historical overall performance data exists used to make predictions. This helps expects destiny trends.

    Companies and marketers use economic forecasting to decide the way to unfold their sources, or what the expected expenditures for a certain period will be. Investors use Financial Forecasting to decide if positive events will affect a business enterprise’s shares. Other analysts use prognoses to extrapolate how traits like the GNP or unemployment will trade inside the coming yr. The similarly ahead in time, the less correct the forecast might be.

    Strategies of Financial Forecasting;

    The following Financial Forecasting Strategies below are;

    Role of Financial Statements Forecasting;

    The role of financial statement forecasting at Strident Marks is to provide expected future financial statements based on conditions that management expects to exist and the action it expects to take. These statements offer financial managers insight into the prospective future financial condition and performance of the company. The financial statement includes an income statement and a balance sheet.

    Development of Income Statement Forecast;

    The income statement forecast is a summary of a Strident Marks expected revenues and expenses over some future period, ending with the net income for the period. Likewise, The sales forecast is the key to scheduling production and estimating production costs. The detailed analysis of purchases, production-based wages, and overhead costs helps to produce the most accurate forecasts. Also, The costs of goods sold exist forecasted based on past ratios of the cost of goods sold to sales.

    Following this, the selling, general, and administrative expenses exist forecasted. The estimates of these expenses are fairly accurate because they are generally calculated in advance. Usually, these expenses are not sensitive to the changes in sales, specifically to the reduction in sales in the very short run. After this other income and expenses along with interest expenses exist estimated to obtain the net income before taxes. Next to this income taxes exist computed based on the applicable tax rate, which stands then deducted to arrive at estimated net income after taxes. All of these exist then combined into an income statement. Anticipated dividends exist deducted from profit after taxes to give the expected increase in retained earnings. This anticipated increase needs to agree with the balance sheet forecast figures that exist developed next.

    Development of Balance Sheet Forecast;

    To prepare a balance sheet forecast for a particular period say for June 30, Strident Marks utilizes the balance sheet of the previous December 31. Receivables at June 30 can exist estimated by adding to the receivable balance at December 31, the total projected credit sales from January through June (for which the estimation exists done), and deducting the total projected credit collection for the particular period.

    Forecasting Assets: In the absence of a cash budget, the receivable balance can exist estimated based on a receivable turnover ratio. This ratio, which depicts the relationship between credit sales and receivables, should be based on experience. To obtain the estimated level of receivables, projected credit sales exist simply divided by the turnover ratio. If the sales forecast and turnover ratio are realistic, the method will produce a reasonable approximation of the receivable balance.

    The estimated investment in the inventories for a particular period may be based on the production schedule, which in turn is based on the sales forecast. This schedule should represent expected purchases, also the expected use of inventory in the production, and the expected level of finished goods. Based on this information along with the beginning inventory level, an inventory forecast can exist made.

    Estimates of future inventory can exist based on an inventory turnover ratio, instead of the use of production schedule; Also, This ratio stands applied similarly as for the receivables, except that now we solve for the ending inventory position.

    Inventory Turnover Ratio = cost of goods sold (Ending) Inventory;

    Future net fixed assets exist estimated by adding planned expenditures to existing net fixed assets and subtracting from this sum the book value of any fixed assets sold along with depreciation during the period. Fixed assets are fairly easy to forecast because capital expenditures stand planned.

    Forecasting Liabilities and Shareholder Equity: for instance if the company wants to estimate the liabilities for June 30, the accounts payable are estimated by adding the projected purchases for January through June and deducting total projected cash payments for purchases for the period to the balance of December 31.

    The calculation of the accrued wages and expenses is based on the production schedule and the historical relationship between these accruals and production. Also, The shareholder’s equity at June 30 will be equity at December 31 plus profits after taxes for the period minus the number of dividends paid. Generally, cash and notes payable (short-term bank borrowings) serve as balancing factors in the preparation of forecast balance sheets, whereby assets and liabilities plus shareholders’ equity are brought into balance. Once all the components of the balance sheet are estimated, they are combined into a balance sheet format.

    Importance of Financial Statement Forecast;

    The information that goes into cash budgets can be used to prepare forecast financial statements. Financial managers can make direct estimates of all the items on the balance sheet by projecting financial ratios into the future and then making estimates based on these ratios. Receivables, inventories, accounts payable and accrued wages and expenses are frequently based on historical relationships to sales and production when a cash budget is not available.

    Forecast statements allow us to study the composition of expected future balance sheets and income statements. Also, Financial ratios are computed for analysis of the statements; these ratios and the raw figures may be compared with those for present and past financial statements. Using this information, the financial manager can analyze the direction of change in the financial condition and also the performance of the company over the past, the present, and the future. If the firm is accustomed to making accurate estimates, the preparation of a cash budget, forecast statements, or both forces it to plan and coordinate policy in the various areas of operation.

    Continual revision of these forecasts keeps the company alert to changing conditions in its environment and also its internal operations. In addition, forecast statements can even be constructed with selected items taking on a range of probable values rather than single-point estimates.

    Comparison or differences between financial statement forecasting process and budgeting process;

    The budgeting process starts with forecasting future income statements. Also, These statements are made on a monthly or weekly basis and may stretch for twelve months in the future. Both budgeting and forecasting are important management tools that we use to anticipate needs and avoid crises. The budgeting process gives us information about only the prospective future cash position of the company, whereas forecast statements embody expected estimates of all assets and liabilities as well as of the income statement items.

    The key differences between the budgeting process and forecasting are as follows:

    • The budget obtained by the budgeting process is generally more detailed than a forecast.
    • Expenditures are more specifically matched to sources of income in a budget than in a forecast.
    • Budgeting is a tool for management to achieve the objectives, whereas, forecasting is used by management to formulate the budget.
    • It is related to the future definite period only, whereas, forecasting is related to past, present, and future for pure estimation.
    • Budgeting is dependent on forecasting but forecasting is not dependent on budgeting.
    • The preparation of budgets is essential to achieve the production targets but forecasting is essential to prepare a business budget.
    • Budgets are quantitative, whereas, forecasting is qualitative.
    • Budgeting is a business process for management whereas forecasting is a mental process for management.
    • The success of budgeting is dependent on sound forecasting whereas, the success of forecasting is dependent on proper use and analysis of scientific and statistical methods.
    • They process starts after forecasting while the forecasting is a pre-process of budgeting.
    • Budgeting is a standard itself whereas forecasting helps in preparing a budget as a standard.
    • Budgeting highlights the whole business while forecasting helps the budget to highlight the business.

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    What do you know about Financial Forecasting Image
    What do you know about Financial Forecasting?
  • Financial Budgeting and Forecasting Difference Process

    Financial Budgeting and Forecasting Difference Process

    Financial Budgeting and Forecasting with their Meaning, Distinction, Difference, and also Process; Planning is the most important factor in business success. A good plan not only helps companies focus on the specific steps needed to successfully implement their ideas but also helps managers achieve both short-term and long-term goals. Financial forecasts and financial budgets are two of the most important planning tools in modern organizations. Used properly, financial forecasting and budgeting ensure that an organization always has enough cash on hand for the things that are most important to its short and long-term success.

    Here is the article to explain, the Distinction or Difference between Financial Budgeting and Forecasting with their Meaning and also Process

    Understand the difference between financial forecasting and financial budgeting; Unfortunately, the two terms are often confused or even used interchangeably. This hesitation is a mistake. While forecasting and budgeting are essential to an organization’s planning process, they are significantly different. This article summarizes the distinction between the two processes. A budget calculates how much money your company will make and how much it will spend over a certain period of time. Simply put, a budget lists fixed and variable costs and how the money coming into the business distribute.

    Forecasts use historical and recent transaction data; as well as industry and market information, to determine how budgets for expected costs will distribute over a given period of time. Forecasting increases the confidence of the management team in making important business decisions. Budgeting and financial forecasting have unique goals, but they work well together. While budget details await future results, forecasting focuses on probable future events to inform whether the company will achieve the goals set in the budget. To use the common analogy that a budget is a shared map, forecasting and budgeting is something like Waze or any map app on your phone. Budgeting is the map, and forecasting provides the tools to help you adjust how you reach your goals.

    What does it mean to have financial budgeting?

    Budgeting is the process of making a plan for how you will spend your business money for a certain period of time (months, quarters, years, etc.). The budget estimates your company’s income and expenses for this period. Budgets periodically reassess and adjust – in most cases quarterly. The budget is a quantitative expectation of what the company wants to achieve. Its characteristics are:

    • A budget is a detailed representation of the future results, financial position, and cash flow that management wants to achieve over a certain period of time.
    • The budget can only update once a year depending on how often management wants to review the information.
    • Budgets compare with actual results to find deviations from expected results.
    • Management takes corrective action to bring actual results within budget.
    • Comparison of budget versus actual may result in changes in compensation based on results paid to employees.

    What are the five types of budgets?

    There are five types of budgets that companies usually create to run a business.

    • Creating a static budget created by the department and accounting for fixed costs is often the first step in the budgeting process. A static budget remains unchanged, even if parts of the company, such as sales, change.
    • The articles of association cover all company departments. This budget prepare every fiscal year. The general budget provides revenues, expenses, operating expenses, sales, investments, and other items used in financial statements.
    • A financial plan is a company’s strategy for managing its assets, cash flow, income, and expenses. For example, when a company plans to go public or undertake mergers and acquisitions, it creates a financial budget to determine or represent its value.
    • The operating budget estimates revenues and expenses from ongoing operations, including cost of goods sold and sold, general and administrative expenses.
    • Finally, a cash flow budget makes assumptions about the inflows and outflows of funds over a period of time.

    Why is the budget important? Budgets can be short-term or long-term. They keep the company on track by setting cost parameters and comparing expected results with actual. By providing goals, they provide a company’s goals to pursue and a framework for responsible implementation.

    What does it mean to have a financial forecast?

    Financial forecasting is different from budgeting. It reviews budget targets and, along with market and industry analysis, provides preliminary information to predict whether the expected targets will achieve. These forecasts help finance professionals and line managers see if the company will meet budget expectations – and give them the information they need to make adjustments if they’re not on track. Prognosis is an estimate of what will actually achieve. Its characteristics are:

    • Estimates usually limit to important items of income and expenses. As a rule, there is no forecast of financial condition, although cash flows can predicte.
    • Forecasts update regularly, perhaps monthly or quarterly.
    • Forecasts can use for short-term operational considerations such as staff adjustments, inventory levels, and production schedules.
    • No analysis of variance compares estimates with actual results.
    • Changes in forecasts do not affect yield-based compensation paid to employees.

    Why are forecasts important? Financial forecasts ensure that business units have the resources needed to meet the company’s needs – almost all organizations produce quarterly financial forecasts. However, a new customer loss or an external event such as a pandemic can significantly affect the accuracy of quarterly forecasts. Mobile companies incorporate mobile forecasting to create ongoing process planning rather than quarterly events. These companies can then better respond to the fast-growing market while avoiding the surprises of their regular quarterly forecasts.

    How to know? Which comes first, the budget or the forecast?

    Budgets and forecasts have to work together – you set goals; others provide an idea of whether they can and will achieve. Forecasting can use to help budget or understand how money should allocate to specific areas of the company. But without a budget, forecasts have no real purpose.

    Comparison of budgets and forecasts;

    The main difference between a budget and a forecast is that a budget establishes a plan for what the company is trying to achieve, whereas an estimate sets out expectations of actual results, usually in a much more generalized format. In other words, a budget is a plan for where the company wants to go, whereas a forecast is an indication of where it really is. In fact, the most useful of these tools are forecasts because they are a short-term representation of the real world that is happening in the business.

    The information in the forecast can use for immediate action. On the other hand, a budget may contain goals that are completely unattainable or whose market conditions have changed so much that it is not advisable to fulfill them. If the budget is to use, it must update at least once a year so that it is in line with the current market realities. The last point is especially important in a rapidly changing market where the assumptions used to create a budget can become out of date in a matter of months. In short, businesses always need forecasts to show them their current direction, while budgeting is not always necessary.

    The main distinction or difference between the two financial processes is budgeting and forecasting;

    Now that we have a better understanding of the two processes, we can more easily summarize the differences. There are five main differences or distinctions between the two:

    Definition;

    Financial forecasts are forecasts for trends and financial results based on historical data. A financial budget, on the other hand, is a statement of the estimated income and expenses during the budget period.

    Purpose or Destination;

    Financial forecasts quantify future business activities, revealing where the organization is going for a given period of time. A financial budget, on the other hand, measures a tactical plan that represents what the organization’s management wants to achieve during the budget period.

    Duration or Timing;

    Forecasts are usually made for the long term. While you may occasionally find short-term projections that may cover a quarter, most projections last several years. In comparison, budgets cover a shorter period of time. A typical budget covers a fiscal year.

    Flexibility;

    Financial forecasts are very flexible. They regularly adapt to changing assumptions and changes in the operating environment. On the other hand, budgets are more static. Once created, the budget only adjusts if the initial assumptions have changed.

    Application;

    Forecasts are a strategic tool that companies use to plan their growth over several years. While the budget is a tactical tool used to manage operations during the reporting period. It should also note that while budgets can use to analyze differences between actual and expected results, forecasts are only estimates; do not provide a counter with which to compare.

    Final thoughts on financial forecasting vs financial budgeting;

    Businesses need to start taking financial forecasting and budgeting seriously. However, if you use the two terms synonymously or even confuse them; there is a risk that one will not use but the other. This is a dangerous precedent. Also, You cannot have one without the other; You cannot create an effective budget without good estimates, and vice versa, You need both.

    What is the budgeting and forecasting process?

    There are four types of budget processes – incremental, activity-based, value proposition, and zero.

    1. Step-by-step budgeting is the most common method. Subtract numbers from the previous period and add or subtract percentages to prepare a budget for the current period, according to the Institute of Corporate Finance. The incremental budget procedure base on the idea that a new budget can develope by making slight changes to the current budget. For example, today’s budget can be used as a basis for adding or subtracting additional assumptions to the base amount to determine a new budget amount. It’s good practice if your company’s key cost drivers don’t change every year; but, it doesn’t take into account whether some departments really need more or less money to meet current-period goals.
    2. Activity-Based Budgeting (ABB) sets goals and determines what inputs and activities are needed to achieve those goals. ABB is a budgeting method in which a budget is created based on activity-related costs (ABC). It contains 3 types of information: activities to carries out for next year, number of activities and cost of activities. For example, a car wash plans to ship 12,000 washes over the next year, and the shipping costs are $5 per wash. The activity-based budget for this initiative is $60,000 (12,000 * 5).
    3. That’s exactly what Value Proposal Budgeting does. It checks whether everything in the budget brings added value to the company and whether each line creates added value for customers, employees, or other stakeholders.
    4. Zero-based budgeting lives up to its name – every department starts from scratch and must create a budget from scratch, ignoring any resources and costs it currently has. Managers must justify each position in the budget.
    Details;

    Any budgeting method has value depending on what the company wants to achieve and where it is on its growth path. Zero budgeting, for example, is a good tool for companies that need tight cost control. The value proposition of budgeting provides valuable practice for businesses that are just starting in funding.

    The forecast includes current and historical transaction data and market conditions to help determine whether budget targets will be met. Take, for example, a monthly sales forecast that includes information on inventory levels, changes in customer habits, and news on competitor activity along with data on actual sales over time. By combining this real-world sales data with sales forecasts and budget targets, companies can confidently make the necessary changes in their approach to sales, marketing, and more to ensure their goals are met.

    The best way to improve your budgeting and forecasting;

    Budgeting and forecasting allow companies to plan their fiscal year precisely. Here are 10 ways you can improve this process to create a strategic plan that meets your company’s financial goals.

    Maintain flexible budgeting and forecasting;

    Tough forecasts and budgets are not very useful. Things change throughout the years and you should be able to consider these changes and how they will affect your business. Continuing to make decisions based on the best assumptions made months in advance can lead to wrong and costly decisions. In addition, adherence to indicators based on outdated information by employees is counterproductive and frustrating. Embedding flexibility in your budgeting and forecasting allows for greater accuracy and better results in your business.

    Implementation of current forecasts and budgets;

    You can update current forecasts and budgets based on current results, not what managers think might have been done months ago. This process provides forecasts for the next quarter, not the whole year. Forecasts are broader every quarter as they are updated again. Mobile estimates allow you to better align your budget with your plans while increasing the accuracy of your estimates.

    Budget for your plan;

    Make a plan and incorporate it into your budget. Budgeting as part of your plan “requires spending decisions based on actual income, not opportunities that those expenses may (or may not) generate. Rather than spending it and dealing with it later, budgeting your plan forces you to look at the potential impact of all costs on your business. Using this method of budget management is especially useful when considering options that weren’t part of your original budget.

    Communicate early and often;

    Since forecasting and budgeting cover every aspect of the business; you want to maintain open communication with all departments throughout the process to minimize problems and ensure consistency between your company’s operational and organizational strategies.

    Involve your entire team;

    Budgeting and forecasting should be a team effort so that departments and units better understand their needs. Except for the people in your finance department; while the people at the pulse in various departments can give you the data you need to make accurate estimates and set realistic budgets. In addition, by using your entire team, you can have multiple perspectives on your company’s current and future position.

    Be clear about your goals;

    The purpose of forecasting is to predict the financial future of your company. Forecasting helps you make business decisions and understand their implications before you implement them. Unless you know your company’s overall goals, your ability to accurately predict your company’s financial future will fluctuate. Therefore, you need to know exactly what is driving your predictions. Otherwise, it’s just a random assumption not based on your company’s goals.

    Plans in different scenarios;

    You can’t plan everything out, but you do have an idea of some of the obstacles that could affect your initial financial forecasts and financial budgets. Review external markets and economic trends that could adversely affect your business. Current forecasts help you stay informed about negative or positive changes that could seriously impact your business. Moving forecasts also allow you to rotate as needed based on the data just submitted; so all decisions are based on what’s happening now rather than what happened last year.

    Track everything;

    When budgeting and forecasting for the coming financial year, everything has to take into account, regardless of whether it’s a possible purchase from a competitor or just office supplies. Don’t underestimate the importance of seemingly inconsequential details and their ability to jeopardize a company’s financial health. Once the budget is set, make projections that take into account the many potential scenarios that may arise. Keep an eye on market trends, customer behavior, and competition as business forecasts are finalized.

    Include profit and cash flow objectives;

    Author Jean Siciliano says, “Every budget should have a profit target and a cash flow objective; because, the two extreme measures are very different and require different attention to controlling them”. If you’re not tracking these two key metrics for your business; how useful and accurate will your budget be? To keep your business from missing out on your financial goals, set realistic goals for your cash flow and profit.

    Release Excel;

    Don’t rely on Excel or other spreadsheet programs to create your budgets and estimates. Planning software can make many processes easier and less time-consuming. Cloud systems are quickly becoming the standard for all areas of finance, not just accounting services. When used, this option allows for more flexibility as well as greater security and cost savings than the manual option. They allow you to create accurate estimates and budgets quickly and with minimal errors.

    Financial Budgeting and Forecasting Meaning Distinction Difference Process Image
    Financial Budgeting and Forecasting Difference Process; Image by Mustofa Agus Tri Utomo from Pixabay.
  • Examples Why a need for Business Forecasting to Business?

    Examples Why a need for Business Forecasting to Business?

    Need for Business Forecasting to Business examples the Theories. Business Forecasting is an estimate or prediction of future developments in business such as sales, expenditures, and profits. It refers to the technique of taking a perspective view of things likely to shape the turn of things in the foreseeable future. As the future is always uncertain, there is a need for an organized system of forecasting in a business. Given the wide swings in economic activity and the drastic effects these fluctuations can have on profit margins; it is not surprising that business forecasting has emerged as one of the most important aspects of corporate planning. So, what we the question is: Different Theories explain why a need for Business Forecasting to Business?

    The Concept of Financial Management Examples Business Forecasting for Business, in points of Theories and Need.

    In this article, we will discuss Business Forecasting for Business; First Theories of Business Forecasting, that we look again at the need for Business Forecasting. So, let’s discuss: The essence of all the previous article on business forecasting is to explain meaning and definition is that business forecasting is a technique to analyze the economic, social, and financial forces affecting the business with the object of predicting future events based on past and present information. Need to study: Importance, Advantages, Limitations of Business Forecasting to Business.

    Examples the different theories of Business Forecasting:

    The following different theories Examples Business Forecasting needed are:

    Historical:

    This theory is based on the assumption that history repeats itself. It simply implies that whatever happened in the past under a set of circumstances is likely to happen in the future under the same set of conditions. Thus, a forecaster has to analyze the past data to select such a period whose conditions are similar to the period of forecasting. Further, while predicting for the future, some adjustments may make for the special circumstances which prevail at the time of making the forecasts.

    Action and Reaction:

    This theory is based on Newton’s ‘Third Law of Motion’, i.e., for every action; there is an equal and opposite reaction. When we apply this law to business, it implies that if there is depression in a particular field of business; there is bound to be a boom in it sooner or later. It reminds us of the business, cycle which has four phases, i.e., prosperity, decline, depression, and prosperity.

    This theory regards a certain level of business activity as normal and the forecaster has to estimate the normal level carefully. According to this theory, if the price of the commodity goes beyond the normal level; it must come down also below the normal level because of the increased production and supply of that commodity.

    Economic Rhythm:

    This theory propounds that the economic phenomena behave rhythmically and cycles of nearly the same intensity and duration tend to recur. According to this theory, the available historical data have to analyze into their components, i.e. trend, seasonal, cyclical, and irregular variations. The secular trend obtains from the historical data project several years into the future on a graph or with the help of mathematical trend equations.

    If the phenomena are cyclical in behavior, the trend should adjust for cyclical movements. When the forecast for a year is to be split into months or quarters then the forecaster should adjust the projected figures for seasonal variations also with the help of seasonal indices. It becomes difficult to predict irregular variations and hence, the rhythm method should use along with other methods to avoid inaccuracy in forecasts. However, it must remember that business cycles may not be strictly periodic and the very assumptions of this theory may not be true as history may not repeat.

    Sequence Method/Time-Lag Method:

    This theory is based on the behavior of different businesses which show similar movements occurring successively but not simultaneously. As such, this method takes into account time lag based on the theory of lead-lag relationship which holds good in most cases. The series that usually change earlier serve as the forecast for other related series. However, the accuracy of forecasts under this method depends upon the accuracy with which time lag estimate.

    Cross-Cut Analysis:

    In this method of business forecasting, the combined effect of various factors is not studied; but the effect of each factor, that has a bearing on the forecast, is studied independently. This theory is similar to the Analysis of Time Series under the statistical methods.

    Modernity:

    This approach makes use of mathematical equations for drawing economic models. These models depict the inter-relationships amongst the various factors affecting the economy or business. The expected values for dependent variables then ascertain by putting the values of known variables in the model. This approach is highly mechanical and this can rarely employe in business conditions. Very helpful: Elements, Techniques, and Steps of Business Forecasting.

    The Need for Business Forecasting:

    Some of Examples the important needs of business forecasting list below:

    These are Six need:

    • Production Planning.
    • Financial Planning.
    • Economic Planning.
    • Workforce Scheduling.
    • Decisions Making, and.
    • Controlling Business Cycles.

    Now, Explain each one:

    Production Planning:

    The rate of producing the products must match with the demand which may be fluctuating over the time period in the future. Since its time consuming to change the rate of output of the production processes; so, the production manager needs medium-range demand forecasts to enable them to arrange for the production capacities to meet the monthly demands which are varying.

    Financial Planning:

    Sales forecasts are a driving force in budgeting. Sales forecasts provide the timing of cash inflows and also provide a basis for budging the requirements of cash outflows for purchasing materials, payments to employees and to meet other expenses of power and utilize, etc. Hence forecasting helps finance managers to prepare budgets taking into consideration the cash inflow and cash outflows.

    Economic Planning:

    Forecasting helps in the study of macroeconomic variables like population, total income, employment, savings, investment, general price-level, public revenue, public expenditure, the balance of trade, the balance of payments, and a host of other macro aspects at national or regional levels. The forecasts of these variables are generally for a long period of time ranging between one year to ten or twenty years ahead. Much would depend on the perspective of planning, longer the perspective longer would be period of forecasting. Such forecasts often call projections. These are helpful not only for planning and public policymaking; but, they also include likely economic environment and aid formulation of business policies as well.

    Workforce Scheduling:

    The forecast of monthly demand may further break down to weekly demands and the workforce may have to adjust to meet these weekly demands. Hence, forecasts need to enable managers to get in tune with the workforce changes to meet the weekly production demands.

    Decisions Making:

    The goal of the forecaster is to provide information for decision-making. The purpose is to reduce the range of uncertainty about the future. Businessmen make forecasts to make profits. In business, the forecast has to be done at every stage. A businessman may dislike statistics or statistical theories of forecasting, but he can not do without making forecasts. Business plans of production, sales, and investment require predictions regarding the demand for the product; the price at which the product can be soled, and the availability of inputs.

    The forecast for demand is the most crucial. The operating budgets of various departments of a company have to be based upon the expected sales. Efficient production schedules, minimization of operating cost, and investment in fixed assets are when accurate forecasts recording sales and availability of inputs are available.

    Controlling Business Cycles:

    It is commonly believed that business cycles are always very harmful in their effects. Abrupt rise and fall in the price level injurious not only to businessmen but to all types of persons, industries, trade, agriculture. All suffer from the painful effects of depression. The Trade cycle increases the risk of business; creates unemployment; induces speculation and discourages capital formation.

    Their effects are not confined to one country only. Business forecasting reduces the risk associated with business cycles. Prior knowledge of a phase of a trade cycle with its intensity and expected period of happening may help businessmen, industrialists, and economists to plan accordingly to reduce the harmful effects of trade cycle statistics is thus needed to control the business cycles.

    Different Theories explain why a need for Business Forecasting to Business
    Different Theories explain why a need for Business Forecasting to Business? Image credit from #Pixabay.
  • Difference between Demand and Supply Forecasting Planning

    Difference between Demand and Supply Forecasting Planning

    Demand Forecasting Planning and Supply Forecasting Planning Difference relationship class 11 12 PDF; Demand forecasting planning is a quantitative part of human asset planning. It is the way toward assessing the future necessity of HR, everything being equal, and sorts of the association. Also, other hand Supply forecasting planning implies assessing the supply of HR contemplating the examination of current HR stock and future accessibility.

    The basic relationship and difference between Demand Forecasting Planning and Supply Forecasting Planning class 11 12 PDF.

    Basically, demand planning is forecasting client demand while supply planning is the administration of the stock supply to meet the objectives of the figure. We should investigate the various segments of demand forecasting planning versus supply forecasting planning and how they can coordinate.

    Meaning and Definition of Demand Forecasting Planning:

    Demand organizers join informational indexes from verifiable deals, market impacts for instance publicizing, online media, and so on, retailer/merchant activities like advancements, spiffs, and so on, and different conditions, for example, climate or schools opening to figure client demand. Also, there are two sorts of demand forecasting. Unconstrained demand sales forecasting centers around crude demand potential without calculating potential requirements, for example, limit and income.

    Then again, obliged forecasting considers the restrictions of the part of the task of the business. The fact is to utilize the two kinds to empower the business to encourage custom orders; and, give their clients the best incentive for cash while downplaying the supply cost. Improved demand forecasting decreases the measure of stock held to meet assistance targets consequently lessening costs. Also, Demand forecasting planning arrangements are crucial for compelling forecasting; as they make it conceivable to deal with total information from the various offices and uncover purchasing behaviors and patterns.

    Meaning and Definition of Supply Forecasting Planning:

    Supply planning looks to satisfy the demand plan while meeting the monetary and administration objectives of the business. Supply chain planning factors on the whole viewpoints identified with stock creation and coordinations. Also, These segments incorporate open and arranged client orders, on-hand amounts, lead times, least request amounts, security stocks, creation leveling, and demand pursue.

    Supply planning programming can computerize contributing the demand plan; and, all the part information from there on creating an expert creation plan. When the supply plans see up, an audit on the limit and its effect on assets finish, and amendments make as needs be. Both demand and supply planning is similarly significant and works advantageously to guarantee effective help conveyance. Also, The utilization of huge informational indexes, supply, and demand planning arrangements can deliver more precise conjectures and plans which will expand profit from the venture. What are the Relationship and Difference between Demand Forecasting Planning and Supply Forecasting Planning class 11 12 PDF? Below are you’ll better understand;

    Forecasting Planning Demand and Supply:

    The second period of human asset planning, forecasting demand, and supply include utilizing quite a few complex factual strategies dependent on investigation and projections. Such forecasting methods past the extent of this conversation. At a more down-to-earth level, forecasting demand includes deciding the numbers; and, sorts of staff that an association will require sooner or later. Most chiefs consider a few components when forecasting future faculty needs.

    The demand for the association’s item or administration is central. Consequently, in a business, markets, and marketing projections project first. At that point, the staff expected to serve the projected limit assessment. Different factors ordinarily thought about when forecasting the demand for workforce incorporate spending requirements; turnover because of renunciations, terminations, moves, and retirement; innovation in the field; choices to update the nature of administrations gave; and minority recruiting objectives.

    Forecasting supply includes figuring out what faculty will be accessible. The two sources are inward and outer: individuals previously utilized by the firm and those external the association. Variables supervisors ordinarily consider when forecasting the supply of workforce incorporate advancing representatives from inside the association; recognizing workers willing and ready to prepare; accessibility of required ability in nearby, provincial, and public work markets; rivalry for ability inside the field; populace patterns (like the development of families in the United States from Northeast toward the Southwest); school and college enlistment patterns in the required field.

    Interior wellsprings of workers to fill projected opportunities should check. This encourages by the utilization of the human asset review or the orderly stock of the capabilities of existing staff. A human asset review is just an authoritative outline of a unit or whole association with all positions (generally managerial) show and key regarding the “promotability” of every job occupant.

    Demand and Supply Forecasting Planning Difference or Relationship or Comparison Chart or tables:

    BASIS FOR COMPARISONDEMAND Forecasting PlanningSUPPLY Forecasting Planning
    MeaningDemand forecast plan is the desire of a buyer and his/her ability to pay for a consumers or particular commodity at a specific price.Also, the Supply forecast plan is the quantity of a commodity which is made available by the firms or producers to its consumers at a certain price.
    CurveDownward-sloping forecasting plansUpward-sloping forecasting plans
    SlopeUpper to Down way line graphOther hand, Down to Upper way line graph
    Relationship with PriceInverse PriceAs well as, Direct Price
    RepresentsThis is representing by CustomerOther hand, this is representing by Firm
    Effect of VariationsIf we have forecasting plan, we know – When the demand increases but supply remains constant, it leads to shortage but when the demand decreases and the supply is constant leads to surplus.Other hand forecasting plan, we know – When the supply increases but demand remains constant, it leads to surplus but when the supply decreases and the demand is constant it results in shortage.
    Determinants and forecasting other than priceTaste and Preference base forecasting plans. Also, The number of Consumers Analysis. This forecasting depends on the Price of Related Goods. It is forecasting depends on Consumer Income. Consumer Expectations Planning.Price of the Resources and other input base forecasting plans. The number of Producers Analysis. This forecasting depends on the Price of factors of production. It is forecasting depends on Taxes and Subsidies. As well as, Technology Planning.
    Demand Forecasting Planning and Supply Forecasting Planning Difference relationship class 11 12 PDF.

    6 best Key relationship or difference Between Demand Forecasting Planning and Supply Forecasting Planning:

    Forthcoming focuses will disclose to you the relationship or difference between demand and supply forecasting planning:

    • Demand is the ability and paying limit of a purchaser at a particular cost. Then again, Supply is the amount offered by the makers to their clients at a particular cost.
    • While the demand bend is descending to one side, the supply bend is upward to one side. And so the demand bend is a negative slant though the supply bend is a positive slant.
    • Demand has a roundabout relationship with the cost for example as the cost expands, the amount demanded diminishes, and it the other way around. Then again, the supply has an immediate relationship with cost as in when the cost expands, the amount provided increments, and the other way around
    • While demand is a pointer of clients or purchasers, supply addresses the firm or makers of the item.
    • Demand for an item affects by five variables – Taste and Preference, Number of Consumers, Price of Related Goods, Income, Consumer Expectations. Conversely, Supply for the item is subject to the Price of the Resources and different data sources, Number of Producers, Technology, Taxes and Subsidies, Consumer Expectations.
    • At the point when the demand increments however supply stays steady, it prompts deficiency yet when the demand diminishes and the supply is consistent prompts excess. As against, when the supply increments yet demand stays consistent, it prompts excess however when the supply diminishes and the demand is steady it brings about deficiency.
    Demand Forecasting Planning and Supply Forecasting Planning Difference relationship class 11 12 PDF Image
    Demand Forecasting Planning and Supply Forecasting Planning Difference relationship class 11 12 PDF; Image from Pixabay.

  • What is Sales Forecasting? Meaning and Definition

    What is Sales Forecasting? Meaning and Definition

    Sales forecasting is the process of estimating future sales. Accurate sales forecasts enable companies to make informed business decisions and predict short-term and long-term performance. The sales forecast is the estimate of the number of sales to be expected for an item/product or products for a future period of time. Except the industries based on job order, almost all the enterprises produce in advance to meet the future requirements. Thus accurate sales forecasting is essential for an enterprise to enable it to produce the required number of items at right time.

    Sales Forecasting is explained in Meaning and Definition.

    Any forecast can be termed as an indicator of what is likely to happen in a specified future time frame in a particular field. Therefore, the sales forecast indicates. As to how much of a particular product is likely to be sold in a specified future period in a specified market at the speci­fied price.

    Accurate sales forecasting is essential for a business house to enable it to produce the re­quired quantity at the right time. Further, it makes the arrangement in advance for raw mate­rials, equipment’s, labor etc. Some firms manufacture on the order basis. But in general, the firm produces the material in advance to meet future demand.

    Forecasting means estimation of quantity, type, and quality of future work e.g. selling. For any manufacturing concern, it is very necessary to assess the market trends sufficiently in ad­vance. This is a commitment on the part of the selling department and future planning of the entire concern depends on this forecast.

    The management of a firm is required to prepare. Its forecast of the share of the market that it can hope to capture over the period of forecasting. In other words, it is an estimate of the sales potential of the firm in the future. All plans are based on the selling forecasts. This forecast helps the management in determining as to how much revenue can be expected to be realized. How much to manufacture, and what shall be the requirement of men, machine, and money.

    Definition:

    It is an estimation of sales volume that a company can expect to attain within the plan period. A sales forecast is not just a sales predicting. It is the act of matching opportunities with the marketing efforts. It is the determination of a firm’s share in the market under a specified future. Thus sales forecasting shows the probable volume of sales.

    According to the American Marketing Association,

    “Sales forecast is an estimate of Sales, in monetary or physical units, for a specified future period under a proposed business plan or programme and under an assumed set of economic and other forces outside the unit for which the forecast is made.”

    According to Candiff and Still,

    “Sales forecast is an estimate of sales during a specified future period, whose estimate is tied to a proposed marketing plan and which assumes a particular state of uncontrollable and competitive forces.”

    Thus we can define sales forecasting as, estimation of type, quantity, and quality of future sales. The goal for the selling department is decided on the basis of this forecast. These forecasts also help in planning the future development of the concern. It forms a basis for production targets.

    From above, looking to its importance, it is essential that the sales forecast must be accurate, simple, easy to understand and economical. Thus we can say that a sales forecast is an estimate of the number of sales for a specified future period under a proposed marketing plan or programme. They can also be defined as an estimate of selling in terms of money or physical units for a specified future period under a proposed marketing plan or programme and under an assumed set of economic and other forces outside the unit for which the forecast is made.

  • Advantages and Limitations of Sales Forecasting

    Advantages and Limitations of Sales Forecasting

    Learn about the different sales forecasting methods, their importance, advantages, and limitations. Optimize your sales strategy with expert insights. Sales Forecasting; Every manufacturer makes an estimation of the sales likely to take place in the near future. It gives focus to the activities of a business enterprise. In the absence of sales forecast, a business has to work at random. Forecasting is one of the important aspects of administration. The comer-stone of successful marketing planning is the measurement and forecasting to market demand. The sales forecast is the estimate of the number of sales to be expected for an item/product or products for a future period of time. So, what we discussing is – Types, Importance, Advantages, and Limitations of Sales Forecasting.

    The Concept of Forecasting explains Sales Forecasting by Types, Importance, Advantages, and Limitations.

    In this article is discussing, Sales Forecasting: Types of Sales Forecasting, Importance of Sales Forecasting, Advantages of Sales Forecasting, and Limitations of Sales Forecasting. So, let’s discuss; Meaning of Sales Forecasting: Any forecast can be termed as an indicator of what is likely to happen in a specified future time frame in a particular field. Therefore, the sales forecast indicates as to how much of a particular product is likely to be sold in a specified future period in a specified market at the speci­fied price. Accurate sales forecasting is essential for a business house to enable it to produce the re­quired quantity at the right time.

    Types of Sales Forecasting:

    The following Types of Sales Forecasting below are:

    • Economic: This type of forecast is important to understand the general economic trend through a careful study of Five Year Plans, Gross national products. National income, Government expenditure, Unemployment, Consumer spending habits etc. This is in order to have an accurate forecast. Big companies, in India, adopt this method.
    • Industry: The future market demand is calculated through industrial forecast or market forecast. The expected sales forecasts of all the industries, in the same line of business are combined. Market demand may be affected by controllable-price, distribution, promotion, etc., and uncontrollable-demographic, economic, political, technological development, cultural activities etc. The executive must take into account all these conditions while forecasting.
    • Company: The third step goes to the firm concerned to look into the market share, for which forecast is to be made. By considering both controllable and uncontrollable, based on chosen marketing plans within the firm, with that of other industries, steps are taken in formulating forecasts.

    There are three classes (Periods) of sales forecasts:

    Short-run Forecast:

    It is also known as operating forecast, covering a maximum of one year or it may be half-yearly, quarterly, monthly and even weekly. This type of forecasting can be advantageously utilized for estimating stock requirements, providing working capital, establishing sales quotas, fast-moving factors. It facilitates the management to improve and coordinate the policies and practice of Marketing-production, inventory, purchasing, financing etc. The short-run forecast is preferred to all types and brings more benefits than other types.

    Purpose of Short-Term Forecasting:

    • Production Policy: By knowing the future demand the decision regarding production policy can be taken so that there is no problem of overproduction and short supply of input materials.
    • Material Requirement Planning: By knowing the future demand, the availability of the right quantity and quality of materials could be ensured.
    • Purchase Procedure: The purchase programme could be decided depending on the material requirements.
    • Inventory Control: Proper control of inventory could be ensured so that inventory carrying cost is minimum or optimum.
    • Equipment Requirement: The decision regarding procurement of new equipment in view of the capacity and capability of the existing equipment can be taken.
    • Man-Power Requirement: The decision regarding recruitment of extra labor on the full time or part time could be taken.
    • Finance: The arrangement of funds for the purchase of raw materials, machines, and parts could be made.

    Medium-run Forecast:

    This type of forecast may cover from more than one year to two or four years. This helps the management to estimate probable profit and control over budgets, expenditure, production etc. The factors-price trend, tax policies, institutional credit etc., are specially considered for a good forecast.

    Long-run Forecast:

    This type of forecast may cover one year to five years, depending on the nature of the firm. Seasonal changes are not considered. The forecaster takes into account the population changes, competition changes, economic depression or boom, inventions etc. Also, This type is good for adding new products and dropping old ones. The forecasting that covers a considerable period of time, such as 5, 10, 20 years is called long-term forecasting.

    The period no doubt depends upon the nature of business or type of the product the firm is engaged in manufacturing. In many industries like steel plants petroleum refinery or paper mills where the total investment for the equipment/infrastructure is quite high, long-term forecasting is needed.

    Purposes of Long-Term Forecasting:

    • To plan for the new unit of production, or expansion of the existing unit or diversification of lines of production or shut down of the existing units depending upon the level of demand.
    • Also, To plan the long-term financial requirement for various needs.
    • To make proper arrangement for training the personnel so that manpower requirement of desired expertise can be met in future.

    Importance of Sales Forecasting:

    The following Importance of Sales Forecasting below are:

    1. Supply and demand for the products can easily be adjusted, by overcoming temporary demand, in the light of the anticipated estimate; and regular supply is facilitated.
    2. A good inventory control is advantageously benefited by avoiding the weakness of understocking and overstocking.
    3. Allocation and reallocation of sales territories are facilitated.
    4. It is a forward planner as all other requirements of raw materials, labor, plant layout, financial needs, warehousing, transport facility etc., depend in accordance with the sales volume expected in advance.
    5. Sales opportunities are searched out on the basis of forecast; mid thus discovery of selling success is made.
    6. It is a gear, by which all other activities are controlled as a basis of forecasting.
    7. Advertisement programmes are beneficially adjusted with full advantage to the firm.
    8. It is an indicator to the department of finance as to how much and when finance is needed; it helps to overcome difficult situations.
    9. It is a measuring rod by which the efficiency of the sales personnel or the sales department, as a whole, can be measured.
    10. Sales personnel and sales quotas are also regularized-increasing or decreasing-by knowing the sales volume, in advance.

    Additional:

    • It regularizes productions through the vision of sales forecast and avoids overtime at high premium rates. It also reduces idle time in manufacturing.
    • As is the sales forecast, so is the progress of the firm. The master plan or budget of a firm is based on forecasts. “The act of forecasting is of great benefit to all who take part in the process and is the best means of ensuring adaptability to changing circumstances. The collaboration of all concerned leads to a unified front, an understanding of the reasons for decisions, and a broadened outlook.”
    • Sales forecast enables all the departments of the business to work together in proper coordination and cooperation.
    • Sales forecast helps in product mix decisions as well. It enables the business to decide whether to add a new product to its product line or to drop an unsuccessful one.
    • The sales forecast is a commitment on the part of the sales department and it must be achieved during the given period, and.
    • It helps in guiding marketing, production and other business activities for achieving these targets.

    Advantages of Sales Forecasting:

    Sales are the lifeblood of every company. The advantages of forecasting your company’s sales lie mainly in giving you a firm idea of what to expect in the coming months. A standard sales forecast looks at conditions present in your business during previous months and then applies assumptions regarding customer acquisition, the economy, and your product and service offerings. Forecasting sales identifies weaknesses and strengths before you set your budget and marketing plans for the next year, allowing you to optimize your purchasing and expansion plans.

    The following Advantages of Sales Forecasting are four types:

    1. Cash Flow:

    Forecasting helps manage cash flow by predicting future sales and ensuring that the company can meet its financial obligations. This foresight can prevent potential shortfalls and ensure that there are sufficient funds for operations, investments, and emergencies.

    2. Purchasing:

    Sales forecasting aids in planning purchasing activities. By anticipating future demand, companies can make timely and cost-efficient procurement decisions, avoiding both overstocking and stockouts.

    3. Planning:

    It assists in strategic planning by providing a basis for making informed decisions. This includes production planning, workforce planning, and setting realistic sales targets and marketing strategies.

    4. Tracking:

    Sales forecasting offers a framework for tracking progress and performance. This allows management to monitor actual sales against forecasts, identify variances, and adjust strategies accordingly to stay on track with company goals.

    By leveraging these advantages, businesses can enhance their operational efficiency, financial stability, and overall market competitiveness.

    Limitations of Sales Forecasting:

    In certain cases forecast may become inaccurate. The failure may be due to the following factors:

    Fashion:

    Changes are throughout. Present style may change any time. It is difficult to say as to when a new fashion will be adopted by the consumers and how long it will be accepted by the buyers. If our product is similar to fashion and is popular, we are able to have the best result; and if our products are not in accordance with the fashion, then sales will be affected.

    Lack of Sales History:

    A sales history or past records are essential for a sound forecast plan. If the past data are not available, then the forecast is made on guess-work, without a base. Mainly a new product has no sales history and forecast made on guess may be a failure.

    Psychological Factors:

    Consumer’s attitude may change at any time. The forecaster may not be able to predict exactly the behavior of consumers. Certain market environments are quick in action. Even rumors can affect market variables. For instance, when we use a particular brand of soap, it may generate itching feeling on a few people and if the news spread among the public, sales will be seriously affected.

    Other Reasons:

    It is possible that the growth may not remain uniform. It may decline or be stationary. The economic condition of a country may not be favorable to the business activities-policies of the government, the imposition of controls etc. It may affect the sales.

    Basic Limitations of Sales Forecasting;

    • The tastes and preferences of the buyers do not remain constant. A sudden change in the preference of the buyers may render the forecasts meaningless.
    • The economic conditions prevailing in every country also do not remain stable. The purchasing power of money, desire to save and invest etc., are some of the important economic factors having a bearing on sales forecast.
    • The political conditions in a State also influence sales forecast. The policies of the Government regarding business change often. A sudden hike in excise duty or sales tax by the Government may affect sales.
    • The entry of competitors may also affect sales. A firm enjoying monopoly status may lose such a position if the buyers find the competitors’ products more superior.
    • Progress in science and technology may render the present technology obsolete. As a result, products which are right now enjoying a good market may lose the market and the demand for products made using the latest technology will increase. This is particularly true in the case of the market for electronic goods, computer hardware, software and so on.

    The methods of sales forecasting discussed above have respective advantages and limitations or merits and demerits. No single method may be suitable. Therefore, a combination method is suitable and may give a good result. The forecaster must be cautious while drawing decisions on sales forecast. Periodical review and revision of sales forecast may be done, in the light of performance. A method which is quick, less costly and more accurate may be adopted.

  • Factors of Sales Forecasting

    Factors of Sales Forecasting

    Explore essential factors of sales forecasting to improve accuracy and drive business growth. Learn how to leverage data for better decision-making. The management of a firm is required to prepare its forecast of the share of the market that it can hope to capture over the period of forecasting. In other words, the sales forecast is an estimate of the sales potential of the firm in the future. All plans are based on the sales forecasts. Sales Forecasting is the projection of customer demand for the goods and services over a period of time. A businessman who invests a large amount of capital in his business, cannot afford to work haphazardly. So, what we discussing is – Meaning, Definition, Need, and Factors of Sales Forecasting.

    The Concept of Forecasting explains Sales Forecasting by Meaning, Definition, Need, and Factors.

    In this article is discussing, Sales Forecasting: Meaning of Sales Forecasting, Definition of Sales Forecasting, Need for Sales Forecasting, and Factors of Sales Forecasting. This forecast helps the management in determining as to how much revenue can be expected to be realized. How much to manufacture, and what shall be the requirement of men, machine, and money. Future is uncertain. Man thinks about the future. He may be a businessman, a broker, a manufacturer, a commission agent etc.

    All guess about the future in their respective field of interest. We try to know, through a clear imagination, what will be happening in the near future—after a weak, month or year. It can be called forecast or prediction. The process of forecasting is based on reliable data of past and present. Forecasting is not new, as it has been practiced from time immemorial.

    Meaning of Sales Forecasting:

    Any forecast can be termed as an indicator of what is likely to happen in a specified future time frame in a particular field. Therefore, the sales forecast indicates as to how much of a particular product is likely to be sold in a specified future period in a specified market at the speci­fied price. Accurate sales forecasting is essential for a business house to enable it to produce the re­quired quantity at the right time.

    Further, it makes the arrangement in advance for raw mate­rials, equipment’s, labor etc. Some firms manufacture on the order basis. But in general, the firm produces the material in advance to meet future demand. Forecasting means estimation of quantity, type, and quality of future work e.g. sales. For any manufacturing concern, it is very necessary to assess the market trends sufficiently in ad­vance.

    This is a commitment on the part of the sales department and future planning of the entire concern depends on this forecast. It is the estimate of the number of sales to be expected for an item/product or products for a future period of time. Except the industries based on job order, almost all the enterprises produce in advance to meet the future requirements. Thus accurate sales forecasting is essential for an enterprise to enable it to produce the required number of items at right time.

    Definition of Sales Forecasting:

    Forecasting is one of the important aspects of administration. The comer-stone of successful marketing planning is the measurement and forecasting to market demand.

    According to the American Marketing Association,

    “Sales forecast is an estimate of Sales, in monetary or physical units, for a specified future period under a proposed business plan or programme and under an assumed set of economic and other forces outside the unit for which the forecast is made.”
    “An estimate of sales in dollars or physical units for a specified future period under a proposed marketing plan or programme and under an assumed set of economic and other forces outside the unit for which the forecast is made.”

    It is an estimation of sales volume that a company can expect to attain within the plan period. A sales forecast is not just a sales predicting. It is the act of matching opportunities with the marketing efforts. It is the determination of a firm’s share in the market under a specified future. Thus sales forecasting shows the probable volume of sales.

    According to Candiff and Still,

    “Sales forecast is an estimate of sales during a specified future period, whose estimate is tied to a proposed marketing plan and which assumes a particular state of uncontrollable and competitive forces.”

    Thus we can define sales forecasting as, estimation of type, quantity, and quality of future sales. The goal for the sales department is decided on the basis of this forecast and these forecasts also help in planning the future development of the concern. The sales forecast forms a basis for production targets. From above, looking to its importance, it is essential that the sales forecast must be accurate, simple, easy to understand and economical.

    Thus we can say that a sales forecast is an estimate of the number of sales for a specified future period under a proposed marketing plan or programme. They can also be defined as an estimate of sales in terms of money or physical units for a specified future period under a proposed marketing plan or programme and under an assumed set of economic and other forces outside the unit for which the forecast is made.

    Need for Sales Forecasting:

    The following Need for Sales Forecasting below are:

    • The management of the enterprise can take the decision regarding operations planning, scheduling, production programming inventories of various types, physical distribution and operating profits on the basis of sales forecasts.
    • Long-term sales forecasts can help in deciding investment proposals. Such as modernization, expansion of existing units, diversification of product lines etc.
    • Sales forecasts are essential to make proper arrangement for training. The manpower in its own unit or sending them to other industries in the country or abroad to meet the future needs of expertise.

    Factors of Sales Forecasting:

    Factors influencing a Sales Forecasting; A sales manager should consider all the factors affecting the sales while predicting the firm’s sales in the market.

    An accurate sales forecast can be made if the following factors are considered carefully:

    General Economic Condition:

    It is essential to consider all economic conditions relating to the firm and the consumers. The forecaster must see the general economic trend-inflation or deflation, which affect the business favorably or adversely. A thorough knowledge of the economic, political and the general trend of the business facilities to build a forecast more accurately. Past behavior of the market, national income, disposable personal income, consuming habits of the customers etc., affect the estimation to a great extent. Two types of Economic; microeconomic and macroeconomic as well as short-term market and long-term market.

    Consumers:

    Products like wearing apparel, luxurious goods, furniture, vehicles. The size of the population by its composition-customers by age, sex, type, economic condition etc., have an important role. And the trend of fashions, religious habits, social group influences etc., also carry weights. Also, The consumer is the one who pays something to consume goods and services produced. As such, consumers play a vital role in the economic system of a nation. Without consumer demand, producers would lack one of the key motivations to produce: to sell to consumers.

    Industrial Behaviors:

    Markets are full of similar products manufactured by different firms, which compete among themselves to increase the sales. As such, the pricing policy, design, advanced technological improvements, promotional activities etc., of similar industries must be carefully observed. A new firm may come up with products to the markets and naturally affect the market share of the existing firms. Unstable conditions—industrial unrest, government control through rules and regulations, improper availability of raw materials etc., directly affect the production, sales, and profits.

    Changes within Firm:

    Future sales are greatly affected by the changes in pricing, advertising policy, quality of products etc. A careful study in relation to the changes in the sales volume may be studied carefully. Sales can be increased by the price cut, enhancing advertising policies, increased sales promotions, concessions to customers etc.

    Period:

    The required information must be collected on the basis of the period—short run, medium run or long run forecasts. A period of sales depending on the market requires. For example, Some product sale short period. As well as medium or long periods all required, is product demands and supply.

    Some Factors also Considered:

    Following factors should be considered while making the sales forecast:

    • Market Competition: To assess demand, it is the main factor to know about the existing and new competitors and their future programme, the quality of their product, the sales of their product. The opinion of the customers about the products of other competitors with reference to the product manufactured by the firm must also be considered.
    • Technology Changes: With the advancement of technology, new products are com­ing in the market and the taste. The likings of the consumer’s changes with the advancement and change of technology.
    • An action of Government: When the government produces or purchases. Then depending upon the government policy and rules, the sales of the products are also affected.
    • Factors Related to the Concern Itself: These factors are related to the change in the capacity of the plant. Change in price due to the change in expenditure, change in product mix etc.

    Accurate sales forecasting is essential for a business house to enable it to produce the re­quired quantity at the right time. Further, it makes the arrangement in advance for raw mate­rials, equipment’s, labor etc. Also, Many firms manufacture on the order basis. But in general, every firm produces the material in advance to meet future demand.

  • Advantages and Limitations of Forecasting

    Advantages and Limitations of Forecasting

    Explore the advantages and limitations of forecasting to enhance your decision-making. Gain insights into effective strategies for accurate predictions. As we know, What is Forecasting? It may not reduce the complications and uncertainty of the future. Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. A commonplace example might be an estimation of some variable of interest at some specified future date. However, it increases the confidence of the management to make important decisions. Forecasting is the basis of promising. Forecasting uses many statistical techniques.

    The Concept of Business is explaining Forecasting for Company, in points of Advantages and Limitations or Disadvantages.

    In this article, we will discuss Forecasting for Business Planning: First Advantages of Forecasting Methods, Advantages of Forecasting, after that Limitations of Forecasting, Basic Disadvantages of Forecasting, and finally discussing Steps in Forecasting. Usage can differ between areas of application: for example, in hydrology the terms “forecast” and “forecasting” are sometimes reserved for estimates of values at certain specific future times, while the term “prediction” is used for more general estimates, such as the number of times floods will occur over a long period.

    Companies apply forecasting methods of production to anticipate potential issues and results for the business in the upcoming months and years. Forecasting methods can include both quantitative data and qualitative observations. Operations management techniques help businesses determine the actions they should take to bring about favorable results and avoid unprofitable scenarios based on those forecasts. These techniques frequently involve the development and distribution of both new and existing products and services.

    #Advantages of Forecasting Methods:

    Businesses employ a diverse array of forecasting methods to evaluate potential results stemming from their decisions. The most notable advantage of quantitative forecasting methods is that the projections rely on the strength of past data. The chief advantage of qualitative methods is that the main source of data derives from the experiences of qualified executives and employees. The vast majority of business owners blend hard data with personal impressions to develop useful forecasts.

    #Advantages of Forecasting:

    Forecasting plays a vital role in the process of modern management. It is an important and necessary aid to planning and planning is the backbone of effective operations.

    Thus the importance or advantages of forecasting are stated below:

    • It enables a company to commit its resources with the greatest assurance to profit over the long term.
    • It facilitates the development of new products, by helping to identify future demand patterns.
    • Forecasting by promoting the participation of the entire organization in this process provides opportunities for teamwork and brings about unity and coordination.
    • The making of forecasts and their review by managers, compel thinking ahead, looking to the future and providing for it.
    • Forecasting is an essential ingredient of planning and supplies vital facts and crucial information.
    • Forecasting provides a way for effective coordination and control. Forecasting requires information about various external and internal factors. The information is collected from various internal sources. Thus, almost all units of the organization are involved in this process, which provides interactive opportunities for better unity and coordination in the planning process. Similarly, forecasting can provide relevant information for exercising control. Also, The managers can know their weakness in the forecasting process and they can take suitable action to overcome these.
    • A systematic attempt to probe the future by inference from known facts helps integrate all management planning so that unified overall plans can be developed into which divisional and departmental plans can mesh.
    • The uncertainty of future events can be identified and overcomes by effective forecasting. Therefore, it will lead to success in the organization.

    #Limitations of Forecasting:

    The following limitations of forecasting are listed below:

    The basis of Forecasting:

    The most serious limitations of forecasting arise out of the basis used for making forecasts. Top executives should always bear in mind that the bases of forecasting are assumptions, approximations, and average conditions.

    Management may become so concerned with the mechanism of the forecasting system that it fails to question its logic. Also, This critical examination is not to discourage attempts at forecasting. But to sound caution about the practice of forecasting and its inherent limitations.

    Reliability of Past Data:

    The forecasting is made on the basis of past data and the current events. Although past events/data are analyzed as a guide to the future, a question is raised as to the accuracy as well as the usefulness of these recorded events.

    Time and Cost Factor:

    Time and cost factor is also an important aspect of forecasting. They suggest the degree to which an organization will go for formal forecasting. Also, The information and data required for forecast may be in highly disorganized form; some may be in qualitative form.

    The collection of information and conversion of qualitative data into quantitative ones involves a lot of time and money. Therefore, managers have to tradeoff between the cost involved in forecasting and resultant benefits. So forecasting should be made by eliminating the above limitations.

    #Disadvantages of Forecasting:

    The primary disadvantage of forecasting is the same as that of any other method of predicting the future: No one can be absolutely sure what the future holds. Any unforeseen factors can render a forecast useless, regardless of the quality of its data. Also, some forecasting methods may use the same data but deliver widely different forecasts. For instance, one forecasting method can show that interest rates will rise, while another will illustrate that rates will hold steady or decline.

    #Steps of Forecasting:

    Procedure, stages or general steps involved in forecasting are given below:

    Analyzing and understanding the problem:

    The manager must first identify the real problem for which the forecast is to be made. Also, This will help the manager to fix the scope of forecasting.

    Developing a sound foundation:

    The management can develop a sound foundation, for the future after considering available information, experience, type of business, and the rate of development.

    Collecting and analyzing data:

    Data collection is time-consuming. Only relevant data must be kept. Many statistical tools can be used to analyze the data.

    Estimating future events:

    The future events are estimated by using trend analysis. Trend analysis makes provision for some errors.

    Comparing results:

    The actual results are compared with the estimated results. If the actual results tally with the estimated results, there is nothing to worry. In case of any major difference between the actuals and the estimates, it is necessary to find out the reasons for poor performance.

    Follow up action:

    The forecasting process can be continuously improved and refined on the basis of past experience. Areas of weaknesses can be improved for the future forecasting. There must be regular feedback on past forecasting.

    Above advantages and limitations, may be explained as you want to understating about Forecasting. Risk and uncertainty are central to forecasting and prediction; it is generally considered the good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible. In some cases, the data used to predict the variable of interest is itself forecasted.