Uncertainties in Demand Forecasting
Demand forecasts are subject to error and uncertainty which arise from three different sources:
Ø Data about past and present market
Ø Methods of forecasting
Ø Environment change
Data about past and present market:
The analysis of past and present markets, which serve as the springboard for the projection exercise, may be vitiated by the following inadequacies of data:
Lack of Standardization: Data pertaining to market features like product, price, quantity, cost, income, etc. may not reflect uniform concepts and measures.
Few observations: observations available to conduct meaningful analysis may not be enough.
Influence of abnormal factors: Some of the observations may be influenced by abnormal factors like war or natural calamity.
Method of forecasting:
Methods used for demand forecasting are characterized by the following limitations:
Inability to handle unquantifiable factors: most of the forecasting methods, being quantitative in nature, cannot handle unquantifiable factors which sometimes can be of immense significance.
Unrealistic assumptions: Each forecasting method is based on certain assumptions. For example, the trend projection method is based on the mutually compensating affects premise and the end use method is based on the constancy of technical coefficients. Uncertainty arises when the assumptions underline the chosen method tend to be realistic and erroneous.
Exercise data requirement: In general, the more advanced a method, the greater the data requirement. For example, to use an econometric model one has to forecast the future values of explanatory variables in order to project the explained variable.
Environmental Changes:
The environment in which a business functions is characterized by numerous uncertainties. The important sources of uncertainty are mentioned below:
Technological Change: This is a very important and very hard-to-predict factor which influences business prospects. A technological advancement may create a new product which performs the same function more efficiently and economically, thereby cutting into the market for the existing product. For example, electronic watches are encroaching on the market for mechanical watches.
Shift in Government Policy: Government resolution of business may be extensive. Changes in government policy, which may be difficult to anticipate, could have a telling effect on the business environment.
Development on the International Scene: Development on the International Scene may have a profound effect on industries.
Discovery of New Sources of Raw Material: Discovery of new sources of raw materials, particularly hydrocarbons, can have a significant effect on the market situation of several products.
Vagaries of Monsoon: Monsoon, if plays an important role in the economy of a country, is somewhat unpredictable. The behavior of monsoon influences, directly or indirectly, the demand for a wide range of products.
Coping with Uncertainties:
Given the uncertainties in demand forecasting, adequate efforts, along the following lines, may be made to cope with uncertainties.
Ø Conduct analysis with data based on uniform and standard definitions.
Ø In identifying trends, coefficients, and relationships, ignore the abnormal and out-of-the-ordinary observations.
Ø Critically evaluate the assumptions of the forecasting methods and choose a method which is appropriate to situation.
Ø Adjust the projections derived from quantitative analysis in the light of unquantifiable, but significant, influences.
Ø Monitor the environment imaginatively to identify important changes.
Ø Consider likely alternative scenarios and their impact on market and competition.
Ø Conduct sensitivity analysis to access the impact on the size of demand for unfavorable and favorable variations of the determining factors from their most likely levels.
demand forecasting is crucial for sales forecast
Delphi method
The different method for Forecasting demand for new products are 1. Survey of buyer's intentions 2. Test Marketing 3. Life Cycle Segmentation analysis 4. Bounding Curves.........
I'll give you the gist of Demand Analysis Forecasting: Demand analysis forecasting is the process estimation of quantity of a product or service that will be demanded by the customer in the future. Demand forecasting is carried out using both, informal methods, like educated guesses or quantitative methods that involve the use of historical data or existing data from the test markets. Demand forecasting helps in the formulation of pricing strategies, estimation of future product capacity and making crucial decisions relating to the entry or exit from new markets. Methods of Demand forecasting: Qualitative Methods: 1. Jury of expert opinion method 2. Delphi Method: *Developed by RAND Corp *Individuals are asked to answer questionnaires in a total of 2 to 3 rounds *The persons involved often maintain anonymity even after the test has been completed. Quantitative Methods: 1. Time series projection methods: *Trend projection method *Exponential smoothing method *Moving average method Casual methods: 1. Chain ratio method 2. Consumption level method 3 End use method 4.Leading indicator method
Macro forecasting is related to forecasting external forces that affect the firm. This is concerned with forecasting the markets and determining market demand, supplies and other external factors such as legal, cultural, economic and technological environmentsMicro forecasting is concerned with forecasting internal environments such as sales forecasts, market share and product life cycles. These can be described as factors which firm has control over or able to acquire information to forecast what will happen. For example, a company can check its sales records to forecast next months' sales
The two different sections of manpower forecasting are the manpower demand forecasting and the manpower supply forecasting. These techniques are used to regulate the supply and demand balance.
Demand Forecasting Is the estimation of total and maximum quantity needed by the consumers in the market at future time. It must not be higher or lower than the balanced demand. TYPES; qualitative and quantitative demand forecasting.
demand forecasting is crucial for sales forecast
Demand estimation's purpose is to determine the approximate level of demand for the product whereas demand forecasting's purpose is to estimate the quantity of product or service that consumers will purchase.
You can find a demand forecasting consultant online by doing a search listings on google.com. One such consultant firm I found is http://www.researchboston.com/forecasting/forecastintro.htm.
Demand Estimation is the art of forecasting firm sales.
The demand forecasting method goes by the phrase "supply and demand" as the forecasting method provides products both currently and popularly in demand. Meanwhile, established products work with the forecasting method as a means to remind everyone that there are products for those whom could not otherwise afford a product similar to the one currently in demand by the suppliers selling the product.
The demand forecasting method goes by the phrase "supply and demand" as the forecasting method provides products both currently and popularly in demand. Meanwhile, established products work with the forecasting method as a means to remind everyone that there are products for those whom could not otherwise afford a product similar to the one currently in demand by the suppliers selling the product.
in business decisions it is importan
The need for demand forecasting is to help companies see the future of products they are launching. They can see what the future will hold for certain product and what the pricing should be.
Demand forecasting is the activity of estimating the quantity of a product or service that consumers will purchase. Demand forecasting involves techniques including both informal methods, such as educated guesses, and quantitative methods, such as the use of historical sales data or current data from test markets. Demand forecasting may be used in making pricing decisions, in assessing future capacity requirements, or in making decisions on whether to enter a new market
Load forecasting is used by power companies to anticipate the amount of power needed to supply the demand.