managerial economics by
TRANSCRIPT
What is Demand Forecasting?
Meaning of Demand Forecasting:
• Demand Forecasting is a projection of a firm’s expected level of sales based
on a chosen marketing plan and environment.
• Forecasting of demand is the art of predicting demand for a product or a
service at some future date on the basis of certain present and past
behaviour patterns of some related events.
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Levels of Demand Forecasting
• There are three levels of Demand Forecasting:
1. Micro Level
2. Industry Level
3. Macro Level
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Micro Level, Industry Level, Macro Level
Micro Level:
• This can be for existing products of the firm or for any product that the
firm wishes to introduce in future.
Industry Level:
• Economic planners and industry leaders may like to forecast the demand
for a specific industry so that steps may be taken to meet this demand in
future. Therefore, demand estimate for the inputs or raw materials for the
final product.
• For e.g.: The demand for steel, cement, textile, computers, etc.
Macro Level:
• Economics planners may like to know the future demand for the economy
as a whole, so that economic planning and policies can be tuned
accordingly.
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Objectives of Demand Forecasting
Short Term Objectives
• Regular availability of Labour.
• Price policy formulation.
• Proper control of sales.
• Arrangement of finance.
• Regular supply of raw
materials.
• Formulation of production
policy.
Long Term Objectives
• Labour requirements.
• Arrangement of finance.
• To decide about future
expansion.
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Methods of Demand Forecasting
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Methods of Demand Estimation
Survey Methods Statistical Methods
Survey of Buyer’s Intension
Collective Opinion Method
Trend Projection Method
Economic Indicators Method
Survey Method
• Survey method is one of the direct methods of forecasting
demand in the short term. This method includes the future
purchase plans of consumers and their intentions.
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Survey of Buyer’s Intension
• Demand forecasting by consumer survey methods is done by taking the
view of consumers directly about their future plans about a product.
• Various methods are adopted for surveying the consumer.
• This method uses the most direct approach to demand forecasting by
directly asking the consumers about their future consumption plans.
• They are excepted to give answers to questions like what items they intend
to buy, in what quantity, why, where, when, what quality they expect, how
much money they are planning to spend, etc.
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Collect Opinion Method
• Under this method, salesmen, professional experts, the market experts,
and others are asked to give their opinions about the capacity of sales
expected in the future.
• Salesmen are needed to estimate expected sales in their areas.
• Salesmen being the closest to customers, have most personal feel of the
market.
• The evaluation of individual salesmen is consolidated to find out the total
estimated sales.
• These estimates are reviewed to eliminate the cross of optimism or
pessimism.
• Thereafter, they are further revised in the light of factors proposed for
change in prices, product design, advertising, budget, expected change in
competition, changes in purchasing power, income distribution,
employment, population, etc.
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Statistical Methods
• Statistical methods are methods of demand forecasting used to forecast
demand in the long term. In this method, demand is forecast on the basis
of historical data and cross-sectional data.
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Trend Projection Method
• An old firm can use its own data of past years regarding its sales in the past
years.
• This data is known as time series of sales.
• A firm can predict sales of its product by fitting trend to the time series of
sales.
• A trend line can be fit by graphic method or algebraic equations. Equations
method is more appropriate.
• Trend can be estimated by using any one of the following methods:
• Graphical method
• Least square method
• Time series data
• Moving average method
• Exponential smoothing
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Economic Indicators
• The demand for a product can be assessed based on certain economic
indicators.
• These economic indicators are given by the specialised economic and
statistical organisations like Central Statistical Organisation or National
Council of Applied Economic Research.
• According to this method, the forecaster should establish the relationship
between the sale of the product and economic indicators to assess correct
demand and to measure to what extent these indicators affect the demand.
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Economic Indicators
• Construction contract sanctioned for demand towards building materials
like cement.
• Personal income towards demand for consumer goods.
• Agriculture income towards the demand for agricultural inputs,
instruments,fertilizers, etc.
• Automobile registration towards demand for car spare parts, petrol, etc.
• Personal income, consumer price index, money supply, etc., towards
demand for consumption
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Forecasting for a New Product
• Joel Dean has classified a number of possible approaches as follows:
• The new goods may be considered as an outgrowth of an existing goods,
and the demand for the new goods may be taken as an outgrowth of the
demand for the existing goods.
• The new goods may be taken as a substitute for the existing goods, and the
demand for new goods may be estimated properly.
• • The manager should analyse carefully the basis of growth of the existing
goods and then estimate the rate of growth and the possible quantity of
demand for new goods.
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Forecasting for a New Product
• The manager can arrange to contact the ultimate consumers directly or
through the use of samples of new goods, find out their responses, and
make an estimate of the demand for new product.
• He can seek to find out the consumers responses to the new goods
indirectly through getting in touch with some specialised and informed
dealers who have good knowledge about the market and different varieties
of the goods already available in the market, consumer’s preference, etc.
• The company can test market the goods in a sample market, find out the
reactions of the market and then make an estimate of demand for the
whole country for the short period
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Conditions for Good Forecasting Method
1. Accuracy in method forecast.
2. Plausible.
3. Economy.
4. Quick results.
5. Availability and timeliness.
6. Durability.
7. Flexibility.
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EXERCISE
Q1. In which of the following forecasting technique, data obtained
from past experience is analyzed?
• Judgemental forecast
• Time series forecast
• Associative model
• All of the above
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EXERCISE
Q2. Short term regular variations related to the calendar or time of day
is known as:
• Trend
• Seasonality
• Cycles
• Random variations
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EXERCISE
Q3. Operations generated forecasts often not to do with:
a) Inventory requirements
b) Resource needs
c) Time requirements
d) Sales
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