Demand Forcasting doc

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Demand

forecasting



Why Demand Forecasting?

• Demand results in sales

• Which is the primary source of Revenue

• Predicting future demand for a product

• To avoid under or over production• Minimize the “Uncertainties”

• Rough estimate of the demand prospects

• Demand forecasting helps in planning to acquire inputs

( men & material), organizing production, advertisementand organizing sales channels.



Purpose of Forecasting Demand

• Short –run Forecast :

– Seasonal patterns are important

– Forecasting helps in preparing suitable sales policy and

proper scheduling of output.

– Pricing policy and modification in advertising and sales

techniques

• Long-run Forecast :

– Capital planning – Planning of production, material, man-hours, machine

time

– Changes in variables are included



Steps Involved in Forecasting

Identification of Objective

Nature of Goods

Selection of method

Of Forecasting

Interpretation of Results

Estimation of one /

more than one aspect

Goods havedifferent demand pattern



Steps Involved in Forecasting



Time Horizon



Demand Forecast Determined



Methods of Demand Forecasting

Techniques

Survey MethodsStatistical

Methods

Consumer Survey

Direct Interview

Opinion Poll

Methods

Trend

Projection

Econometric

Methods



• Where the purpose is to make short- run forecast of

demand.

• Consumer surveys are conducted to collect information

about their intentions and future plans.

1) Survey of potential consumers on their intentions and

plan.

2) Opinion polling of experts

Survey Methods



1) Consumer Survey Method

• Direct Interview with the potential consumers.

• Ask what quantity of the product would they buy at different

prices over a given period of time.

Consumer Survey

Method

Complete

Enumeration

Method

Sample Survey End-Use Metho



a) Complete Enumeration Method:

– All potential users of the product are contacted and askedabout their future plans of purchasing the product

– The quantities indicated by the consumers are addedtogether to obtain demand of the product

• Dp = q1 + q2 + q3+…………..+ qn

n

= ∑ qi i = 1

Limitation:

1) Only successful if consumers are concentrated in a certainregion or locality.

2) Consumers actual demand in future may not be known

3) Consumers may give hypothetical answers

4) Consumers response could be biased to their expectations

5) Consumers plan may change with the change in factors not

included in questionnaire



b) Sample Survey Method:

– Only few potential consumers /users are selected.

– Its through face to face/ telephonic interview or mailed / webquestionnaire

– On the information, the probable demand may be estimated.

– Less costly, less time- consuming

– Used to estimate short-term demand (yearly)

Dp = HR

HS

Dp = probable demand forecast

H = Census number of households

Hs = Sample Household

Hr = No of HH reporting demand for the product

Ad = Avg expected consumption ( Total quantity reported to beconsumed / no of hh)

( H. AD )



– Business firms, Government departments and

Households plan their expenditure one year in advance.

– Therefore they can supply a fairly reliable estimate of

their future expectations.

Limitations:

– Similar to complete enumerations – Quantification of variables (e,g Feelings, opinions,

expectations) is not possible



c) End- Use Method:

– Requires building up schedule for probable aggregate

future demands for inputs by consuming industries /

sectors

– Technological, structural & other changes which mightinfluence the demand are taken into account in the

process of estimation

– More relevant for B2B markets



c) End- Use Method:

– Stage 1 : List all possible uses of the product

– Stage 2 : Fix suitable technical norms for each

end use

» Per unit of production of complete product /

per unit of investment / per capita use

» Questionnaires used to collect relevant

information

– Stage 3 : Application of Norms

» Necessary to know targeted levels of outputof individual industries for the target year

» And likely development in other economic

activities which use the product & likely

output targets

– Sta e 4 : A re ation of demand of each end use



Limitations

• Enumeration of all possible uses – due to lack ofpublished data

• Despatch records of the manufactures, if available neednot enumerate all the final users.

• Impossible to organise and collect data of wide network ofwholesale and retail agencies

• Possibility of missing out end-uses or new applications

– Therefore estimations should provide some margin oferror

• Establishing norms – is difficult• Inaccuracy in estimating sales of target industries

Advantages

• Probing into current use-pattern of consumption of

product – it provides opportunity to determine the demandby types, categories & sizes etc

• It facilitates in diagnosis & pin-pointing as to where & whydid the actual consumption deviate from estimateddemand



2) Opinion Poll Method

• Aims at collecting opinions of those who possess knowledgeof the market

• Sales representatives, sales executives, marketing experts

and consultants

Opinion Poll

Expert -Opinion Delphi methodMarket studies/

experiment



a) Expert – Opinion Method:

– Firms having good network of sales representatives

can ask them to assess demand

– As they are in touch with consumers and consumption

pattern

– Can provide a approximate figure of likely demand

– Limitations:

• Estimates are reliable only to the extent of their

skill to analyse the market.

• The assessor may have subjective judgementwhich may lead to over / under estimation

• Inadequate information may be available to the

assessor as they may have narrow view of the

market.



b) Delphi Method:

– To consolidate the expert opinions and arrive at

estimate of future demand.

– Experts are provided information on the estimates of

other experts, and they revise their own estimates

– The consensus of experts about the forecast

constitutes the final forecast

This technique can be used for cross – checkinginformation on forecasts.



c) Market studies and experiments

To carry out studies on consumer behaviour under actual,

controlled market conditions.

Market studies:

– Firms select areas of market having similar features

( populations, income levels, cultural/ social

backgrounds, choices….) – Carry out experiments by changing variables of

demand functions

– Consequent changes in demand are recorded

– Assessment of demand of the product is made.

Experiments:

– Consumers are given money to buy goods with varying

prices, packages, displays…

– It reveals consumers responsiveness to the changes



Limitations:

– Expensive – unaffordable for small firms

– Experiments are carried out on a small scale leads to

generalization

– Studies are based on short term and controlled

conditions may not exist in uncontrolled market.

– Changes in socio-economic , climatic conditions may

alter the results.



• Advantages

– Subjectivity is minimum

– Method of estimation is scientific

– Estimates are relatively more reliable

– Involves smaller cost

Methods

1) Trend Projection Method

2) Econometric Method

Statistical Methods



a Trend Projection

• It is a study of movement of variables through time.

• Requires long and reliable time-series data• Its based on the assumption that factors responsible for

the past trends will continue to be the same in future.

a) Graphical Method:

– Annual sales data is plotted on a graph – Line is drawn through the plotted points

– Free line is drawn that the total distance between theline and points is minimum.

– Second line drawn taking the mid values of variations.

– The trend line is then extended to forecast thedemand for next year.

• The projections may not be realisable as theextension of trend line involves subjectivity and

personal bias.



1 Graphical Method

P

Year

Sales



2 Fitting Trend equation:

b) Fitting Trend equation: Least square method:

Trend line is fitted to the time-series data

Linear best fit curve

Minimises the deviation of the actual line

S = a + bT

S = Annual sales

T = time (years)

a & b are constant

∑ S = na + b ∑ T

∑ ST = a ∑ T + b ∑ T2



b) Econometric Method

• It combines statistical tools with economic theories toestimate economic variables.

• Forecast are more reliable

• This model try to identify all those economic and

demographic variables that influence the future value of

the variable under forecast.

Two types of method:a) Regression method

b) Simultaneous method




a) Regression method

• Establishes casual relationship between

– Dependent variable (demand)

– Independent variables (parameters that impact

demand)

• Most popular method

• As it combines

– Economic theory

• To specific determinants of demand & theirrelationship with demand

– Statistical techniques

• To estimate the values of parameter in the

equation. Or estimate the impact in the demand

for a unit change in the determinant





• Simple / Bivariate regression

– If demand of a commodity depends on a single independent

variable• E.g. – demand for salt / sugar depends largely on

population

– The relationship can be established using ‘least square

method’• As used in time series

• Only difference is time is replaced by the ‘independent

variable’ on which the demand depends the most





• Multi-variate regression

– If demand of a commodity depends on a more than oneindependent variables

• E.g. – demand for sweets, fruits, & vegetables depends

on price of the product, price of its substitutes,household income, population etc.

– Procedure

• Specify variables that have an impact on demand. Thiswill be different for different categories

• Next specify the form of equation – linear, logarithmic,power etc

• Collect the necessary data

• Estimate the value of co-efficient of the independentvariables through statistical techniques. Essentiallydone with the help of computer





– It uses one single equation

– It assumes one-way causation i.e. only independent variable

causes

variation in dependent variable and not vice versa• However, realistically demand for a product also has an

impact on price of the product

– This issue can be addressed through simultaneous equation

model




b) Simultaneous method

• Is a complete & systematic approach to forecasting

• It involves solving several simultaneous equations for estimatingdemand.

• It takes two- way causation i.e: simultaneous interaction betweendependent and independent variable. As well as inter-dependence

of independent variables

– For instance• Demand for white goods depends on product price, price

of substitute, household income, consumer preference,availability of credit & interest rate

• Interest rate depends on Availability of credit

• Which in turn may depend on many other economicparameters & government policies at that point.

• And so on

– Thus estimation of demand will require solving all suchfunctions simultaneously



Salient features of good forecasting

method

• Simplicity

• Accuracy

• Economy

• Availability• Applicability

Though mere possession of right tools is does not

necessarily mean accurate forecast. Equally important

is analysts judgement.

Demand Forcasting doc

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