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    Methods of demand forecasting

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    Prepared by :

    Dr. K. BARANIDHARAN

    PROF.MBA

    SRI SAIRAM INSTITUTE OF TECHNOLOGY

    CHENNAI

    ENGINEERING ECONOMICS

    AND

    FINANCIAL ACCOUNTING

    Sri Sairam Institute of Technology 3

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    EngineeringEconomics& Financial

    Accounting

    Eefa

    49 August 2014

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    METHODS OF DEMAND FORECASTING

    1.consumer opinion survey:

    Survey of consumers or buyers intentions

    rests on the belief that the best and the

    most obvious way to gauge the demand for

    a commodity is to take opinion of the users

    of the product.

    In consumers opinion survey buyers askedabout their future buying intention of

    product, their and brand preferences and

    quantities of purchases.

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    i) CENSUS method:involves contracting each

    and every buyer , but this very time taking and

    costly and its often not desirable.

    Ii) SIMPLE method: involves survey of only

    representative sample of buyers.

    Merits:

    Simple, result obtained are realistic,

    Demerits:

    Expenses, unsuitable long term forecast

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    SALES FORCE COMPOSIT

    SALESPERSON are in direct contact with

    the customers and hence are in a betterposition to F demand for any product.

    Salesperson are asked about theirestimated sales targets in the

    respective sales territories in a given

    period of time.

    The sum of total of such estimates

    forms the basis of forecast demand.

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    Merits:

    Simple, it is very cost effective as no

    additional cost is incurred on

    collection of data, estimated figures

    are more reliable Demerits;

    Result is bias, salesperson unawareeconomic environment, short-term

    only not long-term forecast

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    EXPERTS OPINION METHOD

    Fdis essentially based on theopinion of experts, either internal

    or external to the firm.

    GROUP DISSCUSSION;

    Expert meet as a group to findout

    future demand level. Meetings,

    conference.

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    Merits:

    Decisions are enriched with the experience of

    component experts. The firm need not spend time and resources in

    collection of data by survey.

    Very useful when the product is absolute new toall the markets.

    Demerits:

    The techniques relies more on the experience ofexperts than on available data, and may thus

    involve some amount of bias.

    Risk and loss of confidential

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    MARKET SIMULATION It is like Laboratory testing of consumer

    behaviour. Laboratory experiment can be useful is ascertaing

    consumers, reactions to changes in price,

    packaging etc., Merits;

    Market experiments often provide useful

    New product is best

    Demerits:

    Amount, time, money, spend

    People behaviour entirely different

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    TEST MARKETING

    In test marketing the product is actually

    sold in certain segment of the market,regarded as test market.

    Merits:

    Most reliable

    Very suitable for new product

    Less risk Demerits:

    costly

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    Trend Projection

    A classical method trend projection is a

    powerful statistical tool that is frequentlyused to predict future values of a a

    variable on the basis of Time series data.

    Components of Time series data:

    Secular trend

    Seasonal trend

    Cyclical trend

    Random events

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    Merits:

    Simple to apply

    It is reliable in forecasting demand

    Demerits:

    The accuracy of trend projection

    method depends on the availability of

    time series data; the longer the series,the better the result

    Past data not available

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    Methods of trend projection

    A) Graphical method: very simple but provides a

    general indication and fails to predict futurevalue of demand.

    B) Least square method:Least squares estimation

    is based on the minimisation of squareddiviations between the best fitting line and the

    original observation given.

    C) ARIMA method:Auto Rrgressive IntegratedMoving Average, method has been given by Box

    and Jenkins, therefore this method is also known

    as Box Jenkins method.

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    Moving average:

    Weighted moving average

    Exponential smoothing: assigns greater weights tothe more recent data.

    Barometric techniques:

    In barometric forecasting we construct an index of

    relevant economic indicators and forecast future

    trends on the basis of the indicators.

    Merits: macro and micro economics- less costly

    Demerits: it may not applicable for LTF

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    ECONOMETRIC METHODS

    Econometrics the social science in which

    the tools of economic theory,

    mathematics and statistical inference are

    applied to the analysis of economicphenomena.

    Two methods:

    1. Regression Analysis

    2. Correlation

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    CONTROLLED EXPERIMENTS

    Refers To Such Exercises where

    some of major determinants of

    demand are manipulated to suitto the customers with different

    taste and preferences, incomegroups, and such others.

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    JUDGEMENTAL APPROACH

    Directly related to the given product or

    service, the management has no alternative

    other than using its own judgment.

    Even when the above methods are used the

    forecasting process is supplemented with the

    factor of judgment for the following reasons:

    Historical data for significantly long period isnot available.

    Sales fluctuations are wide and significant.

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