9 sales forcasting final
TRANSCRIPT
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What is a Sales Forecast?
Level of sales a single organization expects to
achieve based on a chosen market strategy and
an assumed competitive environment.
A forecast is not only an estimate of what
consumer’s demand will be for certain products,
but how much of them the firm can produce and
sell at certain prices, and how its competitors &
customers will respond to those prices.
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Forecasted Sales reflect…
1. The size of the target market.
2. The marketing mix chosen for the
target market.
3. The assumed number of competitors
and competitive intensity in the target
market.
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Market and sales forecasting
1. The sales and market forecasts provide the basis for
all subsequent planning and decision making.
2. Forecasting indicates what will happen in a given
environment if a specific set of decisions and actions
is implemented with no subsequent changes.
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Forecast characteristics
• Based on historical information from which
projections can be made.
• Look forward over a specific, clearly defined time
period.
• Make clearly specified assumptions, sinceuncertainty characterises the future.
• Market Forecast refers to the estimates of future
sales of a company’s products in the market
• Sales forecasting is very popular in industriallyadvanced countries where demand conditions are
always uncertain than the supply conditions
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REASONS FOR UNDERTAKING SALES
FORECASTS
Key decisions derived from sales forecasting include:
Employment levels required Promotional mix
Investment in production capacity
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TYPES OF FORECASTING
Macro forecasting is concerned with
forecasting markets in total. This is about
determining the existing level of Market
Demand and considering what will happen to
market demand in the future. Micro forecasting is concerned with detailed
unit sales forecasts. This is about determining
a product’s market share in a particular
industry/ organization and considering whatwill happen to that market share in the future.
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The selection of which type of forecasting
to use depends on several factors:
(1) The degree of accuracy required – if the
decisions that are to be made on the basis of the sales
forecast have high risks attached to them, then it
stands to reason that the forecast should be prepared
as accurately as possible. However, this involves more
cost
(2) The availability of data and information - in some
markets there is a wealth of available sales information(e.g. clothing retail, food retailing, holidays); in others it
is hard to find reliable, up-to-date information
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(3)The time horizon that the sales forecast is
intended to cover . For example, are we forecasting
next weeks’ sales, or are we trying to forecast whatwill happen to the overall size of the market in the
next five years?
(4) The position of the products in its lifecycle. For example, for products at the
“introductory” stage of the product life cycle, less
sales data and information may be available than for
products at the “maturity” stage when time series
can be a useful forecasting method.
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Sales forecasts can be based on three
types of information:
(1) What customers say about their intentions to
continue buying products in the industry
(2) What customers are actually doing in the
market
(3) What customers have done in the past in the
market
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PURPOSES OF SHORT-TERM FORECASTING
Appropriate production scheduling
Reducing cost of purchasing Raw Materials.
Determining appropriate price policy
Setting sales targets and establishing controls andincentives
Evolving a suitable promotional program
Forecasting short-term financial requirements
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PURPOSES OF LONG-TERM FORECASTING
Planning of a new unit or expansion of an existing
unit
Planning of long-term financial requirements
Planning of man-power requirements
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Forecasting methods
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METHODS OF SALES FORECASTING
Survey of Buyers’ Intentions
Opinion Poll and
Survey Method
Collective Opinion
Analysis of Time Series and Trend Projections
Use of Economic Indicators
Controlled Experiments
Judgmental Approach
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The four stage approach to forecasting
(Wolf e 1966)
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Sales analysis
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Marketing costs and profitability analysis
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Making a Sales Forecast
1. Market potential (M)
2. Proportion of market you are Targeting (T)
3. Extent of market Coverage (C)
4. Number of Units expected to sell per
customer during the year (U)
5. Average Price per unit (P)
Sales Forecast is a function of:
Sales Forecast = M x T x C x U x P
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Making a Sales ForecastExample
Total number of potential buyers = 1 Lks.
Target Market (25%) = x 0.25
Market Coverage (75%) = x 0.75
Units purchased per year (20) = x 20
Average Price (10 Rs.) = x 10 Rs.
Forecasted Sales = 37.5 Lks.
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Qualitative targets
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The Relationship of Forecasting to Budgets
Sales Forecasts
Sales Budget
Production Budget
Direct Labor Budget
Cost of Goods Sold Budget
Budgeted P/L Statement
Budgeted Balance Sheet
Revenue Budget
Revenue Budget
Sales &
Administration
Expenses Budget
Factory O/H
Budget
Expenses
Budget
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Functional organisation
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Product organisation
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Regional organisation
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Matrix organisation
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The marketing control process
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Examples of marketing performance evaluation
methods
• Sales analysis.
• Costs and profitability analysis.
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Sales analysis
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Marketing costs and profitability analysis