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What is Sales Forecasting?
• A sales forecast is a projection of the expected customer
demand for products or services at a specific company, for a
specific time horizon, and with certain underlying
assumptions.
 Types:
 Short range (3 to 6 months)
 Medium range (6 months to 2 years)
 Long range (More than 2 years)
Factors affecting sales forecasting
External Factors
 Relative state of the economy
 Direct and indirect competition
 Styles or fashions
 Consumer earnings
 Population changes
 Weather
Contd…
Internal Factors
 Labour problems
 Inventory shortages
 Working capital shortage
 Price changes
 Change in distribution method
 Production capability shortage
 New product lines
Benefits of Sales Forecasting
 Better control of Inventory
 Staffing
 Customer Information
 Use for Sales People
 Obtaining Financing
Contd..
 Production
 Equipments
 Raw material
 Basis for sales quota assignment
 Determines companies business
 Marketing plans
Sales forecasting process
Forecast
objective
Determine
dependent and
independent
variables
Develop
forecast
procedure
Select forecast
analysis
method
Total forecast
procedure
Gather and
analyze data
Present
assumption
about data
Make and finalize
forecast
Evaluate
results versus
forecast
Sales forecasting methods
8
Qualitative Quantitative
Executive opinion method Time Series Analysis
Delphi Method Market Test Method
Sales force composite
method
Regression Analysis
Survey of Buyer’s intentions
Executive opinion method
 Most widely used
 Method of combining and averaging views of several executives
regarding a specific decision or forecast.
 Leads to a quicker (and often more reliable) result without use of
elaborate data manipulation and statistical techniques. eg:Nestle
Delphi Method
• Process includes a coordinator getting forecasts separately from experts,
summarizing the forecasts giving the summary report to experts who are
asked to make another prediction; the process is repeated till some
consensus is reached.eg:Nerolac
Sales force composite method
 Individual salespersons forecast sales for their territories
 Individual forecasts are combined & modified by the sales
manager to form the company sales forecast.
 Best used when a highly trained & specialized sales force is
used.
Survey of Buyer’s intentions
 Process includes asking customers about their intentions
to buy the company’s product and services
 Questionnaire may contain other relevant questions.
Time Series Analysis
• Makes forecasts based purely on historical patterns in the
data.
• The Trend component-Gradual upward or downward
movement over time.eg: MC donalds
Market Test Method
 Used for developing one time forecasts particularly
relating to new products
 A market test provides data about consumers'
actual purchases and responsiveness to the various
elements of the marketing mix.
 On the basis of the response received to a sample
market test, product sales forecast is prepared.
Regression Analysis
 Identifies a statistical relationship between sales(dependent
variable) and one or more influencing factors, which are
termed the independent variables.
 When just one independent variable is considered (eg.
population growth), it is called a linear regression, and the
results can be shown as a line graph predicting future values
of sales based on changes in the independent variable.
 When more than one independent variable is considered, it
is called a multiple regression.
Limitations of Sales Forecasting
 Part hard fact, part guesswork
 Forecast may be wrong
 Times may change
MDDS
 Stands for marketing decision support system.
 Designed to generate ,process, store and later retrieve
information to aid decision making in an organization,
 Provides faster, less expensive and more complete
information.
 Executives can retain more frequent and detailed
reports.
 Management can monitor sales,market & sales people.
Example of sales forecasting
T
The blue shows confirmed business, the remaining colours show the business up for grabs in the market
and the chance of winning it.
Decision Making
Marketing Plan
Sales
Forecasting
Sales force
budget
Thank you

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Sales forecasting

  • 1.
  • 2. What is Sales Forecasting? • A sales forecast is a projection of the expected customer demand for products or services at a specific company, for a specific time horizon, and with certain underlying assumptions.  Types:  Short range (3 to 6 months)  Medium range (6 months to 2 years)  Long range (More than 2 years)
  • 3. Factors affecting sales forecasting External Factors  Relative state of the economy  Direct and indirect competition  Styles or fashions  Consumer earnings  Population changes  Weather
  • 4. Contd… Internal Factors  Labour problems  Inventory shortages  Working capital shortage  Price changes  Change in distribution method  Production capability shortage  New product lines
  • 5. Benefits of Sales Forecasting  Better control of Inventory  Staffing  Customer Information  Use for Sales People  Obtaining Financing
  • 6. Contd..  Production  Equipments  Raw material  Basis for sales quota assignment  Determines companies business  Marketing plans
  • 7. Sales forecasting process Forecast objective Determine dependent and independent variables Develop forecast procedure Select forecast analysis method Total forecast procedure Gather and analyze data Present assumption about data Make and finalize forecast Evaluate results versus forecast
  • 8. Sales forecasting methods 8 Qualitative Quantitative Executive opinion method Time Series Analysis Delphi Method Market Test Method Sales force composite method Regression Analysis Survey of Buyer’s intentions
  • 9. Executive opinion method  Most widely used  Method of combining and averaging views of several executives regarding a specific decision or forecast.  Leads to a quicker (and often more reliable) result without use of elaborate data manipulation and statistical techniques. eg:Nestle Delphi Method • Process includes a coordinator getting forecasts separately from experts, summarizing the forecasts giving the summary report to experts who are asked to make another prediction; the process is repeated till some consensus is reached.eg:Nerolac
  • 10. Sales force composite method  Individual salespersons forecast sales for their territories  Individual forecasts are combined & modified by the sales manager to form the company sales forecast.  Best used when a highly trained & specialized sales force is used. Survey of Buyer’s intentions  Process includes asking customers about their intentions to buy the company’s product and services  Questionnaire may contain other relevant questions.
  • 11. Time Series Analysis • Makes forecasts based purely on historical patterns in the data. • The Trend component-Gradual upward or downward movement over time.eg: MC donalds
  • 12. Market Test Method  Used for developing one time forecasts particularly relating to new products  A market test provides data about consumers' actual purchases and responsiveness to the various elements of the marketing mix.  On the basis of the response received to a sample market test, product sales forecast is prepared.
  • 13. Regression Analysis  Identifies a statistical relationship between sales(dependent variable) and one or more influencing factors, which are termed the independent variables.  When just one independent variable is considered (eg. population growth), it is called a linear regression, and the results can be shown as a line graph predicting future values of sales based on changes in the independent variable.  When more than one independent variable is considered, it is called a multiple regression.
  • 14. Limitations of Sales Forecasting  Part hard fact, part guesswork  Forecast may be wrong  Times may change
  • 15. MDDS  Stands for marketing decision support system.  Designed to generate ,process, store and later retrieve information to aid decision making in an organization,  Provides faster, less expensive and more complete information.  Executives can retain more frequent and detailed reports.  Management can monitor sales,market & sales people.
  • 16. Example of sales forecasting T The blue shows confirmed business, the remaining colours show the business up for grabs in the market and the chance of winning it.