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Sales Forecast
Objective

          Draw up
sales forecast and budget
        for year …….
Sales Forecast defined
• The Sales Forecast is the expected level of company sales
  based on a chosen marketing plan and an assumed marketing
  environment
• A sales forecast is a prediction based on past sales
  performance and an analysis of expected market conditions
• It's a self-assessment tool that uses past and current sales
  statistics to intelligently predict future performance.
• Sales forecasting involves predicting the amount people will
  purchase, given the product features and the conditions of
  the sale
Benefits of sales forecasting
• Enhanced cash flow
• Knowing when and how much to buy
• In-depth knowledge of customers and the products they order
• The ability to plan for production and capacity
• The ability to identify the pattern or trend of sales
• Determine the value of a business above the value of its
  current assets
• Ability to determine the expected return on investment
• See how well you are stacked against industry average
Company Wide Benefits
•   Increased revenue
•   Increased customer retention
•   Decreased costs
•   Increased efficiency
Factors that affect sales forecasting
•   Market Potential/Size
•   Market Share
•   Sales contracts that won't be renewed
•   New sales contracts that are on the horizon
•   Industry analysts' predictions for growth or shrinking in your
    market segment
•   Economic analysts' predictions for the increased or decreased
    buying power of consumers in your market
•   Political changes that could affect government contracts
•   Direct and indirect competition
•   Consumer earnings
Forecasting Techniques
• Historical Data
  – Prior Period
  – Moving Average
  – Decomposition
• Manager’s Judgment
• Executive Judgment
Forecasting Methods
1. For predictable /stable monthly Sales
   –   Sales Forecast=Past Sales+%age of inflation
2. For cyclical Monthly Sales
   – Suppose, for instance, that a short-term forecast is being made for the
     month of December. For some past years now sales in December have
     totalled 15% of annual sales. During the same period, August sales
     have averaged 10 percent of annual sales.
   – Sales during the previous August wN10,000,000ere N10,000,000.

   – N10,000,000 / .10 = N100,000,000(estimated annual sales)
   – Projected sales for December will be 15% of N100,000,000(or
     N15,000,000).
   – Sales for other months can be forecast in the same way.
Forecasting Methods cont’d
3.       Annual Sales Forecast
     –     Last Years’ Sales (N100,000,000)
     –     Guaranteed contracts (N5,000,000)
     –     Projected Growth for next year (10%)

     –     Sales forecast= 5,000,000+ 100,000,000+10%X 100,000,000=115,000,000
DATA COLLATION & ANALYSIS
How close to the truth do you want to come sir?
Data Needed
• Economic Environment of Business
   – PEST
• Products and Services
• Business Model
   – OTC & MRC
• Market Segments
   – Industries Served
• Last 3 years revenue
   – By Product
   – By Segment
   – By Industry
Data Needed
• Next year growth drivers
   – By Product
   – By Segment
   – By Industry
• Sales Opportunity funnel
   – By Product
   – By Segment
   – By Industry
• Risk Analysis
   – By Product
   – By Segment
   – By Industry/Clients
FORECASTING
Femi Olaiya
femi@redwdood-consulting.com

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Sales budgeting Methods

  • 2. Objective Draw up sales forecast and budget for year …….
  • 3. Sales Forecast defined • The Sales Forecast is the expected level of company sales based on a chosen marketing plan and an assumed marketing environment • A sales forecast is a prediction based on past sales performance and an analysis of expected market conditions • It's a self-assessment tool that uses past and current sales statistics to intelligently predict future performance. • Sales forecasting involves predicting the amount people will purchase, given the product features and the conditions of the sale
  • 4. Benefits of sales forecasting • Enhanced cash flow • Knowing when and how much to buy • In-depth knowledge of customers and the products they order • The ability to plan for production and capacity • The ability to identify the pattern or trend of sales • Determine the value of a business above the value of its current assets • Ability to determine the expected return on investment • See how well you are stacked against industry average
  • 5. Company Wide Benefits • Increased revenue • Increased customer retention • Decreased costs • Increased efficiency
  • 6. Factors that affect sales forecasting • Market Potential/Size • Market Share • Sales contracts that won't be renewed • New sales contracts that are on the horizon • Industry analysts' predictions for growth or shrinking in your market segment • Economic analysts' predictions for the increased or decreased buying power of consumers in your market • Political changes that could affect government contracts • Direct and indirect competition • Consumer earnings
  • 7. Forecasting Techniques • Historical Data – Prior Period – Moving Average – Decomposition • Manager’s Judgment • Executive Judgment
  • 8. Forecasting Methods 1. For predictable /stable monthly Sales – Sales Forecast=Past Sales+%age of inflation 2. For cyclical Monthly Sales – Suppose, for instance, that a short-term forecast is being made for the month of December. For some past years now sales in December have totalled 15% of annual sales. During the same period, August sales have averaged 10 percent of annual sales. – Sales during the previous August wN10,000,000ere N10,000,000. – N10,000,000 / .10 = N100,000,000(estimated annual sales) – Projected sales for December will be 15% of N100,000,000(or N15,000,000). – Sales for other months can be forecast in the same way.
  • 9. Forecasting Methods cont’d 3. Annual Sales Forecast – Last Years’ Sales (N100,000,000) – Guaranteed contracts (N5,000,000) – Projected Growth for next year (10%) – Sales forecast= 5,000,000+ 100,000,000+10%X 100,000,000=115,000,000
  • 10. DATA COLLATION & ANALYSIS
  • 11. How close to the truth do you want to come sir?
  • 12. Data Needed • Economic Environment of Business – PEST • Products and Services • Business Model – OTC & MRC • Market Segments – Industries Served • Last 3 years revenue – By Product – By Segment – By Industry
  • 13. Data Needed • Next year growth drivers – By Product – By Segment – By Industry • Sales Opportunity funnel – By Product – By Segment – By Industry • Risk Analysis – By Product – By Segment – By Industry/Clients