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Sales Forecasting
Madhu Bhatia
Madhu Bhatia
• 12 Years of diverse experience with
Investment banks as well as BIG 4
• Provides advisory services to SME &
MSMEs in the areas of corporate
finance, strategic planning, capital
structure, working capital
management, and MIS reporting
• A CA from Institute of Chartered
accountants of India (ICAI) and an
MBA- Finance from IBS
Audience
• Marketing Management Professionals
• Sales Management Professionals
• Business Owners
• Anyone who wish to understand how to prepare
Sales forecast
• Introduction
oWhat is sales forecasting
oWhy is sales forecasting important
oEssentials of Sales forecasting
oAreas that benefits sales forecasting
• Factors that impact Sales forecast
oInternal Factors
oExternal Factors
Table of contents
• Preparing for a Sales forecast
oDefine the market
oSelect a forecast technique
• Sales forecasting Techniques – Part I
oQuantitative Forecasting
oData Collection
oRollover Techniques
oMoving Averages
oUnderstanding Smoothing
Table of contents
• Sales forecasting Techniques – Part II
oQualitative Forecasting
oExpert Opinion
oEstimates from Customers
oHistorical Analogy
oDelphi Method
Table of contents
• Common Methods to forecast Sales
oMethod I – Historical based Sales forecast with
example
oMethod II – Pipeline based Sales forecast with
example
oMethod III – Multi variable analysis with example
oMethod IV – Length of Sales cycle forecast with
example
Table of contents
• How to create Sales forecast
oSteps n Sales forecasting
oStrategies to create an accurate Sales forecasting
Model
oCase Study I
oCase Study II
• Summary & Conclusion
oSummary & Conclusion
Table of contents
Prerequisites
• Basic understanding of Marketing
• Basic Math skills
• Basic knowledge of Excel
• Understand what Sales Forecasting is
• Step-by-step process to create a Sales forecast
• Qualitative & Quantitative forecasting methods
• How to select the right forecasting technique
• Methods to forecast sales
What am I going to get from this course?
SECTION 1
Introduction
What is Sales Forecasting?
Introduction 13
Projections Multi Purpose
Much more than
number
Inform what to expect
and how to deal with
possible events
Sales
Forecasting
Importance of Sales Forecasting
Introduction 14
Financial Planning
Management
Inventory Controls
Cash Flow
Essentials of Sales Forecast
Introduction 15
Value of the
Sale
When it is
likely to close
Percentage
likely hood of
close
Areas that benefits Sales forecasting
Introduction 16
Sales
Forecasting
Cash Flow
Purchasing
Planning
Tracking
SECTION 2
Factors that impact Sales Forecast
Internal Factors
Factors that impact Sales Forecast 18
Capital
Human
Resource
Working
Capital
New
product
lines
Production
Capacity
Factors that impact Sales Forecast 19
External Factors
Economic
Factors
Consumer
factors
Rules &
Regulatio
ns
Political
events
Climate
Competit
ion
Quiz 1
Preparing for a Sales Forecast 20
S ltd was into making of appliances using steel as a raw material. S ltd
relied heavily on China for getting this Raw material. The US government
introduced a 25% tariff on steel imports applicable from the new
financial year. Identify the factor that would impact the sales forecast
A. Internal factor
B. External Factor
Ans – B External factor
SECTION 3
Preparing for a Sales forecast
Define the Market
Preparing for a Sales Forecast 22
• Define Market category
o Wide scope
o Narrow scope
• Trends
• Psychographics
• Competition
Preparing for a Sales Forecast 23
Market Dynamics
• Action of Competitors
• Legal changes
• Political decisions
• Consumer Preferences
• Technology
Quiz 2
Preparing for a Sales Forecast 24
C ltd has observed and identified a trend occurring in their
market category. So C ltd should now also
A. Understand the reason behind the trend
B. Identify ways to change the trend
Ans – A
SECTION 4
Sales Forecasting Techniques - Part I
Assumptions inherent in Forecasting
Sales Forecasting Techniques - Part I 26
• Same casual relationship existed in past
• Rarely perfect
• Accuracy would decrease as the time horizon increases
• Forecasts for Group of items more accurate then single items
Quantitative Forecasting
Sales Forecasting Techniques - Part I 27
• Statistical technique
• Based on Numbers and not expertise
• Helps to spot trends and forecast more accurately
• Respects history
• Eliminates inflated forecasts
• Types
• Time-Series Models
• Casual Model
Quantitative forecasts
Sales Forecasting Techniques - Part I 28
Advantages Disadvantages
More objective Cannot account for each
variable in the market
Easy to analyze Unexpected occurrences
Easy to interpret
Data Collection
Sales Forecasting Techniques - Part I 29
DataCollection
Historical
Information
Data Cleaning
Plotting the data
Acquisitions and
sell offs
Make the data
Consistent
0
2
4
6
8
10
12
14
16
18
20
0 5 10 15 20 25 30
Sales (mn $)
Rollover Technique
Sales Forecasting Techniques - Part I 30
• Also known as Naïve Method
• Projections based on past data
• Past Actual sales = Next Sales Forecast
• No adjustments to past periods
• File 1_01
Moving Averages
Preparing for a Sales Forecast 31
• Average value over a set time period
• Responsive to trend
• Weighted Moving Average
• File 1_02
Month Sales (in’000) Weights
Jan 5,000 0.1
Feb 2,500 0.2
Mar 3,500 0.3
Apr 4,500 0.4
Understanding Smoothing
Preparing for a Sales Forecast 32
• Frequently used method by experts
• Data needed -:
o Last period’s actual sales (A)
o Current Period forecast (F)
o Weighting factor (S)
• File 1_03
Casual Models
Sales Forecasting Techniques - Part I 33
• Dependent & Independent variable
• Cause & effect relationship
• Regression Model
• Multiple Regression
• File 2_01
Quiz 3
Preparing for a Sales Forecast 34
Before selecting a sales forecasting technique what should we ask?
A. What are methods used earlier?
B. How much data we have about the past sales
C. How well is the market understood by the companies sales people
D. All of above
Ans – D
Quiz 4
Preparing for a Sales Forecast 35
A ltd served Europe, US and Asian markets in 2000. However, they
withdrew from European markets in 2011. A ltd while preparing
sales forecast for 2018 -
A. Ignore historical data with regards to European markets
B. Include sales made in European markets in the historical data
Ans – A

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Sales Forecasting

  • 1.
  • 3. Madhu Bhatia • 12 Years of diverse experience with Investment banks as well as BIG 4 • Provides advisory services to SME & MSMEs in the areas of corporate finance, strategic planning, capital structure, working capital management, and MIS reporting • A CA from Institute of Chartered accountants of India (ICAI) and an MBA- Finance from IBS
  • 4. Audience • Marketing Management Professionals • Sales Management Professionals • Business Owners • Anyone who wish to understand how to prepare Sales forecast
  • 5. • Introduction oWhat is sales forecasting oWhy is sales forecasting important oEssentials of Sales forecasting oAreas that benefits sales forecasting • Factors that impact Sales forecast oInternal Factors oExternal Factors Table of contents
  • 6. • Preparing for a Sales forecast oDefine the market oSelect a forecast technique • Sales forecasting Techniques – Part I oQuantitative Forecasting oData Collection oRollover Techniques oMoving Averages oUnderstanding Smoothing Table of contents
  • 7. • Sales forecasting Techniques – Part II oQualitative Forecasting oExpert Opinion oEstimates from Customers oHistorical Analogy oDelphi Method Table of contents
  • 8. • Common Methods to forecast Sales oMethod I – Historical based Sales forecast with example oMethod II – Pipeline based Sales forecast with example oMethod III – Multi variable analysis with example oMethod IV – Length of Sales cycle forecast with example Table of contents
  • 9. • How to create Sales forecast oSteps n Sales forecasting oStrategies to create an accurate Sales forecasting Model oCase Study I oCase Study II • Summary & Conclusion oSummary & Conclusion Table of contents
  • 10. Prerequisites • Basic understanding of Marketing • Basic Math skills • Basic knowledge of Excel
  • 11. • Understand what Sales Forecasting is • Step-by-step process to create a Sales forecast • Qualitative & Quantitative forecasting methods • How to select the right forecasting technique • Methods to forecast sales What am I going to get from this course?
  • 13. What is Sales Forecasting? Introduction 13 Projections Multi Purpose Much more than number Inform what to expect and how to deal with possible events Sales Forecasting
  • 14. Importance of Sales Forecasting Introduction 14 Financial Planning Management Inventory Controls Cash Flow
  • 15. Essentials of Sales Forecast Introduction 15 Value of the Sale When it is likely to close Percentage likely hood of close
  • 16. Areas that benefits Sales forecasting Introduction 16 Sales Forecasting Cash Flow Purchasing Planning Tracking
  • 17. SECTION 2 Factors that impact Sales Forecast
  • 18. Internal Factors Factors that impact Sales Forecast 18 Capital Human Resource Working Capital New product lines Production Capacity
  • 19. Factors that impact Sales Forecast 19 External Factors Economic Factors Consumer factors Rules & Regulatio ns Political events Climate Competit ion
  • 20. Quiz 1 Preparing for a Sales Forecast 20 S ltd was into making of appliances using steel as a raw material. S ltd relied heavily on China for getting this Raw material. The US government introduced a 25% tariff on steel imports applicable from the new financial year. Identify the factor that would impact the sales forecast A. Internal factor B. External Factor Ans – B External factor
  • 21. SECTION 3 Preparing for a Sales forecast
  • 22. Define the Market Preparing for a Sales Forecast 22 • Define Market category o Wide scope o Narrow scope • Trends • Psychographics • Competition
  • 23. Preparing for a Sales Forecast 23 Market Dynamics • Action of Competitors • Legal changes • Political decisions • Consumer Preferences • Technology
  • 24. Quiz 2 Preparing for a Sales Forecast 24 C ltd has observed and identified a trend occurring in their market category. So C ltd should now also A. Understand the reason behind the trend B. Identify ways to change the trend Ans – A
  • 25. SECTION 4 Sales Forecasting Techniques - Part I
  • 26. Assumptions inherent in Forecasting Sales Forecasting Techniques - Part I 26 • Same casual relationship existed in past • Rarely perfect • Accuracy would decrease as the time horizon increases • Forecasts for Group of items more accurate then single items
  • 27. Quantitative Forecasting Sales Forecasting Techniques - Part I 27 • Statistical technique • Based on Numbers and not expertise • Helps to spot trends and forecast more accurately • Respects history • Eliminates inflated forecasts • Types • Time-Series Models • Casual Model
  • 28. Quantitative forecasts Sales Forecasting Techniques - Part I 28 Advantages Disadvantages More objective Cannot account for each variable in the market Easy to analyze Unexpected occurrences Easy to interpret
  • 29. Data Collection Sales Forecasting Techniques - Part I 29 DataCollection Historical Information Data Cleaning Plotting the data Acquisitions and sell offs Make the data Consistent 0 2 4 6 8 10 12 14 16 18 20 0 5 10 15 20 25 30 Sales (mn $)
  • 30. Rollover Technique Sales Forecasting Techniques - Part I 30 • Also known as Naïve Method • Projections based on past data • Past Actual sales = Next Sales Forecast • No adjustments to past periods • File 1_01
  • 31. Moving Averages Preparing for a Sales Forecast 31 • Average value over a set time period • Responsive to trend • Weighted Moving Average • File 1_02 Month Sales (in’000) Weights Jan 5,000 0.1 Feb 2,500 0.2 Mar 3,500 0.3 Apr 4,500 0.4
  • 32. Understanding Smoothing Preparing for a Sales Forecast 32 • Frequently used method by experts • Data needed -: o Last period’s actual sales (A) o Current Period forecast (F) o Weighting factor (S) • File 1_03
  • 33. Casual Models Sales Forecasting Techniques - Part I 33 • Dependent & Independent variable • Cause & effect relationship • Regression Model • Multiple Regression • File 2_01
  • 34. Quiz 3 Preparing for a Sales Forecast 34 Before selecting a sales forecasting technique what should we ask? A. What are methods used earlier? B. How much data we have about the past sales C. How well is the market understood by the companies sales people D. All of above Ans – D
  • 35. Quiz 4 Preparing for a Sales Forecast 35 A ltd served Europe, US and Asian markets in 2000. However, they withdrew from European markets in 2011. A ltd while preparing sales forecast for 2018 - A. Ignore historical data with regards to European markets B. Include sales made in European markets in the historical data Ans – A

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