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Contents
• Family
• Member
• Analytical Engine
• Spreadbook
• Sequence
• Approval machanism
• Promotion planning
• Optimization
Family
● Item
– Item type
– Product category
– Product family
● Location
– Organization
-Operation Unit
-Business Group
● Sales Channel
● Account
-Customer
-Customer class
Family
Item
– Product Family
– Group
– Brand
– Location
– Operation unit
Item
Location
Members
Statistical Engine
Forecasting models
Simple Average
Moving Average
Exponential Smoothing
Seasonality
Causal Factors
Generate Forecast Run Simulations
Spreadbook
Statistical fcst sales
override
Mktg
override
Fin
override
Final fcst
Item Location Channel
Spreadbook
● Sequence
● Filters
● Graphs
Sequence
● Sales forecast
● Base overide
● Marketing overide
● Finance overide
● Factor overide on sales fcst
● Last year sales %
● Forecast as of 1 week ago
● Final Forecast
● 13 weeks lag abs dev
● 13 weeks lag abs percent error
Promotion Planning
Stages of promotion planning
• Unplanned
• Planned
• Approving a promotion
• Commiting a promotion
• Closing a promotion
• Duplicating a promotion
Graphs
Historical sales Base fcst sales override Mktg override Fin overide
0
10
20
30
40
50
60
70
80
90
100
Retailer Optimization
Name XYZ opticals
type of trade eyewear
No. of active stores 200
Account Classification growth
Avg everyday selling margin 24.00%
Min retail margin 14.00%
Feature display exp $15000
Display only exp $7500
Feature only exp $7500
TPR only exp $5000
key competitor ABC Opticals
Approval Mechanism
● Email with details
● All task visible at playfield
● Approval done based on visible queue.
Mfg and retailer collaboration
● Retailer
– Prepare various promotions types
– Select the most optimised promotion
– Run the promotion
– Compare promotion before and after
– Retailer give access to manufacturer for selected data
● Manufactures
– Mfg can evaluate his cost based on retailer's promotion
– Mfg can also simulate his various options based on retailer's
promotion and choose the best one.
– Mfg can even run the similar promotion for retailer
Prepare promotion types
Select the most suitable
promotion
Run the promotion
Compare promotion
before and after
Access for mfgers
on selected data
Retailers Manufacturers
Simulate various promotion
option to choose best
Evaluate incremental sales
based on retailers promotion
Run even similar promotion
as retailer
Working Flow

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Family member sales forecasting and promotion optimization

  • 1. Contents • Family • Member • Analytical Engine • Spreadbook • Sequence • Approval machanism • Promotion planning • Optimization
  • 2. Family ● Item – Item type – Product category – Product family ● Location – Organization -Operation Unit -Business Group ● Sales Channel ● Account -Customer -Customer class
  • 3. Family Item – Product Family – Group – Brand – Location – Operation unit Item Location Members
  • 4. Statistical Engine Forecasting models Simple Average Moving Average Exponential Smoothing Seasonality Causal Factors Generate Forecast Run Simulations
  • 7. Sequence ● Sales forecast ● Base overide ● Marketing overide ● Finance overide ● Factor overide on sales fcst ● Last year sales % ● Forecast as of 1 week ago ● Final Forecast ● 13 weeks lag abs dev ● 13 weeks lag abs percent error
  • 8. Promotion Planning Stages of promotion planning • Unplanned • Planned • Approving a promotion • Commiting a promotion • Closing a promotion • Duplicating a promotion
  • 9. Graphs Historical sales Base fcst sales override Mktg override Fin overide 0 10 20 30 40 50 60 70 80 90 100
  • 10. Retailer Optimization Name XYZ opticals type of trade eyewear No. of active stores 200 Account Classification growth Avg everyday selling margin 24.00% Min retail margin 14.00% Feature display exp $15000 Display only exp $7500 Feature only exp $7500 TPR only exp $5000 key competitor ABC Opticals
  • 11. Approval Mechanism ● Email with details ● All task visible at playfield ● Approval done based on visible queue.
  • 12. Mfg and retailer collaboration ● Retailer – Prepare various promotions types – Select the most optimised promotion – Run the promotion – Compare promotion before and after – Retailer give access to manufacturer for selected data ● Manufactures – Mfg can evaluate his cost based on retailer's promotion – Mfg can also simulate his various options based on retailer's promotion and choose the best one. – Mfg can even run the similar promotion for retailer
  • 13. Prepare promotion types Select the most suitable promotion Run the promotion Compare promotion before and after Access for mfgers on selected data Retailers Manufacturers Simulate various promotion option to choose best Evaluate incremental sales based on retailers promotion Run even similar promotion as retailer Working Flow