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INTRODUCING
PRICING ANALYTICS
IN AN
E-COMMERCE
PROBLEMS WE PROPOSE TO TACKLE
• Uncompetitive pricing on Limeroad
• Vendor unawareness for effective pricing
• Disconnect between promotions and pricing
• Ad-hocness in selection for any promotions
HOW?
• Data Analysis
• Competitive Price Mapping
• Monitoring Competitiveness of the Portal through Market Price
Index and Market Compatibility Index
• Assisting vendors in developing low price for right products and
right price for all products
NEXT STEP?
Product/ Brand
Selection (Data
Analysis)
Competitive Intelligence
(CPM/ MPI/ MCI)
Internal Analyst Team to
Build Recommendations
( Assisting vendors)
Automatic Pricing
Recommendation
Rules
Dynamic
Pricing Rules
Tracking Results
with Pricing
Analytics (Basic)
Tracking Results with
Pricing Analytics
(Ex: Forecasting Models)
WHAT WE HAVE TO OFFER?
• Competitive pricing across the board
• Better selection at better pricing
• Developing algo for targeted price strategy development
• R&D for effective pricing strategy
WHAT IS REQUIRED?
• Data Support for better understanding the buyer’s and seller’s
environment on LR
• Tech support for scaling up the web crawling and developing
competitive intelligence

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Pricing Team

  • 2. PROBLEMS WE PROPOSE TO TACKLE • Uncompetitive pricing on Limeroad • Vendor unawareness for effective pricing • Disconnect between promotions and pricing • Ad-hocness in selection for any promotions
  • 3. HOW? • Data Analysis • Competitive Price Mapping • Monitoring Competitiveness of the Portal through Market Price Index and Market Compatibility Index • Assisting vendors in developing low price for right products and right price for all products
  • 4. NEXT STEP? Product/ Brand Selection (Data Analysis) Competitive Intelligence (CPM/ MPI/ MCI) Internal Analyst Team to Build Recommendations ( Assisting vendors) Automatic Pricing Recommendation Rules Dynamic Pricing Rules Tracking Results with Pricing Analytics (Basic) Tracking Results with Pricing Analytics (Ex: Forecasting Models)
  • 5. WHAT WE HAVE TO OFFER? • Competitive pricing across the board • Better selection at better pricing • Developing algo for targeted price strategy development • R&D for effective pricing strategy
  • 6. WHAT IS REQUIRED? • Data Support for better understanding the buyer’s and seller’s environment on LR • Tech support for scaling up the web crawling and developing competitive intelligence