The approach to address the client’s challenge included:

  • Different models were built for baseline estimates and ROI calculation
  • Models were built at SKU-Planning customer level
  • Impact of each trade promotion was analysed, and highly accurate baseline sales predicted
  • The ROI of each trade promotion was forecasted
  • Trade promotion simulator to predict which promotion will give maximum revenue impact


  • ML driven model to evaluate impact of trade promotion spends
  • Scalable platform to understand the trade spend effectiveness across brands and regions
  • Visualization platform cum scenario planner was embedded to help category managers optimize trade spends


  • Our solution contributed to ~1.5M profit from increased net sales YoY
  • It was able to save 34k YoY cost from the elimination of existing system