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

              KEY BENEFITS

              • 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