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