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

    快猫 亿万狼友的选择