Sales forecasting to improve monthly sales, get accurate revenue prediction, profitability and sales team effectiveness through machine learning

Global E-commerce store achieved optimized pricing with increased sales

Solution Highlights

  • Developed forecasting framework using ‘bottom up’ forecast (Prediction) and ‘top down’ forecast (time series forecasting)
  • Performed RFM and ABC analysis to filter out slow moving products
  • Segmented products as “New”, “Growth” , “Maturity” , “Discontinuation” and “Decline” based on the sales behaviour
  • Implemented various smoothing and regression methods and evaluated the performance using Jung-box test

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