Predictive Analytics Solution with Order Management to Avoid Overstock and Under-stock scenarios

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Requirement

A solution that helps retailers in automating order management and stock replenishment based on season, historical trends, and minimum and maximum stock benchmarks.

Solution

  • The system is based on predictive analytics that works on historical data of past orders, seasonal demands, and stock levels to predict the order size for retailers.
  • The system is integrated with POS that collects data real-time and automates the order management which avoids under-stock and over-stock scenarios for retailers.
  • It will not just help retailers in stock replenishment but also improve the Sales and RoI by predicting sales and stock trends backed by data.