Data science redused the work intensity for 10%.
By Revolt BI s.r.o
Client
Project Description
Demand forecasting using data science techniques simplifies the client’s warehouse operations and goods flow.Baseline situationA leading sports equipment retailer with nearly 200 brick-and-mortar stores and an e-shop needed to forecast demand for goods that were highly subject to various influences, especially weather fluctuations, which complicated warehouse operations. Our approachRevolt BI created a predictive model that predicts the turnover of specific goods at SKU level in all branches and in the e-shop with an accuracy of 80-90%. This allows for optimization of intralogistics operations, particularly stock placement, picking and preparing merchandise for surges in demand. Achieved successWith the help of demand forecasting, it was possible to optimize intralogistics processes to such an extent that the time spent picking goods was reduced, the planning of warehouse operational resources was improved and the overall labor intensity of warehouse operations decreased by 10%.
Demand forecasting using data science techniques simplifies the client’s warehouse operations and goods flow.Baseline situationA leading sports equipment retailer with nearly 200 brick-and-mortar stores and an e-shop needed to forecast demand for goods that were highly subject to various influences, especially weather fluctuations, which complicated warehouse operations. Our approachRevolt BI created a predictive model that predicts the turnover of specific goods at SKU level in all branches and in the e-shop with an accuracy of 80-90%. This allows for optimization of intralogistics operations, particularly stock placement, picking and preparing merchandise for surges in demand. Achieved successWith the help of demand forecasting, it was possible to optimize intralogistics processes to such an extent that the time spent picking goods was reduced, the planning of warehouse operational resources was improved and the overall labor intensity of warehouse operations decreased by 10%.
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