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One Stop improves stock forecasts

By Retail Technology | Tuesday May 3 2022 | UPDATED 02.05.22

UK convenience retailer One Stop has benefited from more accurate stock forecast and higher availability with new stock forecasting technology

One Stop has implemented Relex Solutions’ machine learning-based demand forecasting solution to effectively manage supply chain complexities across its entire product range.

The Relex demand forecasting solution uses machine learning to manage One Stop’s broad selection of product offerings – ranging from ultra-fresh products with short spoiling times to more ambient inventory with longer shelf life. It also assesses the demand for products that are sensitive to external factors such as weather. In addition, the solution identifies sales for products that are easily cannibalised by promotions on similar items.

Richard Turton, head of supply chain at One Stop, said: “Relex’s machine learning-based forecasting is critical to our ability to accurately forecast our most challenging categories, whether short shelf-life items or those with weather-driven demand.”

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