Detecting demand shifts early on at the SKU level to proactively manage supply chain disruptions
Minimizing manual work by implementing automated diagnostics and parameter updates to manage by exception
Supply chain disruptions and uncertainty limited central planning resources during the pandemic
Changing COVID-19 measures caused shifts in open hours effected shopper behavior and demand patterns
Demand peaks for certain items increased the risk of stock-outs and brought the need to take proactive actions with suppliers
Fast adjustment to demand changes, adapting safety stocks across 50 DCs, and increasing safety stocks in the stores in a controlled manner
Automated detection of consumption, replenishment, and purchasing in the face of changing stock needs of stores and
e-commerce sales
COVID Agility: 6 weeks across April & May, sales went up by 50%, while stock-outs increased only by 3% (due to supply issues) thanks to early detection of high selling SKUs and automated adjustment of safety stocks
