Our client is Asia’s leading commercial distribution group, No. 1 in China’s top 100 retail companies, its main business covers themed department stores, shopping centers, outlets, large-scale stores, standard supermarkets, convenience stores, specialty stores and other retail formats. They faced with the problem of high inventory costs and time-consuming replenishment work.
Smart inventory system helps customers reduce inventory turnover days.
THE CHALLENGGE: HIGH INVENTORY COSTS AND TIME-CONSUMING REPLENISHMENT WORK
The pilot store’s inventory amounted to 1.1 billion yuan, the turnover days were 36.6 days, and the unsalable inventory accounted for 4%;
The replenishment method of some products in the store and all the products in the warehouse is manual replenishment. The replenishment decision depends on personal ability, and it takes an average of 2 hours a day to deliver the goods.
The system make accurate prediction based on LBS and consumer characteristics, such as business district traffic data and consumer purchasing power,
The system also conduct daily simulation solution, and rolling solution based on a big data computing platform, including massive purchase, sales and inventory history.
Decline in overall inventory turnover days