OverView
Automated ordering, optimized for best-selling products.
System details
The system learns from store POS data, inventory, weather, and event information to predict next day's demand for each SKU.
The system automatically calculates the order quantity, taking into account lead time, package size, and shelf capacity, and the store manager can only review and approve exceptions on the screen.
assignment
Ordering based primarily on experience can easily lead to fluctuations in demand, resulting in stockouts or excess inventory.
As a result, inventory and ordering formats vary from store to store, making confirmation time-consuming and often leading to freshness losses and overcrowded shelves.
Implementation effects
Automatic calculations reduce stockouts, minimizing lost sales opportunities for best-selling items, while also reducing excess inventory and waste.
Ordering will primarily focus on handling exceptions, reducing the workload for store managers and supervisors.
As a result, inventory turnover increases, improving gross profit and shelf efficiency.
