In the retail world, companies face constant challenges in managing sell-in (sales to distributors) and sell-out (sales to end consumers). In this context, a company operating in the sector needs to improve the accuracy of sales forecasts, in order to optimise stock management and the effectiveness of product distribution to points of sale.
To address this need, at Moxoff we have implemented a platform based on a demand prediction and stock management algorithm, thanks to the integration of sell-in and sell-out data. By using Artificial Intelligence tools, the solution provides accurate sales forecasts at both distributor and consumer levels. Through constant sales monitoring, automatic adjustment of supplies to distributors is possible, optimising the flow of goods to prevent both stock-outs and excess inventory. Finally, the implemented solution also offers a real-time monitoring dashboard, enabling dynamic and strategic stock management.
Benefits
