
Key features include real-time inventory tracking, POS and e-commerce integrations, barcode scanning, multi-location support, automated reordering, inventory optimization, reporting dashboards, and scalability as the retail network grows. Underneath those features, the decision logic matters most: how the tool sizes safety stock, handles lead time variability and adapts to demand changes across stores. AI-driven, probabilistic planning consistently outperforms static reorder rules in retail environments, where demand patterns shift quickly with promotions, weather and local effects. The best solutions also expose clear KPIs, service level, stock cover, lost sales, so planners can see where attention is needed rather than reacting after the fact.