
Manhattan Active Supply Chain Planning: Unified Forecasting, Replenishment and Allocation
Overview of Manhattan Active SCP, a cloud-native platform that unifies demand forecasting, replenishment and allocation for retailers and wholesalers.
Manhattan Active Supply Chain Planning integrates AI-driven demand forecasting, exception-based replenishment and adaptive allocation within a single microservices platform. It replaces nightly batch processing with real-time data synthesis and continuous optimization across inventory, transportation and labor. The solution supports omnichannel fulfillment, short-lifecycle inventory and scalable growth without major system upgrades.
Unifies demand forecasting, replenishment and allocation in one cloud-native application
Uses machine learning to combine internal data with external trends for real-time planning
Eliminates nightly batch cycles through continuous data processing and automated exception handling
Optimizes inventory allocation across stores and channels to reduce stockouts and markdowns
Scales automatically and receives new capabilities every 90 days without upgrades