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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.

Published
June 4, 2026
Read time
3 min read
Source
Manhattan Associates

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.

Key takeaways

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

Market overview

SCR methodology note

Vendor landscape

Leaders

Implementation considerations

Important consideration