Manhattan Active Order Management
Key Info:
Manhattan Active Order Management is a cloud-native retail order management system for inventory visibility, order promising, orchestration, fulfillment and post-purchase service across channels.
Details
Order management scope
Manhattan Active Order Management coordinates inventory, customer promises and fulfillment decisions for omnichannel retail operations. Current official material describes a cloud-native, microservices-based application that connects order capture, inventory availability, fulfillment sources and customer service. Buyers should distinguish this order-management scope from warehouse, point-of-sale and commerce-front-end projects, then define the transactions and service outcomes the OMS must control.
Evaluation scenario
Build a controlled test with an online order, a store pickup, a split shipment and an item that becomes unavailable after checkout. Confirm the promise shown to the customer, the sourcing decision, reservations, status changes and notifications. Then cancel one line, change the delivery method and return an item. Every action should remain traceable across service and fulfillment views without manual reconciliation between channels.
Promising and orchestration
Test available-to-promise calculations with safety stock, lead times, capacity and several fulfillment locations. Compare cost, speed and service rules, then introduce a late inventory update and a closed location. Review whether the system selects a defensible alternative and explains the affected order. Business users should be able to maintain ordinary orchestration rules through governed controls rather than undocumented technical workarounds.
Fulfillment and service
Evaluate store and distribution-center workflows for picking, packing, shipment, pickup and exception handling. Service users should see a consistent order history and the actions they are allowed to perform, including cancellation, appeasement or rescheduling where configured. Test partial fulfillment and failed payment or carrier events to confirm that queues, alerts and ownership remain clear.
Integration and administration
Map commerce, payment, inventory, warehouse, carrier and customer-service integrations. Replay duplicate events, delayed updates and an interrupted interface. Administrators should identify the source, affected orders and recovery action without changing data directly. Review identity, role separation, audit history and retention for both operational users and rule administrators.
Implementation checkpoint
Begin with a bounded order journey and a known inventory set. Measure promise accuracy, cancellation rate, split shipments, fulfillment cost, exception age and service handling time before expanding channels or locations. Release more scope only after operators can reproduce decisions, recover integration failures and show that the OMS improves customer commitments without hiding operational constraints.