
AI-Driven Dynamic Order Routing
Tuned by Manhattan’s computational intelligence experts, Enterprise Promise & Fulfill’s AI-driven order routing assesses vast numbers of parameters in real-time across fulfillment locations, transportation options, and customers to determine the optimal fulfillment location for each order that meets the customer order promise (e.g., committed delivery date) at the lowest cost. It matches customer demand with the best available supply at a given point in time, with full appreciation of fulfillment execution constraints and customer preferences in the most optimal way. By adjusting order routing in real time to changing business conditions (e.g., stock levels, shipping rates, warehouse capacity, and more), Enterprise Promise & Fulfill ensures reliable fulfillment against customer order promises while finding ways to lower fulfillment costs.

Real-time Inventory Awareness
Enterprise Promise & Fulfill seamlessly incorporates inventory visibility and availability across warehouses, suppliers, drop-ship partners, and 3PLs to apply the most current view of inventory in order routing optimization. The solution works in tandem with Enterprise Promise & Fulfill’s inventory performance optimization capabilities to dynamically apply inventory allocation rules, ensuring that orders are fulfilled completely and efficiently, even when products are in limited supply. Future inventory is included in optimization, automatically finding a fulfillment solution when a purchase order or advanced shipping notice is delayed.

Cost-Based Optimization
the total fulfillment per order and selects the lowest-cost fulfillment option while maintaining customer order delivery promises and service levels. Shipping costs (carrier rates, zones, fuel charges); handling costs (warehouse, labor, packaging); and tax/tariff considerations (cross-border handling) are evaluated in real time. For example, instead of fulfilling an order from a warehouse with high carrier fees, Enterprise Promise & Fulfill chooses a closer fulfillment center with lower shipping costs, saving 15% per order while ensuring the required delivery timeframe.

Service Level and Preference Evaluation
Enterprise Promise & Fulfill evaluates critical customer details as part of optimized order routing to ensure routing complies with service level agreements and customer preferences. Preferred shipping carriers, delivery schedules, order consolidation requirements, and more are applied to order routing decisions. For example, a customer requires all ordered items in one shipment to reduce warehouse receiving costs. Manhattan Enterprise Promise & Fulfill will hold items from shipping until the entire order is ready.

Multi-Node Fulfillment Orchestration
Enterprise Promise & Fulfill executes order routing through one-to-many fulfillment nodes to complete a whole order. The solution’s orchestration capability routes each order line per the specific requirements of the selected fulfillment node, such as warehouses/distribution centers, suppliers/manufacturers (drop shipping), third-party logistics providers (3PLs), and storefronts (ship-from-store).