IBM Sterling Order Management

IBM Sterling Order Management provides order orchestration through a centralized inventory, order promising and fulfillment hub to support omni-channel fulfillment. It helps enterprises increase fill rates and inventory turns, reduce markdowns, improve customer loyalty and increase share of wallet. The Sterling Order Management system enables users to make better decisions about how to promise and fulfill customer orders, resulting in improved profitability and customer satisfaction.A single view of supply and demand across channels enables visibility into multiple internal and external inventory locations to provide an accurate promise date to the customer and, if needed, to schedule alternative fulfillment locations.Also, it combines multichannel order aggregation, global inventory visibility and service availability to support the entire order promise, including available-to-promise, available-to-deliver and available-to-service functions. Coordinated, customized fulfillment execution provides flexible business process definitions and adaptable fulfillment models to allow customers to begin an order through any channel (online, call center, store), complete it through any channel and take delivery virtually anywhere. Delivers flexible order process modeling and role-based relationships among multiple supply chain participants to control information flows, including orders, modifications, status updates, alerts, inventory availability and exceptions. One source of order information provides customers with accurate and timely alerts and updates. In addition, aggregates orders from multiple order capture channels (online, call center, store) and provides a single source of order status information across these channels. Feature Integrated order fulfillment processes across all selling channels integrates with IBM WebSphere Commerce to provide a thorough cross-channel buying experience, from initial browsing through order fulfillment. Also, arms store associates with a cross-channel view of past customer interactions to personalize the in-store shopping experience.