Separate and sequential capture and management of workflows for digital orders are primarily optimized from enterprise points of supply governed by rules-based systems, but that doesn’t necessarily support the unique needs and desires of the customer.
Goals and Objectives
Fast and efficient capture and management of all store-bound and direct-to-customer orders optimize customer satisfaction and customer service from enterprise-wide and supply network inventory sources. Order capture signals multitier replenishment and secures capacity for downstream fulfillment activities. Orchestration of custom or build-to-order fulfillment envelops design, buy, and make workflows.
Cloud, industry cloud, IoT, prescriptive trade-off analytics, artificial intelligence, machine learning, and blockchain
Use Case Summary
Real-time, context-aware analytics and curated network data are used to anticipate and balance inventory and capacity order fulfillment to meet customer expectations.