Separate and sequential capture, management, and fulfillment workflows for store-bound and direct-to-consumer orders primarily optimized for profitability from enterprise points of supply unconstrained by store-labor capacity governed by rules-based systems operating on latent inventory and shipment status data; logistics fulfillment capacity assigned after order capture; sequential single-tier replenishment planning to misalign inventory with demand.
Goals and Objectives
Fast and efficient capture, management, and fulfillment of all store-bound and direct-to-customer orders to optimize fulfillment cost and capacity, inventory risk, and customer service from enterprisewide and supply network inventory sources. Order capture signals multi-tier replenishment and secures capacity for downstream fulfillment activities. Orchestration of custom or build-to- order fulfillment encompasses design, buy, and make workflows.
Cloud, industry cloud, IoT, prescriptive trade- off analytics, artificial intelligence, machine learning, and blockchain
Use Case Summary
Use real-time, context-aware analytics and curated network data to anticipate and balance direct-to- customer and store-bound order fulfillment to meet customer service level at lower total cost to serve.