Separate and sequential capture, management, and fulfillment workflows for store-bound and direct-to-consumer orders primarily optimized for delivery cost 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 misaligns inventory with demand.
Goals and Objectives
Fast and efficient capture, management, and fulfillment of all store-bound and direct-to-customer orders in order to optimize profiability, fulfillment cost and capacity, inventory risk, and customer service, from enterprise-wide and supply network inventory sources. Order capture signals multi-tier replenishment and secures capacity for downstream fulfilment 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, block chain
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.