Traditional Vendor-Managed Inventory (VMI) processes have been manually intensive, with VMI ‘planners’ tasked with identifying current inventory levels at customer sites, overlaid with the best available demand plans to develop an appropriate fulfillment schedule. The manual nature of this process makes it quite cumbersome and often imprecise – leading many to abandon the effort.
Goals and Objectives
Digital Ecosystem VMI is envisioned as a next-generation form of VMI where modern visibility and AI driven decision-making replaces the old, manual process. VMI removes unnecessary limitations and flaws, driving up value and drives down administrative cost.
Enterprise Hardware, Personal devices, Cloud, Big data/analytics, Mobile, Applications, Connectivity Services, Cognitive
Use Case Summary
This use case means dynamic visibility into inventory consumption and capacity utilization at customer/replenishment sites with automated reordering and fulfillment based on the most recent iteration of consumer demand. This means a more efficient VMI process, with more accurate and timely replenishment shipments to ensure higher levels of in-stock and optimal levels of inventory.