demand-planning
(3)
DeepVu
DeepVu (legal entity Vufind Inc.) is a San Ramon, California startup building AI planning agents for supply chain teams. Its platform pairs a supply-chain knowledge graph (VuGraph) enriched with macroeconomic and trade signals, a digital-twin simulator (VuSim), and reinforcement-learning decision agents (VuDecide) to make demand planning, inventory, procurement, production and logistics decisions more resilient to shocks - while trimming cost and carbon. Founded in 2016 by Moataz Rashad and Prof. Walid Aref, the company pivoted from computer-vision roots to focus on autonomous, shock-resilient supply chain planning for manufacturers and retailers.
Alloy.ai
Alloy.ai is a San Francisco-based software company that gives consumer goods brands a real-time, end-to-end view of demand and inventory across every retail and e-commerce channel. Its platform automatically ingests and harmonizes point-of-sale, inventory, and ERP data from hundreds of trading partners, then layers analytics, forecasting, and AI agents on top so brands can sense demand shifts, catch stockouts and phantom inventory, and respond in seconds rather than days. Customers like Crayola, BIC, Valvoline, Melissa & Doug, and Anker use it to cut out-of-stocks and protect revenue with their retail partners.
DARVIS
DARVIS is a health-tech company that uses AI-powered computer vision to give hospitals real-time visibility into their supply rooms. Its flagship product, Digital Shelves, uses smart PTZ cameras to continuously monitor inventory fill-levels and scan barcodes automatically, replacing manual counting with live consumption data, predictive demand planning, and automated reordering. Born in the gaming industry in 2015, the company pivoted to healthcare supply chain and now serves systems such as MD Anderson Cancer Center while operating from Cambridge, Massachusetts, with a hub in Hamburg, Germany, and a presence in Houston, Texas.