AI-Driven Efficiency: How Target’s Data Science Models Optimize Demand and Inventory for 2,000 Stores

Artificial intelligence (AI) and deep learning are revolutionizing how Target optimizes supply chain management across its network of 2,000 stores. By accurately estimating unconstrained demand, these advanced models seamlessly integrate with its replenishment and purchasing systems, leveraging sophisticated algorithms to make optimal decisions under uncertainty. Tackling complex, multi-echelon inventory challenges, Target now manages millions of item-location combinations daily with precision

The post AI-Driven Efficiency: How Target’s Data Science Models Optimize Demand and Inventory for 2,000 Stores appeared first on Express Computer.

from Tech News India: Latest Gadgets & Technology News Today https://ift.tt/EK9tceh