Predictive Logistics: How Connected Data and AI Drive Dynamic Inventory Balancing
· Source: iotforall.com
In short
This article explores how enterprise distributors operating multi-location networks can overcome 'phantom stockouts' by shifting from static, historical forecasting toward dynamic inventory balancing powered by AI and connected data streams. It details a four-layer data pipeline—ingestion, normalization, internal data fusion, and serving—combined with an ensemble forecasting layer and a constrained optimization decision engine to automate inter-branch transfers. The piece highlights measurable enterprise ROI benefits including capital efficiency, optimized asset utilization, and elevated fill rates.
Read Original Article — Read the full article on the publisher’s site.
In the issue of week 34, 2026: AI-Driven Execution Surges: Orchestration and Real-Time Control Transform Supply Chains
Tags: predictive logistics, dynamic inventory, forecasting, inventory optimization, supply chain, automation