19 posts tagged with “inventory-management”

Target’s new supply chain leadership appointment shows why retail logistics is increasingly measured by in-stock reliability, not just warehouse throughput.

Target’s Houston Receive Center shows why retailers are shifting safety stock upstream, using regional inventory buffers to improve flexibility, replenishment timing, and freight control.

Product codes used in inventory management are now execution data, not back-office labels. Clean SKU, GTIN, lot, serial, location, and license-plate data determine whether robotics, IoT, and fulfillment systems can actually deliver accuracy.

Lowe’s expanded Relex deployment shows why retailers are collapsing forecasting, allocation, and replenishment into one operating layer. The goal is not more dashboards. It is fewer stockouts, tighter inventory positions, and faster decisions across the network.

Over half of wholesale distributors are embracing AI-powered demand forecasting in 2026, marking a fundamental shift from reactive to predictive inventory management strategies.

MIT and Mecalux have launched GENESIS, an AI simulator that uses genetic algorithms to optimize inventory distribution across multi-warehouse networks — analyzing thousands of scenarios in minutes instead of days.

US importers front-loaded billions in inventory ahead of tariff deadlines—now Q1 2026 freight demand is distorted and a mid-year demand cliff looms. Here's what shippers need to know.

Inventory data fragmentation costs the global retail industry $1.7 trillion annually. Learn how data unification eliminates false stockouts, reverse logistics gridlock, and the hidden costs of disconnected supply chain systems.

The warehouse drone market is projected to reach $7.2 billion by 2030. Learn how autonomous inventory scanning drones are replacing manual cycle counts with 99% accuracy and 3-5x faster throughput.