Inventory Management Resources

Inventory management looks like a math problem until you actually run one. On paper, it's forecasting, safety stock, reorder points, and allocation logic. In practice, it's a coordination problem that spans functions that rarely talk to each other on a daily basis: demand planning, merchandising, distribution, transportation, and the store or warehouse floor executing against whatever plan landed on them last. Each of those groups optimizes its own piece. None of them owns the gap between plan and reality, and that gap is where inventory value quietly disappears — as overstock tying up cash, as stockouts walking customers to a competitor, as safety stock padding that covers for bad visibility instead of real variability.

The technical side of inventory management has gotten a lot of attention: better forecasting models, more granular SKU-location planning, real-time signals from POS and IoT. That's necessary but not sufficient. The harder problem is operational — getting the right decision made and acted on across teams before the window to act closes, and knowing when a forecast or a reorder recommendation needs a human to check it against context the model doesn't have.

This hub collects our thinking on both sides of that problem: the forecasting and planning mechanics, and the cross-functional execution that determines whether good numbers turn into good outcomes. The articles below cover demand forecasting, safety stock strategy