There's rarely one right way to restock a whole inventory. An approach that works well for a steady, regular item might be a poor fit for a seasonal or hard-to-predict one. Most firms end up mixing methods, matched to how each item behaves.

Continuous Replenishment

Stock is checked constantly. A reorder triggers on its own once stock hits the reorder point. This keeps ordering closely tied to real usage. But it needs good, current stock data to work well.

Periodic Replenishment

Instead of constant checking, stock is reviewed on a fixed schedule and topped up to a target level. This is simpler to manage across many SKUs at once. The trade-off: it reacts more slowly to sudden demand shifts.

Top-Off Replenishment

This approach is common in retail and other fast-moving stores. It restocks shelves or bins back to a set level, often daily, no matter how much sold that day. It puts having stock on the shelf ahead of precise reorder math.

Demand-Driven Replenishment

This approach ties restocking closely to real-time demand signals, not a fixed schedule or forecast alone. Order timing and amount adjust as real demand data comes in. It tends to cut excess stock, but needs quicker systems to work well.

Matching Strategy to the Item

High-value, steady-demand items often suit continuous replenishment, where precision pays off. Large numbers of low-value items often do better with periodic or top-off methods, where simple rules matter more. Items with demand that's hard to predict gain the most from demand-driven methods that react quickly to real signals.

Key Takeaways

No single strategy fits every item. Continuous, periodic, top-off, and demand-driven methods each trade speed for ease. Matching strategy to how an item behaves beats using just one method.

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