How Inventory Optimization Can Lower Storage Costs

Inventory optimization can lower storage costs by reducing avoidable stock and the space or handling it requires. Compare replenishment policies using demand, lead time, pack sizes and service requirements before assuming a smaller order will save money.

Start with a constraint you can measure: occupied pallet positions, overflow storage charges, repeated handling or inventory ageing. A lower stock value is useful, but it does not explain which warehouse expense will change.

Compare two order quantities

This illustrative example assumes stable use of 100 units a day, replenishment that arrives as one complete batch, no stockouts and a constant 20-unit buffer. Each pallet position holds 100 units. The calculation excludes variability, delivery lead-time stock and unusual stacking restrictions.

Smaller batches reduce the peak from eleven to six pallet positions under these assumptions. Orders arrive twice as often. That can change freight charges, receiving workload, inspections and supplier administration. The table is a capacity calculation, not proof that the second policy has the lowest total cost.

Identify the expense that would fall

If you pay for overflow storage by occupied position, releasing five peak positions may affect the bill. If you lease the same warehouse regardless of occupancy, rent may remain unchanged. The benefit might instead be room for another product or less congestion around receiving.

Review the carrying-cost worksheet to separate capital, space, handling and risk costs. Do not claim the full carrying-cost percentage as a rent saving. Keep avoided future expenditure separate from a reduction in an existing invoice.

Check the constraints before reducing the batch

• Supplier terms: minimum order quantity, pack multiple, delivery frequency and price breaks.
• Lead time: actual arrival variability, inspection time and the ability to recover from a late shipment.
• Consumption: planned jobs, seasonal demand, setup batches and customer-specific components.
• Physical storage: stackability, segregated lots, temperature or other approved storage requirements.
• Workload: receiving, inspection, put-away and the extra movements created by frequent deliveries.

A smaller nominal batch can still require more space if each lot must occupy its own location or if a supplier sends several scheduled batches together. Measure actual receipts and peak occupancy rather than relying only on the order quantity field.

Run a controlled item-family review

Choose a repeat-use item family. Record demand, current stock, outstanding supply, ageing, peak positions, delivery frequency and shortage incidents. Agree the proposed order size and minimum buffer with production and purchasing. Compare the next complete replenishment cycles with the original policy, retaining service failures as well as improvements.

Optiwise connects min/max stock levels, reorder indents, store movements and ageing with production and purchasing. Smart Suggest considers stock, existing production and open purchase orders before proposing the remaining material actions. Use those records to avoid ordering against a shortage that is already covered by relevant supply.

For the general replenishment mechanisms behind such a review, Odoo's inventory overview describes min/max replenishment and purchase planning. Our replenishment guide provides a separate checked example for choosing a trigger and quantity.

Questions from manufacturing teams

Does lower average stock always reduce storage rent?

No. Rent changes only when your charging arrangement or leased space changes. Record capacity released separately from cash saved.

Should every item use smaller orders?

No. Compare pack sizes, supplier terms, delivery reliability, receiving effort and shortage consequences for the item family.

What should a storage-cost pilot measure?

Record peak occupancy, average stock, receipts, handling effort, relevant charges and material shortages over complete replenishment cycles.

Review a stock and replenishment workflow in Optiwise using your current order quantity and storage constraint.