How Warehouse Managers Can Optimize Units per Order To Cut Picking And Packing Costs

Units per Order The average number of product units contained in each customer order. For warehouse managers this metric is a direct lever for reducing pick labor, improving packing efficiency, and cutting transportation expenses because it quantifies the physical complexity of orders.

Optimizing operations around units-per-order requires translating a numeric average into concrete layout, staffing, and technology choices. Small changes—slotting frequently co-ordered SKUs nearby or offering pre-bundled assortments—can shift units-per-order distributions and lower cost per order substantially.

Operational Strategies That Reduce Cost Per Order

Warehouse-level tactics focus on reducing picks-per-order, shortening pack times, or both:

• Slotting Optimization: Place items frequently ordered together in adjacent pick faces or in the same pick zone.
• Batch Picking: Group multiple orders for pickers to collect similar SKUs in one pass—especially effective with higher units-per-order and repeat SKUs across orders.
• Prepack/Assortment Packs: Create standard multi-unit kits that reduce individual picks during peak windows.

Technology And Layout Choices

Investments should match the predictable complexity implied by units-per-order:

• WMS Rules: Configure the WMS to recommend batch sizes and picking sequences based on real-time units-per-order patterns.
• Zone And Wave Picking: Implement zone picking with consolidation for multi-item orders to reduce travel time per pick.
• Automated Packing: Use automated sortation or multi-item packing robots where the volume and units-per-order profile justify capital expense.

Packaging And Cost Mitigation

Units-per-order informs packaging procurement and cartonization rules:

• Right-Sizing: Set cartonization rules in the WMS/ERP using historical units-per-order distributions to minimize void fill and dimensional weight penalties.
• Pre-built Kits: Reduce variable packaging time by shipping pre-built bundles for SKUs often bought together.
• Insert And Cushioning Standards: Adjust standards based on typical unit counts and fragility to reduce overpacking.

Staffing And Throughput Calculations

Translate units-per-order into staffing plans: measure picks-per-hour per picker and pack time per unit, then model orders-per-hour. For example, if pickers average 200 picks per hour and units-per-order is 4, one picker’s work supports about 50 orders per hour (200 ÷ 4). Use that to build shift templates, temporary labor forecasts, and SLA guarantees.

When To Change Units-per-Order Strategically

Sometimes managers want to increase units-per-order (to boost AOV or reduce packaging frequency), other times to reduce it (to simplify packing):

• Increase Units-per-Order: Use bundling discounts, free-shipping thresholds, or cross-sell prompts to raise units-per-order and AOV.
• Decrease Units-per-Order: Offer digital gift cards or higher-priced single-SKU options that reduce multi-item picks when those picks drive disproportionate cost.

Monitoring And Continuous Improvement

Track units-per-order in daily operations dashboards and examine the distribution (not just the mean). Look for changes during promotions and seasonal peaks and correlate them with pick accuracy, returns rate, and pack station utilization. Run A/B tests for bundling offers and slotting adjustments and measure labor minutes per order before scaling changes.

In short, the Units per Order metric gives warehouse managers a practical, physical measure for planning labor, layout, and packaging. Acting on its signals—through slotting, batching, bundling, and proper WMS rules—turns a simple average into predictable cost savings and improved throughput.