Warehouse Picking Optimisation: Faster Fulfilment Guide

Picking — the process of retrieving items from warehouse shelves to fulfil orders — accounts for 50 to 60 percent of total warehouse labour cost. For Singapore SMEs running e-commerce, wholesale, or distribution operations, even small improvements in picking efficiency translate directly to faster delivery, lower costs, and happier customers. The best part: you do not need robotic automation or a warehouse management system overhaul to see significant gains.

Why Is Picking the Biggest Opportunity in Your Warehouse?

Most warehouse inefficiency hides in picking because it involves the most walking, the most decision-making, and the most potential for error. A picker in an unoptimised warehouse walks an average of 10 to 15 kilometres per shift — much of it retracing steps because items are poorly located or pick lists are sequenced randomly. Errors (wrong item, wrong quantity) cost even more: each mispick requires a return, a re-pick, and often a customer apology.

Optimisation targets three levers: reducing travel distance, improving pick accuracy, and increasing picks per hour. Together, these can improve throughput by 25 to 40 percent without adding headcount or hardware.

What Picking Strategies Work for SME Warehouses?

Large warehouses use zone picking and wave planning, but SMEs need simpler approaches that work with smaller teams:

• ABC slotting — place your fastest-moving items (A items) closest to the packing station. Analyse your order data to identify the 20 percent of SKUs that account for 80 percent of picks, and position them at waist height in the most accessible locations.
• Batch picking — instead of picking one order at a time, group 5 to 10 orders and pick all items in a single pass through the warehouse. This dramatically reduces walking distance.
• Pick-path sequencing — sort the pick list so items are retrieved in a logical physical sequence (aisle by aisle, left to right) rather than in order-entry sequence. Even a simple spreadsheet sort can achieve this.
• Barcode verification — a handheld scanner that confirms the correct item was picked eliminates most mispick errors. Smartphone-based scanning apps are available for under SGD 50 per month.

How Do You Implement These Changes Step by Step?

Start with data. Export your last 90 days of order data and run a frequency analysis on each SKU. Rank them by pick frequency and reslot your warehouse accordingly — this alone can reduce travel distance by 20 percent. Next, switch from single-order to batch picking for all orders under a size threshold (e.g., five items or fewer). Finally, implement barcode scanning, starting with your highest-error product categories.

Measure before and after: picks per hour, mispick rate, and average order-fulfilment time. Review weekly for the first month to fine-tune slotting and batch sizes.

Frequently Asked Questions

Do I need a warehouse management system (WMS) to optimise picking?

Not necessarily. A WMS helps at scale, but SMEs with fewer than 500 SKUs can achieve significant improvements with spreadsheet-based slotting analysis, batch-picking workflows, and smartphone barcode scanning. Graduate to a WMS when your order volume or SKU count outgrows manual methods.

How do I handle picking for multi-item orders?

For orders with many items, use a pick cart with labelled compartments — one per order. The picker walks a single optimised route, placing each item in the correct compartment. This combines batch picking with order-level accuracy.

What is a realistic mispick rate to target?

Best-in-class warehouses achieve mispick rates below 0.1 percent (1 error per 1,000 picks). SMEs should target below 0.5 percent initially and drive toward 0.2 percent with barcode scanning and process discipline.