Pick path optimisation: the layout change worth 18% of labour

Key Takeaways

• Up to 60% of picking time is spent walking rather than picking, which is why route and layout changes, not faster picking itself, are the highest-leverage lever available.
• Applying pick-path optimisation logic on its own can cut travel by 20% or more, and picking accounts for roughly 55% of total warehouse labour cost, so a meaningful slice of total labour spend sits inside this one process.
• Reported productivity gains span a wide range depending on scope, from roughly 18-30% for pick-path and layout changes alone, up to 50%+ when combined with full warehouse-optimisation software.
• The fix is a sequencing and layout problem, not a staffing or automation one: it's typically the cheapest labour-cost lever available before hiring more pickers or investing in automation.

A picker who walks the full length of the warehouse twice to fill one order isn't slow, they're following a pick list sequenced by order number rather than by physical layout. That distinction, sequencing versus speed, is why pick path optimisation routinely delivers double-digit labour savings without a single additional hire: the fix is in the route, not the person walking it.

Why walking, not picking, is the target

Industry measurement consistently finds that up to 60% of a picker's time is spent walking between locations rather than actually selecting and handling product (Hy-Tek, warehouse pick path optimization guide, retrieved 2026-09-08). Any initiative aimed at picker "speed", faster hands, faster scanning, is optimising the smaller half of the time budget. The larger half, how far a picker travels to complete an order, is a layout and sequencing problem, which is exactly what pick path optimisation addresses directly.

This is also why picking specifically, rather than receiving, putaway, or packing, is the highest-leverage target in most warehouses: the selecting process alone accounts for roughly 55% of total warehouse labour burden (Hy-Tek, retrieved 2026-09-08). A 20% reduction in the largest single labour category moves the total labour number more than an equivalent percentage improvement almost anywhere else in the operation.

What pick-path logic alone delivers

Applying pick-path optimisation logic, sequencing picks by physical proximity within the warehouse rather than by the order the items appear on a pick list, can reduce travel by 20% or more on its own (Lucas Systems, order picking productivity strategies, retrieved 2026-09-08). Separately, more targeted route-and-layout work has been reported to improve pick rates by up to 30% (Optioryx, warehouse picking performance guide, retrieved 2026-09-08). An 18% improvement, the figure this article's title anchors on, sits comfortably inside that reported range for layout and pick-path changes implemented on their own, without additional software or automation investment layered on top.

The wider range in reported figures, from high teens up to 50% or more, reflects scope: pick-path sequencing alone sits at the lower end, while combining it with warehouse-management software, batch or cluster picking, and slotting optimisation (placing fast-moving SKUs closer to the pack-out area) pushes toward the higher end (Lucas Systems, dynamic warehouse optimization, retrieved 2026-09-08). Treat the specific percentage as a function of how much of the full toolkit is implemented, not a single fixed number every warehouse should expect.

The layout change behind the number

Pick path optimisation isn't purely a software or algorithm change, it depends on the physical layout supporting an efficient route in the first place. Placing high-frequency SKUs near the start of the typical route, and grouping items commonly ordered together physically close to one another, reduces the total distance a pick-path algorithm has to route through even before any software is involved. A warehouse with high-velocity items scattered across the far corners of the facility limits how much a pure routing change can achieve, since the algorithm can only optimise the path through the layout it's given, not redesign the layout itself.

This is why the highest-leverage projects typically pair a layout review, re-slotting based on pick frequency, with the path-sequencing logic itself, rather than treating either as sufficient alone. Model the current pick frequency and travel distance for your SKU set against a re-slotted layout using the warehouse space calculator before committing to a full re-slotting project, since the labour saving needs to outweigh the one-off cost of physically relocating stock.

Why this is usually the first lever, not the last

Compared to the alternatives, hiring additional pickers, extending shift length, or investing in pick-to-light or robotic automation, pick path and layout optimisation requires no additional headcount and comparatively modest capital, mostly staff time for the re-slotting exercise itself and any pick-list software configuration. That makes it the natural first move before evaluating higher-cost options: a warehouse that hasn't optimised its pick path is, in effect, considering automation to fix a problem a route change might substantially solve on its own. Work the re-slotting and pick-sequencing changes through the operations setup review before looking at headcount or automation spend, since it's the cheaper lever to pull first.

Frequently asked questions

Is an 18% labour saving from pick path optimisation realistic?

Yes, it sits within the commonly reported range (roughly 20% travel reduction, up to 30% pick-rate improvement) for layout and routing changes implemented without additional software or automation. Results vary by warehouse layout and current pick-list sequencing method, so treat it as a plausible target, not a guarantee.

Do I need warehouse management software to get this benefit?

Not necessarily for the initial gain. Pick path logic and layout re-slotting can be implemented manually or with modest software changes to pick-list sequencing. Full warehouse-optimisation software typically pushes the improvement toward the higher end of the reported range, but isn't required to capture the first tranche of savings.

What's the difference between pick path optimisation and slotting optimisation?

Pick path optimisation sequences the route through the existing layout; slotting optimisation changes where items are physically stored, typically placing high-frequency items closer to the pack-out area. They're complementary: the best pick-path algorithm still has to route through whatever layout it's given, so slotting changes expand what routing alone can achieve.

The bottom line

Picking is the single largest labour category in most warehouses, and most of the time inside it is walking, not handling product. Pick path optimisation, especially paired with a layout re-slot, is a route and sequencing fix rather than a hiring or automation decision, which is exactly what makes an 18% (or higher) labour saving achievable without adding headcount.

Figures were verified on 8 September 2026 against published warehouse operations and picking productivity research. Actual results depend on current layout, order profile and pick-list method; benchmark your own baseline pick times before committing capital to a re-slotting project.