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How to Improve Order-Picking Efficiency by Rebuilding the Pick Face

Walking is the largest consumer of a picker’s shift, and it responds to layout rather than to effort. Storeganizer concentrates up to 396 pick locations into a single rack bay — measured at 42% less travel time and 26% better picking efficiency against conventional rack and shelf.

High-density Storeganizer pick faces filling a run of pallet rack bays

Picking productivity is a layout problem before it is a labour problem

Order picker selecting parts from Storeganizer pocket columns with a picking cart

When lines per hour are disappointing, the first instinct is usually to look at people: more training, better incentives, tighter supervision. It rarely moves the number much, because the largest single consumer of a picker’s shift is not effort — it is walking. If the SKUs on a typical order are spread across 400 feet of half-empty shelving, no amount of motivation compresses that distance.

The fix is to bring the SKUs closer together. That is precisely what a Storeganizer pick face does: vertical columns of right-sized textile pockets, hung in existing pallet rack up to four rows deep, concentrating between 28 and 396 discrete pick locations into a single bay. Independent research at the University of Leuven measured a 42% reduction in travel time and a 26% gain in picking efficiency compared with conventional rack and shelf.

The five levers that actually move lines per hour

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Density in the pick face

More SKUs per linear foot of aisle is the mechanical lever. One distribution centre measured 40% more SKUs hit per unit of travel distance after converting to pocket columns.

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Golden-zone slotting

The fast movers belong between mid-thigh and shoulder height. Most operations have never formally slotted by velocity, and it is the cheapest improvement available.

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Unambiguous locations

One SKU per labelled, barcoded location. Ambiguity costs twice: the hesitation while picking and the error when the hesitation goes the wrong way.

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Ergonomics

Bending, reaching and climbing are slow as well as unsafe. Configurations that keep heavy and fast SKUs at working height show up in the hourly rate, not just the safety log.

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Replenishment separation

Pickers should not wait on replenishment, and replenishers should not block the face. Pocket bays are easy to replenish from the aisle side without stopping the pick.

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Measurement

Lines per hour by zone, before and after, on the same order profile. Without it you cannot tell whether a change helped.

Diagram comparing a long picking route across eight shelving bays with a short route across two Storeganizer bays
The same SKUs spread across eight shelving bays, versus concentrated into two bays of pocket columns.

Reported before-and-after figures

Operation Before After
Luxury-goods distribution centre, Dubai region 25-30 lines picked per hour from static shelving 60-80 lines per hour; overall operational efficiency up about 30%; two fewer full-time staff needed
Technology distributor, UK national DC Baseline of about 75 lines per hour in the converted zone About 90 lines per hour and rising; roughly 10 seconds faster per pick; 40% more SKUs hit per unit of travel
Independent University of Leuven research Conventional rack and shelf 42% less travel time, 26% better picking efficiency, 40% more usable space

Figures as reported by the named operations and the cited research. Your result depends on how inefficient the current pick face is and how well the new one is slotted.

See how dense your pick face could be

Enter your bay height and pocket size in the free Storeganizer Designer and it returns pick locations per bay and for the whole project, plus a bill of materials.

Open the Storeganizer Designer All free design tools

Other ways we improve picking

A dense pocket face is one tool. Depending on your order profile we may recommend some of these instead of, or alongside, it:

Slotting a pocket bay so the density actually pays

A dense pick face that is badly slotted is just a compact version of the same problem. Nearly all of the productivity gain reported by Storeganizer users comes from what goes where, not from the pockets themselves — so this is where we spend the design time.

Height bands

Treat the bay as three bands. The middle band, roughly between mid-thigh and shoulder height, is the golden zone: it needs no bending, no reaching and no ladder, and it should hold the SKUs that generate the most picks per day. The band below it takes the medium movers and anything heavy enough that you would rather lift it from low than from high. The top band takes the dormant tail — the parts picked a few times a year, where a step stool once a month costs nothing.

Do this once, using real pick history rather than intuition, and revisit it after three months. Velocity in most operations is far more concentrated than people expect: it is common for 15-20% of SKUs to generate 80% of the lines. Those SKUs are the only ones that really need the golden zone.

Rows deep

Pockets can hang up to four rows deep, and the front columns roll sideways by hand to expose the rows behind. Maximum density means four rows, but every roll-aside is a small movement cost. For the fastest-moving SKUs we usually specify two or three rows and take the density hit; for the dormant tail, four rows is free performance.

Labels, barcodes and the location scheme

Every pocket carries a label or barcode holder on its face. Decide the scheme before installation, not after: aisle, bay, column, row and pocket position, in the same format your WMS, ERP or CMMS already uses. Scan-verifying picks is what turns one-SKU-per-pocket from a tidiness improvement into a measurable accuracy improvement, and retro-fitting a location scheme onto a stocked face is a job nobody enjoys twice.

Replenishment

Pockets hold less per location than a shelf level, which is the trade-off for having far more locations. In practice that means replenishment frequency rises for the fastest SKUs. Two things keep it under control: put the highest-volume items in larger pockets rather than in the smallest ones that will physically hold them, and use in-pocket dividers only where two genuinely slow SKUs can share. If a SKU needs replenishing more than once a shift, it probably belongs on carton flow instead.

Frequently asked questions

What actually limits order-picking efficiency?
In manual picking operations, travel. Study after study puts walking at roughly half of a picker’s time, and it is the component that responds to layout rather than to effort or incentives. Density in the pick face is therefore the lever with the largest mechanical effect: more SKUs within reach means fewer steps per line.
How much improvement is realistic?
Independent research at the University of Leuven measured a 26% average gain in order-picking efficiency and a 42% reduction in travel time versus conventional rack and shelf. Individual operations have reported more — from 25-30 up to 60-80 lines per hour in one luxury-goods distribution centre, and from about 75 to about 90 lines per hour in a technology distributor’s national DC.
Do I need a WMS to get the benefit?
No. Density and slotting deliver most of the gain on their own. A WMS or barcode scanning multiplies it, because scan-verified picking from one-SKU-per-pocket locations is what converts density into accuracy as well as speed.
Is automation a better answer?
Sometimes — if you need throughput, tight access control or goods-to-person for ergonomic reasons. But automation is capital, power, service contracts and integration, and several operations that evaluated carousels and paternosters concluded a dense passive pick face gave them most of the benefit at a fraction of the cost. Densify first, then decide what still needs automating.
What about pick errors?
Errors mostly come from ambiguous locations — two similar parts sharing one shelf and one label. One SKU per labelled, barcoded pocket removes that failure mode, and every operation we have worked with reported fewer mis-picks after the change.

Related Storeganizer reading

How to measure the gain in your own operation

Picking improvements are easy to claim and awkward to prove, because most warehouses do not have a clean baseline. Four measurements taken before a conversion make the after-figure defensible — and all four can be gathered in a week without new software.

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Order lines per man-hour

The headline productivity number. Take it for the zone you intend to convert, not for the building, or the improvement will be diluted by picking that never changed.

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Travel time share

Time a handful of typical orders and split the clock between walking and picking. In most small-parts zones walking is the majority of the shift, which is why layout beats effort.

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Locations per bay

Count the discrete pick addresses in a representative bay. This is the number that changes most dramatically, and it drives the other three.

Mispick rate

Look-alike parts sharing a bin are a leading cause. Discrete addressing tends to move this number even when productivity is the stated goal.

What to expect, and what not to

Independent research at the University of Leuven, Belgium (2013) measured a 42% reduction in travel time and a 26% gain in order-picking efficiency against conventional rack and shelf. Those are averages across installations. Operations with a long tail of small, slow-moving SKUs stored in locations far larger than the parts tend to exceed them; operations already picking densely from well-slotted bin shelving see less.

The variable that predicts the outcome is not the system — it is how badly your current locations are sized for the items in them. That is a slotting question, and it is worth answering before a purchase decision. The slotting optimization guide covers how to profile a SKU base, and the case studies show what specific operations measured after converting.

Measure your pick face, then fix it

Tell us your current lines per hour and the size of your small-item area. We will estimate the density you could reach and what it would take to get there.

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