Warehouse Layout For Quick Commerce
Pick zones, replenishment paths, and aisle spacing set by order density — how quick-commerce layouts differ from conventional warehouse design.
Conventional warehouse layout optimises for the cost of holding a unit. Quick commerce optimises for the minutes between an order landing and a rider leaving. Those goals pull the floor plan in different directions often enough that borrowing a conventional layout is the most common design error we see on survey.
The difference is not subtle. In a distribution centre, a picker walking an extra ten metres is an inefficiency. In a dark store, it is the product.
The organising principle: velocity, not category
Most layouts are organised by category, because categories are how humans think about stock and how replenishment arrives. Categories are convenient. They are also, on their own, a poor basis for a picking layout.
A small share of your lines will account for a large share of your picks. Those lines — whatever category they belong to — should be closest to the packing bench and at the heights a picker reaches fastest. Everything else earns its distance.
The workable compromise, and what we usually end up drawing, is category blocks positioned by aggregate velocity, with fast lines inside each block placed in the reachable band. Staff keep the mental model that lets them learn the store, and the fast movers still sit close.
What makes this hard is that velocity is not static. The ranking that is true at opening will not be true in six months. Which means the layout has to be something your team can change — a point that ends up governing the racking specification as much as the drawing.
Build the pick path before the storage
A useful discipline: draw the path a picker walks for a typical multi-line order before deciding where anything is stored.
Most orders are a handful of lines. If those lines are scattered across the store, the picker walks the building. If they cluster, the picker walks a short loop. Which of those you get is decided by whether commonly co-ordered lines sit near each other — and that is a question about your order data, not about your categories.
Look at what actually gets bought together and let it inform adjacency. Staples that appear in a large share of baskets should sit on the main path, not in a corner that is efficient for storage and expensive for picking.
Separating replenishment from picking
This is the constraint that gets designed last and hurts most.
The fast zone empties fastest. That means it needs replenishing during your busiest hours. Which means the replenishment path crosses the picking path exactly when both are under maximum load — and if they share an aisle, everything stops while a pallet truck is in it.
Layouts that hold up under peak share a trait: replenishment reaches the back of the fast zone without traversing the picking face. Sometimes that means a rear access aisle. Sometimes it means the fast zone backs onto the goods-in area so restocking happens from behind. Sometimes it simply means one aisle is wide enough to be worked from both sides at once.
All of these cost density. They are worth it. A layout that stalls at peak has an expensive failure mode that no amount of staffing fixes, because the constraint is physical.
Aisle spacing follows order density
Aisle width should be derived, not chosen from a table.
The inputs are the number of pickers on the floor at peak, the width of the trolley, whether two pickers must pass, and whether mechanical handling enters the aisle during trading. Run those together and you get a minimum width. Anything narrower buys density you will pay for in queueing.
The honest test is what happens at peak, not on an average afternoon. Many sites plan for overnight replenishment and then, under volume pressure, replenish continuously. If that is a plausible future — and it usually is — specify for it now, because aisle width is the hardest thing to change later. Moving an aisle means moving uprights, which means unloading and rebuilding.
Height, and what to do with it
Most urban units have more clear height than a single picking level uses. That volume is the cheapest capacity available to you, but it needs care in a picking operation.
Storage above comfortable reach should hold slow-moving stock, bulk backup, or seasonal lines — not anything on the fast path. Where the height is genuinely substantial, a mezzanine or multi-tier structure converts it into a second working level, though that decision brings its own questions about access, slab loading, and how goods move between levels.
The failure mode to avoid is using height for fast movers because it looked efficient on a capacity plan. Every pick from a high level costs a reach or a step stool, repeated hundreds of times a day.
Packing, staging, and the exit
A surprising number of layouts optimise picking beautifully and then bottleneck at the bench.
Packing needs bench length proportional to peak concurrent orders, staging needs space for completed orders waiting on riders, and the exit needs to not conflict with goods-in. When these are undersized, pickers finish faster and orders simply queue somewhere else — the store feels busy and throughput does not improve.
Worth sizing these from the same peak-orders-per-hour figure that drove the aisles, rather than from whatever floor was left over.
Designing for the relayout
Everything above describes a layout correct for an assortment you know today. It will change.
The practical consequence is that the racking should be something your store team can reconfigure with hand tools — bolted, adjustable, built from interchangeable components. A layout that requires a contractor to change is a layout that will stay wrong for months, because nobody schedules a service call for a shelf height.
This is why we specify bolted systems for nearly every dark store we fit out, and why we push back when a site is offered a denser system that cannot be reconfigured in-house. The density is real. So is the cost of being stuck with today's assortment.
A sequence that works
- Establish peak orders per hour and the concurrent picker count.
- Derive aisle geometry from that, honestly including replenishment.
- Map velocity across the assortment; assign reachable heights by pick frequency.
- Draw the pick path for a typical basket and check it is a loop, not a tour.
- Design replenishment so it does not cross the picking face at peak.
- Size packing, staging, and dispatch from the same peak figure.
- Confirm the whole thing can be rearranged by your own team.
Capacity is what is left after all of that — and in this business, that is the correct order.
If you are planning a site and want the layout reviewed before you commit to steel, book a survey. We will walk the floor, look at your order profile, and tell you where the layout will bind.