Designing a pick path through a warehouse
Delpack Logistics
October 26, 2026
10 min read
Map the bins on one cart and compare permitted travel sequences when a picker revisits the same long aisle three times.
A picker takes one cart into a long aisle, collects an item near the front, leaves for another zone, then returns twice for bins farther down that same aisle. The orders on the cart are correct, but the travel sequence repeats a long walk. Designing a pick path through a warehouse aisles asks which order of existing bin visits can remove that avoidable travel while preserving every required pick and the facility’s movement rules.
The decision is about the route through assigned storage locations. It does not move a fast-selling item to a new slot, and it does not decide whether several customer orders should be batched onto one cart. Those decisions affect which work enters a route; this article starts with the cart and its required bin list already known. The useful output is a tested sequence that a worker can follow, confirm in the picking system, and complete without losing order accuracy.
Build a bin map from the locations on the cart
A route cannot be evaluated from item names alone. List each required location with its aisle, bay, side, level, and any zone boundary. Mark the cart’s start and end points: a worker may leave from a staging area and finish at packing, at a drop location, or back where the cart began. The shortest sequence can change when the finish point changes. Use the actual accessible path between bins rather than assuming a straight line through shelves.
The bin map should also show which stops belong to which order position on the cart. If the cart has dedicated totes, record the tote associated with each line. This keeps the route question separate from the item-to-order handoff. Two bin visits close together may still require separate scans into different totes. If one bin supplies multiple order lines, the route should visit it once when the system can support the needed quantity and confirmations.
Check the underlying location data before optimizing it. A bin label that differs from the system record, an inactive location, or a temporary relocation can make a proposed route unusable. Walk a small sample and confirm that the mapped positions match where workers actually pick. Oracle’s warehouse documentation describes location pick sequences as numbers that determine where a location falls in the picking sequence. That is a system example of an important dependency: the configured sequence must represent real movement through the building.
For the long-aisle example, the map shows three required bins at the front, middle, and back of one aisle. The original task list separates them with two stops in another zone. Seeing the bins together makes the repeated entry obvious. Designing a pick path through a warehouse work starts by exposing such travel, without yet assuming the worker can visit all three in one pass.
Apply aisle rules before minimizing distance
Aisle rules set the feasible paths. Mark one-way travel, equipment restrictions, crossings, pedestrian-only areas, cart turn points, closed aisles, and places where workers must yield to other traffic. A route that looks shortest on a plan may require turning around where a loaded cart cannot turn or crossing a forklift lane in a prohibited way. Treat those restrictions as hard constraints, not small penalties added to a distance score.
Separate the worker’s walking distance from cart travel when the process allows a cart to be parked at an aisle entrance. Walking in to pick one light unit has a different cost from pushing the whole cart down and back. Conversely, leaving a cart where it obstructs another worker is not a legitimate shortcut. Observe the approved work method and map the route a worker can actually take with the equipment assigned.
Microsoft’s Dynamics 365 documentation for spatial location sorting distinguishes straight-line distance from a city-block calculation that follows a grid-like aisle layout. Its feature is labeled preview, and its algorithm details belong to that product; the broader lesson is that a route model must reflect movement constraints. If workers must travel to an aisle end before crossing, a straight line through racks understates the trip. A hand-drawn route can be adequate for a small test if it uses the real walkways.
For the example cart, suppose the long aisle is one-way during the busy shift. The worker cannot collect the rear bin and simply reverse to the front. A sensible candidate may enter once, visit the front, middle, and rear bins in permitted order, then leave at the far end. If the exit is blocked at certain times, a different sequence or start time may be needed. The facility rule controls the comparison.
Compare route sequences for the same required picks
Write down the current route sequence and at least one feasible alternative. Both must contain the same required bin visits, start and finish points, and allowed movements. For a long aisle, compare the current front-zone-back-zone-middle pattern with a single-pass front-middle-back pattern. Draw the connecting paths and measure or estimate travel from the actual layout. Do not use the number of aisle entries as the only measure; a new route may save entries while adding a large detour elsewhere.
Use a common workload for comparison. The same cart, item quantities, equipment, and order requirements should be applied to each route. If the alternative changes the number of carts or shifts a heavy item to a different storage slot, the test has mixed several decisions. Keep the scope narrow enough to explain the result. Measure walking or travel time, but also note waiting at crossings and the time to handle bins at awkward levels; these can outweigh a modest distance saving.
Check direction. A serpentine path that visits all needed bins in each aisle may work when aisles have usable connections at both ends. A return path down the same aisle may be better when the far end is closed or when the cart must end near its start. A system’s numerical location sequence can support either pattern if configured accordingly. Oracle describes pick sequences as one way to establish an efficient path, not as a claim that one sequence fits every order.
Keep the worked example concrete. On the current route, the picker enters the long aisle for the front bin, exits to a nearby zone, returns for the rear bin, then comes back for the middle bin. On the candidate, the picker completes all three long-aisle bins in one permitted pass before visiting the other zone. If that candidate reduces travel and still satisfies cart and order rules, it deserves a pilot. If it creates a prohibited turn or a difficult heavy-item placement, modify it before testing.
Preserve order accuracy at every stop
A shorter path has no value if it increases wrong-item or wrong-order picks. Order accuracy depends on confirming the location, item, quantity, and cart compartment at the point of pick. The route may place several similar products together; workers should use the required scans and checks instead of relying on memory. If the same SKU serves two customer orders, the system must direct how many units go into each tote or allow a controlled later sort.
Design the display so it follows the route without hiding order identity. A worker who sees only the next aisle number may know where to walk but not which tote needs the item. A worker who sees a full list sorted by customer order may repeatedly double back. The process needs both: an actionable next location and a reliable confirmation for each order line. If the warehouse system cannot show the proposed path while preserving those confirmations, test a supported configuration or a smaller route change.
Consider cart loading order. Heavy or bulky items picked early may be hard to place or can cover an earlier tote label. Fragile items might need a protected compartment. Those concerns can make a slightly longer sequence preferable. Do not solve the problem by changing product storage; that is a separate slotting decision. For this route, document any cart-order constraint and compare only paths that can keep the load identifiable and stable.
Use exception handling in the trial. If a bin is empty, the picker should follow the approved short-pick or alternate-location process. A shortcut that sends the worker to an unofficial reserve bin may save a walk but break inventory and order records. Track such events separately from the base route time. Designing a pick path through a warehouse aisles means organizing travel around correct picks, not trading away confirmation to make the route look fast.
Test the proposed path with a real cart
Choose representative carts that include the long-aisle pattern, then run the current and proposed sequences under comparable conditions. Include a typical busy period, because congestion at crossings or pack handoff points may change the result. Record total travel, pick completion time, waiting, wrong-bin scans, corrections, and whether the worker had to deviate from the suggested order. Note the number of bin visits as well as distance: a route can be shorter on paper yet require repeated stops, scans, and cart repositioning. A route that works on an empty floor can fail when other carts occupy the same aisle.
Ask the picker to explain any deviation. A location may be physically inaccessible, the cart may not fit past a pallet, or the display may present lines in a confusing order. These observations are part of the test. Do not force a worker to continue an unsafe or prohibited path for the sake of a timing comparison. Stop the trial, record the failed condition, and change the candidate route or the underlying obstruction.
Compare repeated runs rather than a single fast lap. One worker already familiar with the bins may make an untested route look better than it will for the shift. Another may take longer on the first attempt while learning the new sequence. Document the route version and the workers’ experience so the decision does not rest on one unusually favorable observation. If the path saves distance but increases order sorting at the end, include that handoff time in the result.
Microsoft’s spatial sorting example uses location coordinates and algorithms to order pick work lines. Those tools can help where the system supports them, but a configured route still needs a physical check. Labels, temporary closures, and cart behavior are real-world details that coordinates may not capture. A successful pilot connects the proposed sequence to how workers actually move and confirm picks.
Publish one usable path rule and monitor exceptions
If the single-pass long-aisle route performs better without accuracy or safety loss, update the location or task sequence used by the picking process. Explain the start point, aisle direction, bin order, cart-handling rule, and finish point. Verify that the system-generated task list follows it on a new cart rather than relying on workers to remember an unofficial shortcut. Preserve the former sequence and test evidence so the change can be reviewed or reversed.
Monitor carts that still enter the long aisle repeatedly. Some will have a legitimate reason, such as a later exception pick or a task released after the cart started. Others may reveal that location data are wrong or that the routing rule is not applied to all task types. Review both the travel pattern and wrong-pick or correction rate. A lower walking total paired with more order errors is not the improvement sought.
Revisit the path when aisle rules, pack-station location, cart design, or task release changes. A path that starts and ends at one dock may be inefficient when packing moves to another side of the building. The decision can be maintained without redesigning the whole warehouse each week: keep a map of allowed movement, a tested sequence, and clear triggers for review.
Readers exploring nearby logistics subjects can browse the driver guide hub , and those considering field work can visit the Fort Wayne driver careers page . For this cart, the useful outcome is simpler. The worker reaches all required bins in a permitted order, avoids unnecessary return trips down the long aisle, and leaves with each item confirmed for the right order. That is the standard by which the new path should be judged.
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