How to Speed Up Warehouse Picking?

The morning order list is already printed and waiting for colleagues, yet work piles up by noon. Pickers walk the same aisles, searching for missing stock, inquiring about order status, and then discover at the packing table that an item is incorrect. When the question arises of how to speed up warehouse picking, many companies immediately think of new tools, barcode scanners, or warehouse management systems. These can help, but it's worth understanding exactly where time is lost first.

The speed of picking is not simply dependent on the workers' pace. A slow process typically results from poor product movement logic, inaccurate information, poorly timed replenishments, and exceptions that the team has become accustomed to handling. In the short term, more overtime conceals the problem. However, with increasing order volumes, errors, delays, and employee frustration also grow.

First, assess the actual workflow

In most warehouses, there is a documented process and another that operates in reality. According to the description, the order arrives, the system assigns a task, the picker collects the goods, followed by inspection and dispatch. In practice, orders may be arranged in Excel, urgent items handed over verbally, shortages coordinated by phone, and an experienced colleague keeps track of where there is reserve stock.

You cannot reliably speed up what you cannot see. A short, real observation often reveals more than average daily performance figures. Follow a few orders from arrival to handover to the carrier. Measure not only how long picking takes but also how much time is spent waiting, searching, rechecking, handing over, and correcting errors.

It's worth examining by order type as well. Different logic is needed for a webshop with many small orders, a B2B customer with large volume lines, and an urgent spare part shipment. If all orders proceed along the same route and with the same priority, the system adapts to the rarer, slower cases.

The right metric is not just lines per hour

The number of picked lines per hour is a useful indicator but can be misleading on its own. A worker may appear faster if they only receive easily accessible, frequently ordered products. Management should instead see the total lead time per order, the number of incorrect or incomplete orders, the distance traveled, and the number of interruptions per shift.

It's also advisable to add the cost of errors to the picture. A poorly picked product doesn't just mean repicking. It causes customer service issues, returns, invoice corrections, inventory discrepancies, and often a loss of trust. Therefore, aggressively pushing speed is not necessarily better operation.

How to speed up warehouse picking with less movement?

In most manual picking processes, walking is the biggest time loss. If a colleague has to walk to all four corners of the warehouse for an order, it's not their work pace that's the issue, but the system forcing unnecessary movement.

The first point of examination is product placement, or slotting. Frequently ordered products should be in easily accessible, ergonomic locations. Rarely moving, large, or seasonal items may warrant different placement. This is not a one-time rearrangement project. Order data, seasonal changes, new product lines, and promotions regularly change what counts as a fast-moving product.

ABC analysis is a good starting point, but it's not enough to only look at traffic value. A low-value but frequently ordered accessory can cause much more picking time than a high-value, rarely moving product. Placing commonly ordered items close to each other can also significantly reduce the route.

The second question is how tasks are assigned. Picking by individual order is easy to understand, but for many small webshop orders, it results in many repetitive routes. In such situations, collecting for multiple orders and then sorting later can be faster. For larger, complex orders, zone picking may be appropriate, where each worker operates in a designated area.

There is no method applicable to every warehouse. Batch picking reduces walking but increases the risk of later sorting and mixing. Zone operation is well scalable but creates more handover points. The right decision depends on the order profile, product range, warehouse physical characteristics, and desired delivery deadline.

Inventory accuracy is picking capacity

If the system indicates a product is on the shelf but it's not actually there, the picker starts searching. They check neighboring locations, ask someone, or possibly break into reserve stock. This may seem like a few minutes, but for hundreds of orders, it consumes the entire day's capacity.

Inventory discrepancies often aren't due to a single error. It could be late recorded receipts, poorly handled returns, cumulative manual transfers, or a product identifier that appears differently in the webshop, ERP, and warehouse records. In such cases, colleagues become the link between systems: checking, coordinating, and correcting. This is a vulnerable and difficult-to-scale operation.

To speed up picking, it's essential to clarify which system is the source of inventory data, when statuses are updated, and who is responsible for handling discrepancies. Barcode identification can greatly improve discipline, but only if the item master, storage locations, and product movement logic are organized. Fast data entry based on incorrect base data only propagates the error faster.

Replenishment should not be the picker's problem

A common operational error is noticing a picking location is empty only when the picker is already there. At this point, the same person looks for a forklift operator, waits for the handover, or goes to the reserve location themselves. This interrupts the picking process, and priorities are disrupted.

Replenishment should be treated as a separate task, with appropriate thresholds and responsibility. Thresholds should follow actual consumption, not a quantity set a year ago. If order data predicts a campaign or large partner order, replenishment can be timed before the peak.

Reduce decision and handover points

A paper-based list is not an outdated solution in itself, but it easily becomes a problem if priorities change during the day. The same applies when the order status lives in a separate spreadsheet, inventory in another system, and shipping information arrives by email. In such cases, the worker is not picking but gathering information.

Improving the process often starts with simple rules: when an order becomes releasable, who can mark urgency, when an order can be modified, and what happens in case of stock shortage. The more ad hoc exceptions, the less the carefully designed sequence works.

Only then is it worth examining where data connections are missing between existing systems. Reliable information flow between a webshop, ERP, warehouse system, invoicing, and carrier interface can eliminate manual copying and status rechecking. A new ERP is not always the answer. Sometimes a targeted integration, simpler task assignment, or an internal application solves a problem previously handled by human coordination.

Introduce changes in a controlled manner

In warehouse operations, a poorly prepared change can immediately cause shipping delays. Therefore, it's not advisable to completely rebuild the layout, task logic, and IT background over a single weekend. Select a product group, a zone, or an order type, introduce a modification, and then measure the result against previous data.

Warehouse colleagues must be involved in this work. They are the first to see which storage locations are crowded, which products mix, where goods get stuck, and what exceptions they handle daily. The goal is not for them to work more mechanically, but to have fewer unnecessary decisions, searches, and repetitive administration.

A well-functioning warehouse is not fast because everyone is rushing. It's fast because the order, inventory, product movement, and task assignment reflect the same reality. If you examine only one thing in the next shift, let it be this: where does the picker stop because they are waiting for information, goods, or a decision? That's where real improvement begins.