Our picking analytics give you an overview of the picking performance in your warehouse. The Picking Dashboard allows warehouse managers to analyze key warehouse metrics, sort them by employee, and compare different time periods. This provides detailed insights into your warehouse performance and supports you in staff planning.

The picking analytics refer exclusively to picking processes in the Pickware WMS. Picks from processes such as picking with pick lists, packing processes, or putaway processes in the WMS are not evaluated in the Picking Dashboard.

Accessing the Picking Dashboard requires a dedicated permission. By default, this permission is reserved for administrators. However, you can easily enable this feature for other roles via Settings → Users & Permissions (Benutzer & Rechte) → Role → General (Allgemein) → checkbox Picking Dashboard.

With the User role filter, you can, for example, create different roles for your temporary, part-time, and full-time employees. You can assign these roles to employees in addition to their existing roles. When you filter by these, you can compare employees from different cohorts with each other, avoiding non-meaningful comparisons such as temporary staff vs. full-time staff.

With the Pick modes filter, you can evaluate which mode allows an employee to pick fastest and which modes may require additional training.

The upper section of the Picking Dashboard shows you a cross-warehouse overall overview of selected KPIs. This overview helps you track the general development of picking performance during the selected time period.

The overview provides the following KPIs:

Picks: A pick is counted as soon as a user confirms the removal of a product – regardless of the quantity removed.

Picked units: This metric indicates how many individual products were picked in total. If a quantity greater than 1 is confirmed for a pick, the entire quantity is counted.

Picked orders: An order corresponds to a single delivery for an order. If an order is fulfilled in multiple partial deliveries, these are counted as separate orders.

The output analysis shows the average output of all KPIs over time and answers the question of how picking performance in the warehouse typically distributes across the course of a week or a day. All filters that are set also affect the output analysis.

You can switch the view between a weekly view and a daily view.

In the daily view, the average output per hour is calculated. Only days on which picking actually took place are included in this calculation. Days without picking activity are not taken into account, so that holidays or weekends do not distort the analysis.

Hovering over individual data points displays the specific values.

Using the legend, you can show or hide individual KPIs as well as the employee line.

In the daily view, only the relevant time range is displayed. For example, if the first picking activity in the selected period starts at 5:12 AM, earlier hours are not shown. Within these days, hours without activity are still included in the calculation with a value of 0, so that only fully inactive days are excluded.

The analyses below, in the performance analysis section, relate specifically to the performance of individual employees.

Here you can analyze the KPIs sorted by employee and compare them with each other to reveal differences in working methods, experience, or area of deployment. You can display the KPIs for the entire evaluation period, by day, or by hour for each employee.

When evaluating by day or hour, weighted averages are used. The weight is derived from the days or hours actually worked. Users with more picking activity are therefore weighted more heavily in the calculation. This ensures that employees can be fairly compared with each other regardless of shift lengths or strongly fluctuating workloads. When evaluating over the entire period, however, the standard average is calculated.

An hour or a day is only included in the evaluation if at least one pick or one order was completed during that period. Hours or days without picking activity are not taken into account. This ensures that the evaluation is based exclusively on work actually performed and is not distorted by inactive periods.

As with the overview, you can also set a reference period in the performance analysis. The selected period is compared as a percentage with this reference period, making trends and developments visible.

Additionally, the KPI Shipped orders is available here. This shows how many orders each employee has marked as shipped.

In the tabular performance analysis, all KPIs are clearly displayed per employee. Depending on your needs, individual metrics can be shown or hidden using the button on the right.

The Total row shows the sum of all values as absolute figures. For metrics measured per day or hour, the values are averaged.

Picked orders and picks can each be exported as separate CSV files using the Export button at the top right. The export allows for individual, external analyses outside of the Picking Dashboard.

The CSV files contain additional information beyond what's available through the filter options in the dashboard. This includes, for example, warehouse location data or product information such as weight.

The live view of the Picking Dashboard gives you a real-time evaluation of today's picking performance – ideal for display on, for example, a warehouse TV screen. The view shows a ranking of all pickers with the orders picked so far today and updates automatically every 10 seconds.

Open the live view via the Live view button in the top right corner of the Picking Dashboard.

A full-screen overlay opens, covering the normal admin interface and optimized for display on a TV or large monitor.

If there are many active pickers, the ranking is automatically distributed across multiple pages so that all employees remain visible at a glance.

In the footer, you can use a toggle to switch between the metrics Picked orders and Shipped orders. After switching, the ranking is resorted according to the selected metric. By default, picked orders are displayed.

Press the ESC key or the close button to exit the live view and return to the normal analysis.