With our picking evaluations, you get an overview of the picking performance in your warehouse. The Picking Dashboard allows warehouse managers to evaluate key warehouse metrics, sort them by employee, and compare time periods with each other. This provides detailed insights into your warehouse performance and supports you in staff planning.

The picking evaluations relate to picking and shipping processes in Pickware WMS. Processes such as picking with pick lists or putaway processes in the WMS are not evaluated via the Picking Dashboard.

Accessing the Picking Dashboard requires its own permission. By default, this permission is reserved for administrators. However, via Settings → Users & permissions → role → General → check the box for Picking Dashboard, you can easily enable this feature for other roles as well.

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 filtering by these roles, you can compare employees within the different cohorts against each other, avoiding non-meaningful comparisons such as temporary staff vs. full-time employees.

With the Picking modes filter, you can evaluate which mode an employee picks fastest with 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 following KPIs are available in the overview:

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 the week or the course of the day. All applied filters also affect the output analysis.

The view can be switched 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 occurred are included in this calculation. Days without any picking activity are excluded, so that public holidays or weekends do not distort the evaluation.

Hovering over individual data points displays the specific values.

Using the legend, individual KPIs as well as the employee line can be shown or hidden.

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 evaluations 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 identify differences in working style, experience, or area of deployment. You can view the KPIs for the entire evaluation period, broken down by day, or by hour, per employee.

For evaluations by day or hour, weighted averages are used. The weight is derived from the actual active days or hours. Users with more picking activity are weighted more heavily in the calculation accordingly. This makes it possible to fairly compare employees with each other regardless of differing shift lengths or highly fluctuating workloads. For evaluations over the entire period, on the other hand, the normal average is calculated.

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

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

In addition, the KPI Shipped orders is available here. This shows which employee marked how many orders as shipped. If you separate pickers and packers in your warehouse, you can use this metric to evaluate the performance of your packers—the number of shipped orders reflects how many packages an 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 per hour, the values are averaged.

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

The CSV files contain additional information that goes beyond the filter options available in the dashboard. This includes, for example, storage location data or product information such as weight.

With the live view of the Picking Dashboard, you get 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 today and updates automatically every 10 seconds.

Open the live view via the Live view button in the top right 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 many pickers are active, 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 Picked orders and Shipped orders metrics. After switching, the ranking is reordered based on 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 evaluation.