Plain-language questions
Ask for picks per hour per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
KPI · Logistics
Picks per hour is the average number of order lines a picker or team collects per hour spent picking. It is the most widely used productivity measure in the warehouse. Together with picking accuracy it shows whether speed is coming at the expense of quality.
Order lines picked ÷ picking hours
In May 2026 one picker at Acme Groothandel collected 6,300 order lines in 75 picking hours. That is 6,300 ÷ 75 = 84 picks per hour.
Fictitious figures for Acme Groothandel, a sample wholesaler.
More picks per hour means lower labour cost per order, as long as picking accuracy holds up. The figure depends heavily on warehouse layout, order profile and picking method, such as single-order or batch picking. Compare within the same warehouse and zone over time, and always alongside the error rate.
SQL & DAX
Two examples on a fictitious data warehouse for Acme Groothandel: a PostgreSQL query and a measure for a Power BI model. Adjust table and column names to your own model.
SELECT date_trunc('week', picked_at) AS week,
picker_id,
SUM(lines) AS lines_picked,
ROUND(SUM(minutes) / 60.0, 1) AS pick_hours,
ROUND(SUM(lines) / NULLIF(SUM(minutes) / 60.0, 0), 1) AS picks_per_hour,
ROUND(100.0 * SUM(errors) / NULLIF(SUM(lines), 0), 2) AS error_pct
FROM picks
GROUP BY 1, 2
ORDER BY 1, picks_per_hour DESC;Pick Hours = DIVIDE(SUM(Picks[Minutes]), 60)
Picks per Hour = DIVIDE(SUM(Picks[Lines]), [Pick Hours])In ENABLE
Ask for picks per hour per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
Define the KPI as a measure in your Power BI model and show it in the portal, with "Last refreshed" next to it. Access profiles and optional row-level security decide who sees which figures.
Add the KPI as a tile to a custom dashboard, compared with last year. The Dashboard Builder is a pilot and can be switched on per client.
With the built-in Targets app you set a target for the KPI per month, so you see actuals and target side by side.
FAQ
Divide the number of order lines picked by the number of hours spent picking. Decide whether you count lines, units or orders, and whether breaks and walking between orders are included. Apply that definition consistently.
Usually order lines, because each line means a visit to a location. Units per hour can be a useful addition when lines range from one unit to a hundred. Always state which unit you use.
Most picking time is spent walking, so placing fast movers close to the packing station often helps most. Batch picking, where you collect several orders in one round, shortens walking further. Keep an eye on picking accuracy at the same time.
In an online demo we show how ENABLE makes your data securely available and how you build on it: describing an app in the AI Builder, plain-language questions, dashboards and APIs. And how we set it up and manage it for you.