What We Learned Deploying Scrubbers Across a 40,000 m² Warehouse
Field notes from a real autonomous scrubber rollout — what broke, what worked, and the operational habits that made it stick.
By WhichBot Team
Specs get you to a shortlist. Operations decide whether a fleet survives its first quarter. These are the lessons from a 40,000 m² distribution center that went from two manual scrubbers to a fleet of four autonomous units.
Mapping is 80% of the install
The robots cleaned beautifully on day one — on the aisles that were mapped. The problems were everywhere the map was stale: a relocated pallet rack, a new charging cart, a seasonal staging zone. Budget for re-mapping as an ongoing operational task, not a one-time setup.
Charging is a floor-planning problem
Four robots, three need a charge mid-shift. If your docks are clustered in one corner, you've just created a traffic jam and dead travel time. We moved docks to the centroid of each cleaning zone and recovered roughly 12% of effective runtime.
The "exception queue" is the real job
Autonomy doesn't remove labour; it changes its shape. The night team stopped pushing a scrubber and started managing exceptions: a spill the robot flagged, a blocked aisle, a full recovery tank. One trained operator handled all four robots — but only after we built a simple exception dashboard and a clear escalation rule.
What the ROI model missed
Our pre-deployment estimate from the Fleet & ROI Planner was directionally right on labour displaced, but it understated the value of consistency. Audited cleaning scores went up because the robot doesn't cut corners at 3 a.m. That showed up later as fewer slip incidents and better customer audit results — real money the simple payback model never captured.
The takeaway
If you're rolling out more than one robot, treat it as an operations program, not a purchase. The teams that win assign an owner, instrument the work, and re-map relentlessly.
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