Case Study
71% fewer packing errors, and scan-verify was already running.
Staci Americas | 3PL | 25,000+ orders/day | 19 stations
Case Study
Staci Americas
71% error reduction, even with scan-verify in place.
Error reduction
Pack speed improvement
Productivity increase
QA & support cost reduction
Digital QA was in place. Errors still shipped.
Staci Americas is a national 3PL processing more than 25,000 orders per day across 19 pack stations. They had already invested in digital quality assurance, scan verification was running at every station. Every barcode was scanned. Every order was "confirmed."
But scans confirm that a barcode was read. They don't confirm what physically went in the box.
Items that looked similar but weren't the right SKU. Inserts that were required by the client SOP but forgotten. Packaging that didn't match the brand's spec. Scan-verify said "packed." The customer said otherwise.
The errors weren't a technology failure. They were a visibility gap. The digital system tracked the plan. Nothing tracked what actually happened.
Rabot added the visual layer, and showed what the scans couldn't.
Rabot cameras were installed above each of Staci Americas' 19 stations. No construction. No WMS modifications. Live in a day.
From that point, every order was visually verified: items, quantities, inserts, dunnage, and packaging, by AI trained on millions of fulfillment items. The digital system still ran. Now there was a second layer: what actually went in the box, confirmed visually, for every single order.
When the scans said "verified" and the AI saw something different, the operation knew. In real time. Before the box shipped.
But it wasn't just about catching errors in the moment. The data from every station, every shift, and every operator revealed patterns that had been invisible: which stations were slower, which SOPs were being missed most often, where the process was breaking down. For the first time, Staci Americas could see the entire physical operation, not just the digital record of it.
The numbers across 19 stations, over 90 days.
Error reduction
Pack speed improvement
Productivity increase
QA & support cost reduction
Results measured over a 90-day deployment period compared to pre-Rabot baseline across all 19 stations. Single customer observation. Results reflect the combined impact of AI validation, operator awareness, and new work instructions delivered via Rabot Pulse. These are correlated outcomes, not isolated single-variable measurements.
"We need to stay ahead of the competition and Rabot helps us differentiate ourselves when we're dealing with our clients."
Johanna Pudda
CEO, Staci USA
Prevention. Performance.
Prevention
Stop errors before they ship.
Staci Americas' scan-verify said "packed." Rabot showed whether it was right. AI validation caught errors that digital QA couldn't: wrong items, missing inserts, packaging mismatches, before the box left the station. Errors dropped 71%.
Performance
Run tighter every week.
Per-station activity data revealed where time was lost and where SOPs were breaking down. Pack speed improved 69%. Productivity increased 33% across all 19 stations. QA and support costs dropped 60%.
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