Webshops & e-commerce · Field, warehouse & production

Returned items graded from a photo and back on sale fast

When a return lands at the warehouse, the worker scans the return label and takes two photos; the AI matches them to the order, grades the item (resell as new, outlet, back to supplier, dispose), assigns the bin and triggers the refund step, so returns stop piling up on a pallet for weeks.

Avg. time saved
612 h/week· ≈ 39 h/month
Rollout
AdvancedDay 36+
Who it is for
Online retail and marketplaces

In short

Returned items graded from a photo and back on sale fast: When a return lands at the warehouse, the worker scans the return label and takes two photos; the AI matches them to the order, grades the item (resell as new, outlet, back to supplier, dispose), assigns the bin and triggers the refund step, so returns stop piling up on a pallet for weeks. It typically gives back 6–12 hours a week to whoever does this by hand today. Built for: Online retail and marketplaces.

Typical hours saved per week for the people doing this by hand today, from the 2026 report's ranges. The AI writes what that time makes possible.

Example

Comes in

Return parcel scanned: order #80211, running shoes size 43; photos show a clean sole, box slightly dented

The AI

  1. Grades it “as new, replace box”, assigns bin C-14 and marks the size back in stock

Comes back

Back on sale in 20 minutes instead of 9 days; the refund goes out the same afternoon

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