AI Reference Check for Product Returns: Match to SKU, Auto‑Grade, and Write Resale Listings

Reference check returns against your catalog

Retailers that mainly sell new items can turn product returns into transparent, high converting resale listings by comparing each unit to the master SKU. Use your product information system and reference images as the source of truth, then run a reference check to detect differences, assign a condition grade, and generate accurate description text for the listing.

How it works

  • Capture intake photos of the returned item with consistent angles and lighting.
  • Match the unit to the correct SKU using PIM attributes and image recognition.
  • Compare against reference photos and canonical specs to detect deltas such as cosmetic wear, missing accessories, or packaging changes.
  • Produce a condition grade and draft copy that clearly calls out differences from new.
  • Publish to web and POS with synced pricing and availability.

Why it matters

  • Builds buyer trust with item specific transparency.
  • Speeds up listing creation and keeps grading consistent.
  • Enables pricing that reflects real condition and demand.

Data requirements

  • Well documented PIM with specs per SKU.
  • Reference photo library showing the new state from multiple angles.
  • Clean mapping between catalog records and individualized inventory items.

Implementation tips

  • Standardize photo backgrounds and intake workflow.
  • Define a difference taxonomy and a grading rubric buyers understand.
  • Set confidence thresholds for auto publish and route low confidence cases to review.
  • Sync updates to marketplaces and store systems to keep channels aligned.

Turn rich catalog data into better resale listings for every return. With reference matching and automated grading you improve conversion, speed, and margin while maintaining a single source of truth across catalog and inventory.