Project AURIONAI Use-Cases Research & Innovation
Retail and Logistics

Returns Processing with Photo Damage Detection

Checks customer photos of returned goods for damage and recommends a resolution using purchase history and return policy.

visionunverified

Named Models

The research names no model for this use case.

Where this comes from
Models the research names for this use case. Research, with sources on each model record.

Who Runs It

production, 1
PT Global Digital Niaga Tbk (Blibli)PT Global Digital Niaga (Blibli)Country: IndonesiaAI Damage Product Detection and Auto Solution Recommendation (Solusi Retur Instan)Vendor: Blibli (in-house)productionDate25 Jan 2024Nearly 50 percent less processing time (company figure)Evidence: company statementConfidence: lowSource: selular.id
Where this comes from
Documented uses by named organisations. The evidence column says who made the claim.

Candidate Models

UltralyticsYOLO26lUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 monthsUltralyticsYOLO26mUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 monthsUltralyticsYOLO26nUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 monthsUltralyticsYOLO26sUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 monthsUltralyticsYOLO26xUltralytics, visionReleasedJan 2026open weightshas scoreslast 18 monthsRoboflowRF-DETR 2XLRoboflow, visionReleasedNov 2025runs on edgehas scoreslast 18 monthsRoboflowRF-DETR MRoboflow, visionReleasedNov 2025runs on edgehas scoreslast 18 monthsRoboflowRF-DETR NRoboflow, visionReleasedNov 2025runs on edgehas scoreslast 18 monthsRoboflowRF-DETR SRoboflow, visionReleasedNov 2025runs on edgehas scoreslast 18 monthsMetaSAM 3Meta, visionReleasedNov 2025open weightshas scoreslast 18 months

Showing 10 of 660. All models of this class

Where this comes from
Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.

Sources

  1. selular.id/2024/01/blibli-terapkan-ai-dan-ml-konsumen-ki... https://selular.id/2024/01/blibli-terapkan-ai-dan-ml-konsumen-kini-bisa-retur-instan/

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Returns Processing with Photo Damage Detection", https://aurion.semai.id/usecases/ret-returns-damage-detection/, records of October 2026.