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South KoreaRetail and e-commerce2025 – ongoing

Kurly

Deep-learning inspection of fresh produce

Kurly deployed AI produce inspection at Gimpo and Pyeongtaek with reported accuracy of at least 95%

WorkingCompany's own claim

Problem

Manual visual inspections produced differences in how workers judged incoming fresh produce.

Approach

Kurly introduced camera-based inspection machines at its Gimpo and Pyeongtaek logistics centers in May 2025. A deep-learning sorting solution assessed produce images against 25 criteria. Products scoring below the acceptance threshold were returned.

Results

at least 95%at least 95% inspection accuracy reported for Kurly's systemCompany's own claim[1]
5–10 seconds5–10 seconds to measure each productCompany's own claim[1]

Takeaway

The machines applied common acceptance criteria across the operating centers. Wider deployment was still planned when the results were reported.

Categories

Innovation type
Process innovation
AI technology
Computer vision
Evidence
Company's own claim

Sources

Source summaries

[1]Electronic Times17 Jun 2025

Electronic Times reported that Kurly had operated AI produce-inspection machines at Gimpo and Pyeongtaek since May. It described 25 assessment criteria, measurement times of 5–10 seconds and accuracy of at least 95%. Expansion to other centers remained planned.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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