Case Study: MercadoLibre achieves automated, scalable image quality moderation and faster seller onboarding with Vue.ai

A Vue.ai Case Study

Preview of the Mercado Libre Case Study

Automated quality assessment for images at scale with AI-powered image moderation

Mercado Libre, Latin America’s largest eCommerce ecosystem, faced a massive image-quality challenge: with roughly 12 million sellers and over 642 million monthly visits across 18 countries, manual image moderation was too slow, resource‑intensive and error‑prone—causing slow seller onboarding, high QA effort and inaccurate rejections. To address this, Mercado Libre began using Vue.ai’s AI-powered automated image moderation solution.

Vue.ai implemented a real‑time, trainable moderation system that checks for text/watermarks, background compliance, borders, multi‑object images and other marketplace guidelines, and provides automated feedback to sellers. The deployment cut rollback rates by about 70% over three months, reduced seller contact tickets by 51% (≈30% average month‑on‑month), lowered false positives for text moderation by 56%, and improved overall rejection accuracy—delivering faster onboarding, fewer manual reviews and cost savings.


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