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Marketplace content moderation & menu hygiene at scale.

4
moderation & menu-hygiene workstreams
Trust & Safety / Marketplaces Text / NLP Classification Moderation
01

Challenge

Keeping a large food marketplace clean: correct dietary tagging, removal of third-party references and misleading promos, and consistent moderation decisions with auditable reasons.

02

Approach

io-ai ran a four-workstream suite: dietary tagging (vegan / vegetarian / gluten-free / non-veg), blocking external references, “new item” disambiguation (keep brand and place names, strip the novelty “new”), and review moderation.

Reviews were approved for genuine appreciation and rejected for promos, links and handles, non-primary-language, profanity or misleading information, always with a rejection reason recorded.

03

Quality

Every task ran through io-ai's multi-level QA pipeline, with first-batch audits before scale-up and full rejection-reason metadata on every item, holding over 98% accuracy on rolling audits, with weekly status reporting.

AnnotatorPeer checkAuditorLead reviewClient delivery
04

Result

Higher menu and review quality across the marketplace, with auditable moderation decisions delivered at scale.

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