Okkular.io's Tag-Gen automates product tagging for fashion and furniture retailers, using deep learning to suggest tags from product images for easier discovery and onboarding.

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For fashion, furniture and other retail teams managing large online product catalogues, Okkular.io helps reduce the manual work of adding consistent product tags and attributes. It analyses product images alongside available catalogue or API data to suggest structured details such as product type, colour, material, style, fit and occasion, which can be mapped to a retailer’s taxonomy. Teams can review, correct and approve generated tags, then export them or deliver them through an API or supported integrations. The enriched product data can support ecommerce search and filters, merchandising, product recommendations and SEO. Okkular.io is suited to retailers looking to speed up catalogue onboarding and improve product discovery without tagging every item by hand.

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