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AI-powered search, discovery, and merchandising for ecommerce stores
AI visual merchandising and product discovery for fashion ecommerce
Depict is a Swedish AI merchandising platform for fashion ecommerce that uses image-based deep learning to automate sorting, recommendations, and search while keeping merchandiser control.
Depict is a specialist merchandising platform built for fashion ecommerce, using deep learning that understands product images and attributes rather than depending only on transactional history. That image-first approach lets it deliver relevant recommendations and category sorting even for new arrivals or long-tail products with little sales data. The platform combines automated AI sorting with manual curation controls, so merchandisers keep precision over brand storytelling while offloading repetitive optimization to the AI. It also offers hybrid search that interprets shopper intent and product recommendations that respect brand rules, aiming to lift conversion and average order value. As a European (Swedish) specialist competing with larger personalization suites like Nosto and Bloomreach, Depict differentiates through its fashion focus, visual understanding, and merchandiser-friendly hybrid control model. It is aimed at mid-to-larger stores with meaningful traffic.
Depict is a Swedish AI merchandising platform for fashion ecommerce, using image-based deep learning to automate sorting, recommendations, and search.
Depict is a Sweden-based ecommerce technology company focused on fashion merchandising. It targets a specific gap: fashion catalogs turn over quickly and depend heavily on visual appeal, which makes purely sales-history-driven personalization weak for new and long-tail products.
By building on visual understanding of product imagery, Depict positions itself as a fashion specialist against broader personalization suites, appealing to brands that want merchandising quality without ceding all control to a black box.
Depict provides automated category sorting, image-aware product recommendations, hybrid intent-aware search, and merchandiser curation controls that enforce brand rules. It integrates with ecommerce platforms via product feeds.
It targets stores above a minimum traffic threshold and prices per store, reflecting a focus on mid-to-larger fashion retailers rather than the smallest merchants.
Depict serves fashion and apparel ecommerce retailers, especially in Europe, that have meaningful traffic and want visual, brand-aware merchandising.
Ecommerce merchandisers and category managers.
Ecommerce and digital directors at fashion brands.
Ecommerce platform partners and agencies.
A mid-to-large fashion ecommerce retailer with substantial traffic seeking better merchandising and product discovery.
European venture-backed startup; funding details should be verified with the vendor or Crunchbase.
It uses deep learning on product images and attributes, so it can recommend and sort products without relying only on historical sales data.
It is purpose-built for fashion ecommerce and works best for apparel and similar visual-catalog retailers.
Yes, it generally requires a minimum traffic level (around 50k sessions/month) and does not offer a free plan.
Yes, Depict blends automated AI sorting with manual curation and brand rules so merchandisers keep control.
It powers category sorting, product recommendations, and hybrid intent-aware site search.
Side-by-side pages for pricing, features, and best-fit use cases.
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