Visual collection editing
Merchandise hundreds of collections with drag-and-drop editing, mobile and desktop previews, and sales and stock context next to each product.
Merchandising assisté par IA pour recherche, recommandations et vitrines
Depict is an AI-assisted merchandising platform for brands. It brings visual merchandising, search, and product recommendations into one system so merchandisers can curate storefronts while automating repetitive optimization work.
The product is built for Shopify, Centra, Salesforce Commerce Cloud, and headless storefronts. The site frames it around brand-led control, unified merchandising rules, and analytics across the surfaces where shoppers discover products.
Merchandise hundreds of collections with drag-and-drop editing, mobile and desktop previews, and sales and stock context next to each product.
Add content cards, pin products to specific positions, repeat products across collections, and choose the exact image shown for each collection page.
Set sorting rules once, then boost performers, bury underperformers, and let the system optimize collection order automatically.
Test merchandising choices against each other, compare results, and schedule campaigns or seasonal collections ahead of time.
Combine AI, keyword search, and merchandising rules so results reflect intent, synonyms, typos, and business priorities.
Use an AI-enriched catalogue to power recommendations, unified rules, and analytics across collections, search, and recommendations.
Teams can curate collection pages with drag-and-drop sorting, content blocks, pinned products, and image-level control while still letting automation handle the rest of the ranking.
Merchandisers can tune search results with AI, keyword search, and rules so typos, synonyms, and intent are handled without constant manual work.
Retail and ecommerce teams can use recommendation rules to surface related items and cross-sells across large catalogs without manually managing every product pairing.
Brands operating across regions or storefronts can merchandise each market separately from a single platform instead of maintaining disconnected workflows.
Teams can compare merchandising approaches with A/B testing and scheduled publishing to prepare campaigns, launches, and seasonal updates in advance.
Depict is positioned for brands that want to manage visual merchandising, search, and recommendations from one platform. The site highlights Shopify, Centra, Salesforce Commerce Cloud, and headless storefronts, so it fits teams working in those environments.
The platform combines collection merchandising, search, and recommendations so teams can set rules once and apply them across surfaces. Visual merchandising includes drag-and-drop curation, content cards, pinned products, repeated products, image selection, smart sorting, A/B testing, and scheduled publishing.
Yes. The pricing page states that every plan includes the full toolkit, with merchandising, search, and recommendations available as separate products or as a bundled plan. It also notes that multi-market and multi-store are reserved for Custom plans.
The source material supports native Shopify and Centra integrations, Salesforce Commerce Cloud support, and deployment to headless or composable storefronts through API and SDK access. It does not provide implementation timelines or onboarding steps.
The site says Depict supports unified merchandising rules and analytics across collections, search, and recommendations. It also shows some features are available on certain surfaces, such as search being marked as coming soon for headless on the source page.
Les données de trafic sont fournies à titre indicatif uniquement.
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