How it works

Illustration of AI Catalog Intelligence with various documents and data sheets on the left, and a brain inside a gear on the right, connected to icons representing style classification, material tagging, and dimension normalization.
Diagram of spatial data layers with a chair, magnifying glass, and cube, illustrating visual product intelligence and spatial attributes.
Graphic illustration of an AI discovery engine with a smiling robot in the center, surrounded by icons representing shopping, search, camera, chat, and social media, labeled "AI Discovery Engine".
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The Data Layer Powering AI Commerce

Fetch & Style works with the systems that already power your product data, inventory, and customer experience.
No forced replatforming. No duplicate catalog management.

Fetch & Style diagram showing various interconnected digital systems, including PIM Systems, ERP & Inventory Systems, POS Systems, Product Feeds, APIs & Cloud Storage, DAM Platforms, E-commerce Platforms, CRM & CDP Platforms, each with their respective icons and descriptions.

Built to Work Across Your Data Ecosystem

Connect Fetch & Style to your existing:

  • PIM systems for product attributes, dimensions, materials, and taxonomy

  • DAM platforms for product imagery, video, and 3D assets

  • ERP and inventory systems for pricing, availability, and fulfillment data

  • Ecommerce platforms for storefront, cart, and transaction workflows

  • POS systems for showroom and in-store product discovery

  • CRM and CDP platforms for permissioned customer context and personalization

  • Product feeds, APIs, and cloud storage for flexible catalog ingestion

Fetch & Style enriches and structures your catalog for AI discovery, visual matching, semantic search, and spatial-commerce experiences.

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