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Fabric Commerce Platform
San Francisco and Toronto
What it is
Fabric Commerce Platform is merchandising software for brands, retailers, and merchandising teams working across AI shopping channels. Its Merchandising Studio shows whether products appear in AI answers, how often they are recommended relative to competitors, and which prompts reveal shopper intent across ChatGPT, Perplexity, Gemini, and Claude. Teams can enrich product descriptions, attributes, brand content, FAQs, and image alt text according to brand guidelines. Fabric can read supplier sites, B2B portals, specification sheets, and files, then validate and prepare product data. Google Analytics connections and experiments help track performance and compare strategies. Listed integrations include Shopify, Salesforce, SAP, Adobe, Oracle, Akeneo, Salsify, inriver, and other commerce and product systems. The platform uses API-first delivery across commerce systems, AI engines, social shopping, and commerce pages, with REST listed as a protocol. It supports cloud deployment, multiple stores, B2B commerce, marketplaces, and inventory management. Fabric says data is encrypted in transit and at rest, not shared across customers, and protected by granular permissions and human approval. Pricing is available on request.
For and against
For
- Tracks recommendations across AI engines
- Enriches catalogs using brand guidelines
- Supports experiments and Google Analytics
- API-first, REST-based delivery
- Human approval for every shipped change
Against
- Pricing is available only on request
- Deployment is described as taking weeks
- Requires connecting supported commerce or product systems
The verdict
Fabric combines AI-channel visibility, catalog enrichment, analytics, and controlled publishing for commerce teams. Its integrations and API approach are broad, while pricing and deployment require direct discussion.
Who it suits
Fabric suits brands, retailers, and merchandising teams focused on product visibility in AI shopping results. It also fits organizations managing multiple stores, B2B commerce, marketplaces, or inventory.
On the record
- AI channels
- The platform lists ChatGPT, Gemini, Claude, and Perplexity among the AI engines it connects with.fabric.inc · read 4 Oct 2026
- AI visibility
- Merchandising Studio monitors whether products are recommended by AI engines and how often they appear compared with competitors.fabric.inc · read 4 Oct 2026
- Analytics
- The studio supports connecting Google Analytics data to track performance over time and setting experiments to compare strategies.fabric.inc · read 4 Oct 2026
- API access
- Fabric describes its delivery as API-first for commerce systems, AI engines, social shopping, and commerce pages.fabric.inc · read 4 Oct 2026
- Catalog enrichment
- Fabric can enrich product descriptions, attributes, brand content, FAQs, and image alt text in line with brand guidelines.fabric.inc · read 3 Oct 2026
- Catalog optimization
- The studio can enrich product descriptions, attributes, brand content, and FAQs in line with brand guidelines.fabric.inc · read 4 Oct 2026
- Controls
- The platform offers granular permissions and human approval on every change that ships.fabric.inc · read 4 Oct 2026
- Core product
- Merchandising Studio monitors and optimizes a company’s performance on AI channels.fabric.inc · read 3 Oct 2026
- Data integrations
- Fabric lists integrations or supported systems including SAP, Adobe, Microsoft, NetSuite, Shopify, commercetools, Oracle, Salesforce, Akeneo, Salsify, inriver, Pimberly, Manhattan, Syndigo, Acquia, and IBM.fabric.inc · read 3 Oct 2026
- Deployment
- Fabric says deployments can be completed in weeks and describes its customers as companies with tens of thousands of SKUs.fabric.inc · read 4 Oct 2026
- Integrations
- The platform lists connections to systems including Shopify, Salesforce, SAP, Adobe, Oracle, Akeneo, Salsify, and inriver.fabric.inc · read 4 Oct 2026
- Intended users
- Fabric describes its audience as brands, retailers, and merchandising teams seeking to optimize how products appear across AI shopping channels.fabric.inc · read 3 Oct 2026
- Permissions and review
- Fabric says it provides granular permissions and human approval for every change that ships.fabric.inc · read 3 Oct 2026
- Pricing and support
- The contact page invites questions about pricing and says a real person from the team responds without ticket queues or bots.fabric.inc · read 4 Oct 2026
- Product onboarding
- Fabric can read supplier sites, B2B portals, spec sheets, and files, then validate and build enriched products for activation.fabric.inc · read 4 Oct 2026
- Protocols
- Fabric says it comes tuned for UCP, ACP, and other changing protocols.fabric.inc · read 4 Oct 2026
- Protocols and APIs
- The platform says it is tuned for UCP and ACP and uses API-first delivery across commerce systems and channels.fabric.inc · read 3 Oct 2026
- Purpose
- Fabric builds a merchandising layer that helps brands show up when shoppers ask AI what to buy.fabric.inc · read 4 Oct 2026
