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SPECIFICTION
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Fabric Commerce Platform

fabric.inc

WebAPI
Visit fabric.inc
Spec score 7.7 #8 of 22 in Omnichannel Commerce Software

What it is

Fabric Commerce Platform is paid 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 compared with competitors, and what shoppers ask across ChatGPT, Perplexity, Gemini and Claude. Teams can enrich 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 build products for activation. Google Analytics connections and experiments support performance tracking. The platform lists integrations with systems including SAP, Adobe, Microsoft, NetSuite, Shopify, commercetools, Oracle, Salesforce, Akeneo, Salsify, inriver, Pimberly, Manhattan, Syndigo, Acquia and IBM. API-first delivery covers commerce systems, AI engines, social shopping and commerce pages; REST is listed. Cloud deployment, multi-store, B2B, marketplace and inventory support are listed. Fabric states encrypted data, customer isolation, granular permissions and human approval for every shipped change. Pricing is on request.

Spec sheet

What it does
Fabric describes itself as merchandising software that connects brands, product data, and systems to AI shopping engines so products can be recommended to shoppers.Read 3 Oct 2026 · fabric.inc
Purpose
Fabric builds a merchandising layer that helps brands show up when shoppers ask AI what to buy.Read 4 Oct 2026 · fabric.inc
Intended users
Fabric describes its audience as brands, retailers, and merchandising teams seeking to optimize how products appear across AI shopping channels.Read 3 Oct 2026 · fabric.inc
Deployment
Fabric says deployments can be completed in weeks and describes its customers as companies with tens of thousands of SKUs.Read 4 Oct 2026 · fabric.inc
Integrations
The platform lists connections to systems including Shopify, Salesforce, SAP, Adobe, Oracle, Akeneo, Salsify, and inriver.Read 4 Oct 2026 · fabric.inc
Security
Fabric says customer data is used only as instructed, not shared across customers, and protected with default masking of sensitive fields and encryption in transit and at rest.Read 4 Oct 2026 · fabric.inc
Headquarters
San Francisco and TorontoRead 28 Sep 2026 · fabric.inc
AI channels
The platform lists ChatGPT, Gemini, Claude, and Perplexity among the AI engines it connects with.Read 4 Oct 2026 · fabric.inc
AI visibility
Merchandising Studio monitors whether products are recommended by AI engines and how often they appear compared with competitors.Read 4 Oct 2026 · fabric.inc
Analytics
The studio supports connecting Google Analytics data to track performance over time and setting experiments to compare strategies.Read 4 Oct 2026 · fabric.inc
API access
Fabric describes its delivery as API-first for commerce systems, AI engines, social shopping, and commerce pages.Read 4 Oct 2026 · fabric.inc
Catalog enrichment
Fabric can enrich product descriptions, attributes, brand content, FAQs, and image alt text in line with brand guidelines.Read 3 Oct 2026 · fabric.inc
Catalog optimization
The studio can enrich product descriptions, attributes, brand content, and FAQs in line with brand guidelines.Read 4 Oct 2026 · fabric.inc
Controls
The platform offers granular permissions and human approval on every change that ships.Read 4 Oct 2026 · fabric.inc
Core product
Merchandising Studio monitors and optimizes a company’s performance on AI channels.Read 3 Oct 2026 · fabric.inc
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.Read 3 Oct 2026 · fabric.inc
Permissions and review
Fabric says it provides granular permissions and human approval for every change that ships.Read 3 Oct 2026 · fabric.inc
Pricing and support
The contact page invites questions about pricing and says a real person from the team responds without ticket queues or bots.Read 4 Oct 2026 · fabric.inc
Product onboarding
Fabric can read supplier sites, B2B portals, spec sheets, and files, then validate and build enriched products for activation.Read 4 Oct 2026 · fabric.inc
Protocols
Fabric says it comes tuned for UCP, ACP, and other changing protocols.Read 4 Oct 2026 · fabric.inc
Protocols and APIs
The platform says it is tuned for UCP and ACP and uses API-first delivery across commerce systems and channels.Read 3 Oct 2026 · fabric.inc
Scale
Fabric says it manages more than 10 million products and attributes and handles a billion API calls a year with 99.95% uptime.Read 4 Oct 2026 · fabric.inc
Shopper insights
The product surfaces shopper prompts and buying intent across AI engines, including ChatGPT, Perplexity, Gemini, and Claude.Read 3 Oct 2026 · fabric.inc
Support and pricing
Fabric directs product and pricing questions to its contact form and says a real team member responds without ticket queues or bots.Read 3 Oct 2026 · fabric.inc

Strong points and limits

Strong points

  • Tracks product recommendations in AI answers
  • Enriches catalog content under brand guidelines
  • Supports supplier and specification-file onboarding
  • API-first delivery with REST listed
  • Granular permissions and human approvals

Limits

  • Pricing requires contacting Fabric
  • Deployment is described as taking weeks
  • Competitor-visibility metrics depend on AI channels

Who it suits

It suits brands, retailers and merchandising teams seeking visibility in AI shopping results. Companies with large catalogues and multiple commerce systems can use its integrations and API-first delivery.

Verdict

Fabric focuses on merchandising performance where shoppers use AI to choose products. Review supported systems, channels and implementation timing with the company before committing.

Where Specifiction places it

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