Fabric CTO Ankush Goyal reveals how AI Search is transforming commerce discovery and why merchants need AI agents to compete effectively.

Topics Include:

• Fabric builds AI agents for commerce, solving merchant visibility challenges
• Commerce shifting due to AI Search channels and smaller retail teams
• Product Agent monitors and improves product visibility across AI channels
• PetMeds uses Fabric to optimize AI Search and automate SKU onboarding
• Fabric evolved from commerce platform company to AI agent solutions
• Agentic and generative AI work together to optimize product catalogs
• Fabric uses AWS EKS, Bedrock, S3, and Nova models heavily
• AWS partnership connects Fabric with industry leaders and growth opportunities
• AWS services enable reliable, cost-effective, and performant enterprise AI agents
• Prototyping agents is easy, but enterprise-grade reliability is extremely challenging
• Four key learnings: workflow reliability, context engineering, cost effectiveness, feedback loops
• CTOs should define agent goals, guardrails, context, and evaluations early
• Long-running workflow durability and snapshots prevent costly repeated work failures
• Future innovations focus on specialized models, retrieval frameworks, automated evaluations
• Merchants can evaluate AI Search performance at fabric.inc or LinkedIn

Participants:

• Ankush Goyal – Chief Technology Officer, Fabric

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