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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:
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