Analysis · Commerce & Consumer Brands

Yarnit CEO discusses agentic commerce and AI discoverability

What they do

Yarnit helps ecommerce brands enrich product data and generate contextual content

Jyotirmoy Dutta, co-founder and CEO, spoke about agentic commerce and AI discoverability

Agentic commerce means AI assistants research and buy for consumers; brands must optimise for AI systems

Jyotirmoy Dutta, co-founder and CEO of Yarnit, discussed agentic commerce and AI discoverability for ecommerce brands.
Agentic commerce means AI assistants research, compare, and complete purchases for consumers.
Brands must communicate clearly with AI systems using structured information, context, and trust signals.
Protocols ACP and UCP are early efforts to standardise how an agent completes a purchase after a decision.

Yarnit positions itself as an intelligence layer for next-generation commerce.
Its products help brands make products discoverable to both humans and AI systems.
The interview highlights a shift from traditional SEO to AI-driven discoverability.

Yarnit is an intelligence layer for next-generation commerce.
It helps brands enrich product data, generate contextual content, and make products discoverable.
Its product CatalogIQ autonomously enriches catalogues for AI discoverability.
CatalogIQ fills gaps, generates comparative and contextual content, and keeps data current without manual rework.
Its product Creative OS generates on-brand creative and campaign assets at scale and fast.
Yarnit uses data-driven enhancements based on signals like search behaviour, competitor activity, and seasonality.
Its agents identify changes in real time.