Yarnit AI for Commerce helps retailers and ecommerce brands improve product discovery, conversion and retention with AI across catalog intelligence, AI search, guided selling, campaigns, creative and customer experience.
One suite spanning how products are understood, discovered, considered, bought and supported.
Productized AI capabilities designed for the critical moments of the ecommerce and retail journey.
AI is changing how shoppers discover products, evaluate choices and move toward purchase.
Yarnit connects product, customer and operational signals to AI experiences across owned channels, marketplaces and AI shopping surfaces.
Storefront, checkout and product systems
Product data and attributes
Availability, offers and margin signals
Customer and audience context
Search, trends, competitors and AI visibility
Enrichment and PDP intelligence
AI discovery and product feeds
Intent and guided selling
Audience and campaign intelligence
Creative and post-purchase experience
Owned commerce experiences
Emerging discovery surfaces
Third-party commerce channels
Discovery and intent capture
Email, messaging and customer service
Powered by the Yarnit Platform — YaOS, Memora and Contextual Intelligence provide the shared orchestration, memory and context foundation behind the suite.
Commerce AI measured against the outcomes that matter.
Use individual products or connect the suite across your commerce stack.
Start with individual Yarnit products and connect them to your existing storefront and commerce stack.
Deploy individual capabilities or the full suite across brands, markets and enterprise systems.
Get clear answers to the questions we hear most so you can focus on what truly matters.
It identifies formulaic transitions, repetitive sentence structures, generic phrasing, tone patterns, and other signals that make AI-generated writing feel mechanical, then rewrites them while preserving the original meaning.
No. The Humanizer is designed to preserve important SEO keywords and search intent while improving the natural flow and readability of the content.
Yes. Yarnit uses brand voice guidelines, audience context, SEO requirements, and content analysis to inform how the content is rewritten, rather than applying the same writing style to every piece.
Instead of a single-pass or word-level rewrite, Yarnit uses specialized agents to detect and address linguistic, structural, tone, and content-level patterns before rewriting and validating the output.
Yes. It is designed for teams handling high content volumes, with unlimited content processing, bulk transformation, and real-time processing.
Start with one product. Connect the journey over time.
Giving shape to intelligence
