STOREFRONT AI

An AI shopping assistant for every shopper

Storefront AI is Yarnit's AI sales rep for ecommerce. It understands what each shopper needs, recommends and compares the right products, builds the basket and moves the customer into checkout - using your catalog, customer context, inventory, prices and offers.

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Trusted by marketing teams shipping across brands, markets and channels every week

How it works

From shopper intent to checkout.

Storefront AI follows the conversation from an expressed need to a purchase-ready cart, using commerce context at every step.

Interpret the shopper's occasion, need, preferences and constraints, then ask only the questions required to narrow the choice.

Diagram showing data flow from Agents, Developers, and Users into a container labeled with Developers Data, Agents Data, Users Data, and Resource Data.

Find eligible products, compare the strongest options and explain why each recommendation fits the shopper's request.

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Use product relationships, compatibility, styling rules, stock, price and offers to assemble a complete look, routine, kit or basket.

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Create or update the cart, retain accepted choices and move the shopper into the retailer's governed checkout experience.

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Products

Commerce intelligence behind every conversation

Four connected capabilities help Storefront AI understand the shopper, reason across the assortment and take governed commerce actions

Shopper Context

Continuous catalog intelligence for enrichment, attribute generation, PDP optimization and puInterprets intent, preferences, fit, constraints and conversation state. MemorA can retain permitted preferences and useful continuity across the journey. blishing — helping products become easier for shoppers and AI systems to understand.

Product Intelligence

Uses enriched product attributes, relationships, inventory, pricing, promotions and merchant rules. CatalogIQ can strengthen the intelligence underneath.

Selling Reasoning

Selects, compares and explains products; applies compatibility, styling, bundle and category logic; and improves recommendations as the shopper responds.

Commerce Actions

Builds baskets, creates and updates carts, preserves accepted decisions and hands the shopper into the retailer's governed checkout flow

How it connects

Help shoppers move from need to purchase

Use Storefront AI across the moments where product choice, confidence and convenience influence conversion

Guided Discovery

Turn occasions, needs, preferences and constraints into a focused set of relevant products.

Personalized Recommendations

Use conversational intent and permitted customer context to rank products for the individual shopper.

Product Comparison

Explain meaningful differences, trade-offs and reasons to choose across the strongest eligible options.Availability, offers and margin signals

Fit and Compatibility

Guide decisions using size, fit, ingredients, specifications, use cases and product compatibility.

Complete the Basket

Build a look, routine, kit, bundle or mission-based basket and let the shopper refine individual items.

Cart and Checkout

Create or update the cart, retain accepted choices and move the shopper into the approved checkout flow

Powered by the Yarnit Platform — YaOS, Memora and Contextual Intelligence provide the shared orchestration, memory and context foundation behind the suite.

Explore the Yarnit Platform

AI for Commerce

Make your commerce stack intelligent.

Start with one product. Connect the journey over time.

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