Core service

An AI shopping assistant that moves from questions to cart actions.

A branded storefront widget that helps shoppers discover products, verify availability, compare options, and take action without leaving the conversation.

What it feels like

An ecommerce-specific assistant, not a generic chatbot.

It knows the catalog, understands store policies, and has access to the actions shoppers care about. That is what turns chat into a real part of the buying journey.

Primary workflows

Use cases that matter on real storefronts.

Conversational product discovery

Narrow large catalogs with natural language, preference capture, and merchandising-aware suggestions.

Add-to-cart directly from chat

Show product options in conversation and hand the right variant into the cart flow when the shopper is ready.

Inventory, variants, and policy checks

“Is this in stock?”, “Does it ship today?”, “What is your return window?” — answered with storefront-aware context.

Cross-sells and bundle prompts

Surface attachments, complementary products, and higher-intent bundles based on the question being asked.

Service and post-purchase support

Handle order status, shipping, returns, and common support without splitting the journey into separate tools.

Escalation when confidence is low

Hand off edge cases to a human, ticket queue, or support inbox instead of forcing a bad automated answer.

Inputs that shape quality

Product catalog structure, merchandising logic, and collection context.
Live or near-live inventory and variant availability.
Shipping, returns, sizing, FAQs, and support policy content.
Store-specific tone-of-voice and escalation rules.

Operational guardrails

Fallback responses and human escalation paths when confidence is low.
Clear boundaries around what the assistant can and cannot do autonomously.
Instrumentation on the questions shoppers ask before and after launch.
Iteration loops to refine recommendations, prompts, and support coverage.