Chatsi Solutions

Let shopper needs guide your next move.

Your customers reveal opportunities in what they ask, compare, and cannot find. Bring those signals together to prioritize clearer information, better offers, and future product ideas.

How it works

Chatsi is an AI shopping assistant for ecommerce stores. For shopper understanding, Growth Insights groups the questions and behaviors shoppers share into themes, so teams can improve product information and spot unmet demand.

Chatsi works with Shopify, Salesforce Commerce Cloud, Adobe Commerce (Magento), BigCommerce, WooCommerce and Miva.

  1. Understand recurring buying barriers

    Growth Insights groups related questions and behaviors so teams can see patterns beyond individual sessions. Identify products and explanations that deserve attention.

  2. Find what your assortment is missing

    Explore repeated requests for sizes, features, combinations, or services. Bring customer language into merchandising and product planning.

  3. Close the learning loop

    Use findings to prioritize content enrichment and refine category guidance. Follow subsequent interactions and outcomes to evaluate whether the changes helped.

Example workflow

  • A shopper asks: Is there a smaller option for travel?
  • A shopper asks: Does this come in a carry-⁠on size?
  • A shopper asks: Anything more compact for flights?
Theme

Demand for a travel-⁠size version

Research brief
Hypothesis
Shoppers want a travel-⁠size version of the line.
Next step
Test demand with existing shoppers before any sourcing.

Test before launch

Explore connected Chatsi capabilities

  • Product

    Growth Insights

    Discover shopper needs, buying barriers, and opportunities to grow.

  • Product

    Agentic Content Enrichment

    Fill product knowledge gaps using documents, images, and trusted data.

  • Product

    Vertical Playbooks

    Apply industry-specific expertise to product guidance and selling conversations.

Related solutions:Other IndustriesApparel & Fashion

Frequently Asked
Questions

What ecommerce teams ask about this solution.

Conversations reveal the needs behind requests, giving teams context for investigating potential new products, variants, and services.
Consider recurrence, the buying barrier involved, the quality of supporting evidence, and the effort required to test a useful response.
Shopper questions, conversations, and on-site actions such as what shoppers compare and cannot find. Related requests are grouped into themes, so patterns show beyond individual sessions.
Each theme points to a next step: clearer product information, a merchandising change, or a research brief to test demand for a new product before any sourcing decision.

See how Chatsi fits your store.

Bring your catalog, customer questions, and goals. Let’s explore the right combination of Chatsi capabilities for your buying journey.