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Chatsi for B2B & Technical Commerce

Make specification-driven buying easier to navigate.

Help buyers find products using application requirements and technical questions. Bring detailed documentation into a discovery experience that explains relevant options and what must be verified.

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How it works

Chatsi is an AI shopping assistant for ecommerce stores. For B2B and technical commerce, AI Search, AI Knowledge Hub and Agentic Content Enrichment turn datasheets and specifications into searchable product attributes that buyers can match to their requirements.

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

  1. Connect documents with catalog knowledge

    Agentic Content Enrichment extracts and validates relevant details from manufacturer specifications and other sources. AI Knowledge Hub makes that information useful across discovery.

  2. Search by application requirements

    Let buyers describe constraints, component characteristics, or intended use. AI Search helps identify relevant options and explain differences.

  3. Make the next step clear

    Use category guidance to surface missing requirements and support an informed product discussion. Keep technical evidence accessible when a specialist needs to confirm suitability.

Example shopping conversation

  1. I need sensors for this operating range: −20 to 60 °C.

  2. I can narrow that down. What supply voltage are you running, and where will they be mounted?

  3. 24 V DC, on a food line that gets washed down every day.

  4. For daily wash-down you’ll want IP69K. Two inductive sensors in the catalog cover −20 to 60 °C at 24 V DC, and their datasheets confirm it; only the M18 is rated IP69K.

    Your requirements−20 to 60 °C24 V DCDaily wash-down
    M12 sensorM18 sensor
    Temperature−25 to 70 °C−25 to 70 °C
    Supply10–30 V DC10–30 V DC
    RatingIP67IP69K
    Datasheetp. 3p. 2
    For daily wash-down: M18, rated IP69K

Explore connected Chatsi capabilities

  • Product

    Agentic Content Enrichment

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

  • Product

    AI Knowledge Hub

    Connect your product data and brand expertise in one AI knowledge foundation.

  • Product

    AI Search

    Turn natural-language searches into relevant products and useful guidance.

  • Product

    Vertical Playbooks

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

Related solutions:Complex Catalogs & Product CompatibilityAI Discoverability & Catalog Readiness

Frequently Asked
Questions

What ecommerce teams ask about this solution.

Chatsi can connect requirement-based queries with detailed catalog knowledge and explain relevant specifications in context.
Agentic Content Enrichment can extract relevant product details from documents and connect them with the shared knowledge foundation.
Yes. AI Search matches requirement-based queries, such as a pressure range or a supply voltage, against product attributes, and shows which values the documentation confirms.
Agentic Content Enrichment standardizes extracted values and records their source document and page, so buyers and your team can check where each attribute came from.

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.

Book a Demo