Store platforms
Shopify, WooCommerce, BigCommerce, and custom storefronts — the main launch focus for widget placement and catalog-aware experiences.
Platform coverage
Connect the assistant to the data and tools your store already uses.
The service starts broad across ecommerce storefronts, but each engagement is scoped around the sources and actions your assistant needs to be useful.
ShopifyWooCommerceBigCommerceHeadless storefronts
Coverage areas
Where the assistant plugs in.
Content and policy sources
FAQs, shipping and returns pages, help docs, size guides, and merchandising notes all feed the assistant.
Operational actions
Product lookup, variant checks, cart actions, order-status workflows, and human escalation hooks where needed.
What “ingestion” means
- Loading the product catalog and structured merchandising context.
- Connecting knowledge sources that answer store-specific support questions.
- Normalizing policies and operational rules for consistent answers.
- Creating a clear boundary between read-only answers and tool-driven actions.
What we add over time
- CRM or helpdesk handoff once high-intent conversations need a person.
- Session analytics that show question volume, friction, and cart influence.
- Promotion, bundle, or merchandising logic tied to campaign priorities.
- Localization and multilingual response behavior for global storefronts.
Starting point
Start with the minimum tool set that makes chat useful.
The first pilot doesn't need every integration. It needs enough connected context to answer accurately, recommend confidently, and create a smooth path to conversion.
- Catalog + availability + policies is often enough to launch a strong first version.
- Add cart actions once the recommendation and selection flow feels trustworthy.
- Layer in post-purchase support after the pre-purchase flow is stable.
- Use analytics to decide what to connect next instead of integrating everything up front.