Challenge

Most stores have a catalogue, a search that fails synonyms, and a chatbot that cannot see the cart. Recommendations feel random. The assistant cannot complete a useful step. Analytics sit in another tool.

Concept

Intelligent Commerce is a concept for a store experience: discovery that works, recommendations that can be explained, a conversational assistant that knows the catalogue, payments that stay simple, and analytics the merchant can act on. It is a capability piece, not a named retailer case study.

Experience

The shopper finds a product by language they actually use. Recommendations show why. The assistant can compare two items or point to stock — then hand off to checkout. After purchase, the same system can answer “where is my order” from real data.

Technology

Storefront, search, catalog, checkout, and an AI layer for retrieval and conversation. Personalization uses the shopper's session and history with an opt-out. Payments stay with a proven provider.

Features

• Product discovery that understands intent, not only keywords
• Recommendations with a short reason
• Conversational shopping scoped to the catalogue
• Checkout and payments that do not change for the sake of AI
• Merchant analytics on search, assist, and conversion

Architecture

Commerce platform, search index, assistant with retrieval, and analytics. The cart and payment remain in the store system. The model does not invent prices or stock.

Outcome / Expected Value

Expected value is easier finding, fewer dead-end chats, and a store that still feels like the brand. Label this as a concept until a real commerce build can be shown with permission.

Ready to build something like this for a real product? Start a project or see the related service.