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radicalsoft

Reference project

AI Commerce Engine

A storefront, catalogue and merchant back office with an AI shopping assistant built in.

Person holding a payment card while shopping online on a laptop

Overview

What it is and the problem it addresses.

A reference design for an AI-native commerce platform. Shoppers can browse or simply describe what they want, while merchants manage catalogue, orders and campaigns from one admin.

The problem

Traditional stores rely on rigid category trees and keyword search. Shoppers with a need in mind rather than a product name struggle, and merchants lack tools to tune what shoppers see.

  • AI shopping assistant
  • Product discovery and recommendations
  • Catalogue and search
  • Cart and checkout
  • Storefront customisation
  • Merchant analytics

Main features

What the concept includes.

  • Conversational discovery

    The assistant answers from catalogue, stock and policy data, compares options and adds items to the cart.

  • Hybrid product search

    Keyword, semantic and visual search with facets and merchandising rules.

  • Recommendations

    Related, complementary and personalised suggestions that merchants can pin or exclude.

  • Cart and checkout

    Accessible checkout with saved methods, tax and shipping calculation and abandoned-cart recovery.

  • Storefront customisation

    Theme tokens, sections and templates editable without code changes.

  • Merchant analytics

    Funnel, search and product performance reports tied to real order data.

Architecture overview

How the pieces fit together.

  1. 01

    Storefront

    Server-rendered front end with a themeable component library.

  2. 02

    Commerce services

    Catalogue, pricing, cart, orders and inventory exposed as APIs.

  3. 03

    Search and AI layer

    Hybrid search index plus an assistant that calls catalogue and policy tools.

  4. 04

    Payments and fulfilment

    Licensed payment provider and shipping integrations through webhooks.

Example workflows

How it is used.

Guided purchase

  1. 1Shopper describes a need
  2. 2Assistant retrieves matching products
  3. 3Shopper compares and adds to cart
  4. 4Checkout through the payment provider

Merchant campaign

  1. 1Merchant selects a segment
  2. 2Engine suggests featured products
  3. 3Merchant approves
  4. 4Storefront updates and results are tracked

Target users

  • Online retailers
  • Brands launching direct-to-consumer stores
  • Marketplace operators

Potential integrations

  • Payment providers
  • Shipping and fulfilment
  • ERP and inventory
  • Email and CRM

Security considerations

  • Card data stays with the payment provider
  • Role-based merchant permissions
  • Assistant limited to catalogue and policy data
  • Audit log of admin actions
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Want something like AI Commerce Engine?

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