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radicalsoft

AI-Powered E-Commerce

Commerce that understands what shoppers are asking for.

We build online stores and commerce platforms where search, recommendations and conversation are part of the foundation. The result is faster product discovery for shoppers and clearer control for merchants, on architecture you can extend.

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What we build

What this service covers, in detail.

Headless storefronts, AI shopping assistants, recommendations and merchant tools for modern commerce.

  1. 01

    AI shopping assistants

    Conversational helpers that answer questions, compare products and add items to the cart using live catalogue data.

  2. 02

    AI-native commerce frameworks

    Storefront architecture designed so search, content and recommendations are replaceable, observable services.

  3. 03

    Headless commerce

    Decoupled front ends on fast frameworks over commerce APIs, so design and back office evolve independently.

  4. 04

    Product search and recommendations

    Keyword, semantic and visual search, plus recommendation logic tuned to your catalogue and margins.

  5. 05

    Catalogue management

    Products, variants, bundles, pricing rules and media managed in one reliable back office.

  6. 06

    Storefront themes

    A coherent component library and theming system so each brand or store looks distinct.

  7. 07

    Cart and checkout

    Fast, accessible checkout flows with address validation, taxes, shipping options and recovery.

  8. 08

    Payment provider integrations

    Cards, wallets and local methods connected through licensed providers, with webhooks handled reliably.

  9. 09

    Merchant administration

    Dashboards for orders, inventory, customers and fulfilment that non-technical staff can run.

  10. 10

    Multi-vendor and B2B

    Marketplace onboarding, vendor payouts, wholesale pricing, quotes and account hierarchies.

  11. 11

    Commerce analytics

    Funnel, cohort and merchandising reports tied to real order data.

  12. 12

    Agent-ready commerce

    Structured product data, feeds and APIs that AI assistants and shopping agents can read, compare and act on.

Example use cases

Where teams put this to work.

  • 01

    Replatforming to headless

    Move a slow monolithic store to a fast front end while keeping the existing commerce engine.

  • 02

    Multi-vendor marketplace

    Onboard sellers, split payments and give each vendor a dashboard of their own.

  • 03

    B2B ordering portal

    Account pricing, reorder lists and approval flows for wholesale customers.

  • 04

    Guided product discovery

    An assistant that narrows a complex catalogue, such as technical parts, to the right product.

Technical approach

Tools we typically use here.

A starting point, not a mandate. We adapt to your existing stack and constraints.

How we choose technology
  • Next.js
  • React
  • TypeScript
  • Node.js
  • PostgreSQL
  • Elasticsearch / pgvector
  • Stripe and regional PSPs
  • Headless commerce engines

How it works

The engagement, step by step.

  1. 1

    Catalogue and journey audit

    Understand products, data quality, customer journeys and the systems the store must integrate with.

  2. 2

    Architecture and selection

    Choose between existing platforms and custom builds on evidence, not preference.

  3. 3

    Design system and storefront

    Build the component library and key templates, tested for speed and accessibility.

  4. 4

    Search, AI and integrations

    Add search, recommendations, assistant, payments and back-office connections.

  5. 5

    Launch and tune

    Staged rollout, monitoring and merchandising iteration from real behaviour.

FAQ

Frequently asked questions

Do we have to leave our current e-commerce platform?

Not necessarily. Many projects add search, an assistant or a new front end on top of an existing commerce engine.

Is the AI assistant limited to our catalogue?

Yes by design. It answers from your product, stock and policy data and hands off to a person when it cannot.

Can you build a marketplace?

Yes, including vendor onboarding and payouts, using a licensed payment provider that supports split payments.

Projects

Reference projects that show this in practice.

Systems we designed as demonstrations, using sample data. Each has features, architecture and security notes.

See all projects

Related capabilities

Often combined with

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