AI Models
AI for Retail & E-Commerce

Personal shopping at planetary scale.

Product content, shopping assistants and customer service that feel personal — for every shopper, in every market.

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Retail & E-Commerce assistant
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The challenge

What holds retail & e-commerce teams back

  • Catalogue content gaps

    Thousands of SKUs, thin or inconsistent descriptions.

  • Shoppers who can’t decide

    Visitors leave when they can’t find the right product.

  • Support at peak season

    Order questions explode when it matters most.

Use cases

Six ways to put AI to work, today

Personal shopping at planetary scale.

  • Product descriptions

    Rich, SEO-friendly copy at catalogue scale.

  • Shopping assistant

    Guided discovery that recommends the right fit.

  • Order support

    Instant answers on shipping, returns and status.

  • Review insights

    What customers love and what they don’t.

  • Merchandising ideas

    Bundles, collections and seasonal themes.

  • Localisation

    Translate and adapt listings for new markets.

How it works

From first prompt to everyday workflow

  1. 01

    Import catalogue

    Products, attributes and policies.

  2. 02

    Enrich

    Generate descriptions and tags.

  3. 03

    Assist

    Deploy shopping and support assistants.

  4. 04

    Learn

    Analyse reviews and conversations.

Agents & skills

Agents built for retail & e-commerce

Give an agent a goal and it plans the steps, uses the skills you grant and reports back — with approvals wherever you want a human in the loop.

  • Product descriptions: Rich, SEO-friendly copy at catalogue scale.
  • Shopping assistant: Guided discovery that recommends the right fit.
  • Order support: Instant answers on shipping, returns and status.
Explore agents
Agent run · live

  1. Understand

    Intent & context

    Done

  2. Plan

    Break into steps

    Done

  3. Act

    Run skills & tools

    Running

  4. Deliver

    Verified result

    Queued
Outcomes

What changes when you switch it on

  • Outcome 1

    Better discovery

    Shoppers find what they want faster.

  • Outcome 2

    Content at scale

    Every SKU described beautifully.

  • Outcome 3

    Calmer peaks

    Routine questions handled automatically.

Under the hood

Foundational models, plus proprietary architecture

Every leading open model family, made sharper by the layer we built around them.

  • Routing

    The best model for each request, automatically.

  • Memory

    Your retail & e-commerce context, remembered securely.

  • Skills

    Search, read, write and call your own tools.

  • Agents

    Goal-driven workers with guardrails.

Security posture

All controls healthy

Continuously monitored

  • Encryption in transit & at rest
  • SSO & scoped API keys
  • Audit logs for every action
  • Your data never trains shared models
Security & control

Enterprise-grade from day one

  • Your data is never used to train shared models
  • Encryption in transit and at rest
  • Roles, scoped API keys and approval steps
  • Audit logs, SSO and private deployment options on higher plans
Read about our security →
FAQ

Retail & E-Commerce questions, answered

Can it write for thousands of products?

Yes. Use the API or agents to enrich your catalogue in batches.

Will recommendations use live stock?

Yes, if you connect inventory via a skill or the API.

Does it support many languages?

Yes, ideal for cross-border commerce.

Can it handle returns questions?

Yes, grounded in your policies, with hand-off to humans.

Bring AI to retail & e-commerce — today

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