Skip to content

AI in retail. For retailers and e-commerce brands.

Product content, customer service, demand insights and back-office work with Claude, with every claim checked and every use governed under the EU AI Act.

30 minutes with a solution architect.

In short

How is AI used in retail and e-commerce, and how does Solorai help?

Retailers and e-commerce brands use AI models such as Claude to write product content, answer customers, analyse demand and automate back-office work, with people approving what customers see. Solorai sets up Claude Enterprise for retail teams, builds AI agents for commerce workflows and governs their use under the EU AI Act and consumer protection rules.

Written and reviewed by Solorai

to assess your use cases and data
2 weeks
people, at most, in a first pilot
50
to roll out to up to 250 people
6 to 8 weeks

What can retailers and e-commerce teams do with Claude?

The six uses retail teams usually start with. Content and service teams approve what customers see, and every product claim is checked against its source.

  • E-commerce teams

    Product content

    Write product pages from supplier data in every language you sell in, with each claim checked against the supplier sheet.

  • Service teams

    Customer service

    Draft answers about orders, returns and products in the customer’s language, and hand over to an agent when needed.

  • Buying and merchandising

    Demand and assortment insights

    Summarise sales data, reviews and return reasons into insights for buyers and category managers.

  • Catalogue teams

    Catalogue data checks

    Check supplier files for missing or inconsistent data before products go live.

  • Marketing and legal

    Marketing claims review

    Check campaigns and product copy for unsupported claims, including environmental claims, before they are published.

  • Store teams

    Store staff support

    Answer store staff questions about procedures, products and promotions from your own manuals.

Confidentiality and compliance

How does AI in retail stay compliant?

Customers must be able to trust what you say about your products. These are the controls we put in place before the first product page or customer answer goes out.

  • Customer data under your control

    Work runs in your own Claude Enterprise organisation, with single sign-on, roles and data policies. Under Anthropic’s commercial terms, your content is not used to train models by default.

  • Claims checked against sources

    Product claims come from supplier sheets, test reports and certificates. Since 27 September 2026, EU consumer law bans generic environmental claims such as “eco-friendly” without recognised proof.

  • People approve

    Content and service teams approve what customers see. AI agents hand over to a person for complaints, refunds and anything unusual.

  • Classified under the EU AI Act

    We classify each use before it goes live. A shopping assistant must tell customers it is an AI, and evaluating staff by their behaviour is high-risk.

EU AI Act classificationExamples for this sector

Unacceptable risk

Banned since 2 February 2025, such as social scoring or emotion recognition at work.

High risk

  • Allocating shifts or evaluating staff by their behaviourHigh-risk obligations, Annex III, employment
  • Screening job applicantsHigh-risk obligations, Annex III, employment

Limited risk

  • A shopping assistant or service chatbotTell users they are talking to an AI system

Minimal risk

  • Product content, insights and catalogue checksAI policy and AI literacy measures for staff

Obligations for the high-risk uses listed in Annex III apply from 2 December 2027, as amended by Regulation (EU) 2026/1744. We classify every use before it goes live.

How we deliver

How does Solorai deliver AI in retail?

The same three services as in every engagement, set up for the rules of this sector.

  • Claude Enterprise

    Claude for content, service, buying and store teams: single sign-on, roles, data policies, connectors to your catalogue and service tools and training on real work.

    Claude Enterprise services
  • AI agents

    One agent per workflow, such as product page drafts, order enquiries or supplier file checks, monitored, logged and approved by a person.

    AI agent services
  • EU AI Act and governance

    An inventory of every AI use, risk classification under the EU AI Act, an AI policy that covers product claims and training for staff.

    EU AI Act compliance services

Where to start

  1. AI readiness assessment

    About 2 weeks

    We map your catalogue, channels and service flows, and pick the uses with the clearest value.

  2. Pilot

    Up to 50 people

    One team works on real products or real tickets, with success criteria agreed before the start.

  3. Rollout

    6 to 8 weeks

    Claude goes to the teams in scope, with connectors, playbooks and training.

FAQ

AI in retail, in short

How is AI used in retail?

Retailers use AI models such as Claude to write product content, answer customers, analyse sales and returns, check supplier data and support store staff. Teams approve what customers see.

How can e-commerce companies use AI?

E-commerce teams use AI to write product pages in several languages, answer order and returns questions, check catalogue data before products go live and review marketing copy for unsupported claims.

Can AI write product descriptions that stay compliant?

Yes, if every claim comes from a source. Claude drafts from supplier sheets, test reports and certificates and flags claims it cannot support. Since 27 September 2026, EU consumer law bans generic environmental claims such as “eco-friendly” without recognised proof.

Does a shopping chatbot need to say it is an AI?

Yes. Under the EU AI Act, people must be told when they are interacting with an AI system, unless it is obvious. We build that into every shopping assistant and service agent.

Is AI in retail high-risk under the EU AI Act?

Most retail uses are not. Product content, insights and catalogue checks are minimal risk, and chatbots must disclose that they are AI. Allocating shifts or evaluating staff by their behaviour, and screening job applicants, are high-risk, with obligations from 2 December 2027.

How does a retailer start with AI?

With an AI readiness assessment of about 2 weeks, then a pilot with one team of up to 50 people, then a rollout of 6 to 8 weeks to the teams in scope.

AI for your retail business. Start with a 30-minute briefing.

Tell us about your catalogue, channels and goals. We will reply with a clear next step.