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Retail and ecommerce AI · United Kingdom AI that helps shoppers find, decide and come back.

Retail and ecommerce AI development for UK retailers and D2C brands: AI product search and recommendations, customer service assistants, content generation for catalogues and merchandising and demand insights.

Discuss your project

UK-registered company. International engineering team.

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Retail and ecommerce AI for UK businesses.

Retail margins are decided by small improvements at scale: a better search result, a faster answer about a delivery, a product description that actually describes the product. Krapton builds retail and ecommerce AI for UK retailers and brands that improve those moments, integrated with Shopify, headless commerce platforms and the operational systems behind the storefront.

We have built ecommerce sites and D2C brands on Shopify and Next.js, so we know where the data lives and where AI helps: discovery, service, content and the analysis that tells merchandisers what to do next.

  • Shopify and Shopify Plus
  • Headless commerce
  • Next.js
  • OpenAI and Anthropic
  • Vector search
  • Klaviyo and CRM
  • Zendesk and Gorgias
  • GA4

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Where it earns its keep.

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    AI search and recommendations

    Natural-language product search, semantic recommendations and “complete the look” logic from your catalogue and behaviour data.

  • 02 /

    Customer service assistants

    Order status, returns, sizing and product questions answered from live systems and policy, with hand-off to your team.

  • 03 /

    Catalogue content at scale

    Product descriptions, attributes and translations generated from source data and reviewed before publication.

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    Merchandising and demand insight

    Trend, stock and pricing signals summarised for the buying and marketing teams.

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Built to be trusted in production.

Evaluation before release, guardrails by design and people in control of the decisions that matter.

AI development overview

  1. 01

    Start with the numbers

    Conversion, contact rate, return rate and content throughput today, and which one an AI feature should move.

  2. 02

    Connect the data

    Catalogue, orders, stock, reviews and support history integrated cleanly, because AI is only as good as the data behind it.

  3. 03

    Build and A/B test

    Features shipped behind experiments so the impact is measured against a control, not assumed.

  4. 04

    Operate and refine

    Monitoring of quality, cost and customer feedback, with content and search continually improved.

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The decisions that shape the build.

Consumer-facing AI must be accurate about prices, stock and returns to comply with UK consumer law, so live system data rather than model memory is the source of every answer. Personalisation uses customer data under UK GDPR and PECR rules on consent.

What every AI engagement includes

  • A use case with a measurable result and representative examples
  • An evaluation set rerun on every prompt, model or data change
  • UK GDPR-aware data flows, with UK or EU hosting where residency matters
  • Human review and defined permissions for anything consequential
  • Cost and quality monitoring after launch

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Applied AI, connected to a real product.

Krapton’s own AI products, then a success story from our international portfolio describing the work delivered.

Zainab Essentials project visual

D2C E-commerce

Zainab Essentials

Zainab Essentials hand-pours small-batch soy-wax candles — 12+ scents, 7-day curing, 45+ hour burn times — but needed a storefront that could turn browsers into buyers across direct consumers, wholesale partners and bespoke wedding-gifting clients.

Read the success story

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Retail and ecommerce AI: questions UK teams ask.

Can you add AI to our Shopify store?

Yes. Search, recommendations, service assistants and content tools can be built as apps or integrations for Shopify and Shopify Plus, and for headless storefronts on Next.js.

Will an AI assistant give customers wrong information?

Not if it is built properly. Order, stock, price and policy answers come from your live systems and approved documents, not from the model’s memory, and unknown questions are handed to your team.

How do you measure whether AI features work?

With experiments. Features ship behind A/B tests against conversion, average order value, contact rate or content throughput, so you see the effect before rolling out fully.

Do you handle multiple languages and markets?

Yes. Catalogue content can be generated and reviewed in several languages, and search and assistants can be configured per market and currency.

What ecommerce experience do you have?

Our portfolio includes Zainab Essentials, Bone Horn Crafts, Stakeclash and MK Computers, built on Shopify and Next.js. Each case study describes the work delivered.

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Connect the capabilities.

Let’s scope your retail & ecommerce AI.

Bring the task, the examples and the systems involved. We’ll tell you what an evaluation set, a prototype and a first release would look like.

What are you thinking?