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.
UK-registered company. International engineering team.01 / THE OPPORTUNITY
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.
02 / Use cases
AI search and recommendations
Natural-language product search, semantic recommendations and “complete the look” logic from your catalogue and behaviour data.
Customer service assistants
Order status, returns, sizing and product questions answered from live systems and policy, with hand-off to your team.
Catalogue content at scale
Product descriptions, attributes and translations generated from source data and reviewed before publication.
Merchandising and demand insight
Trend, stock and pricing signals summarised for the buying and marketing teams.
03 / Our approach
Evaluation before release, guardrails by design and people in control of the decisions that matter.
AI development overview- 01
Start with the numbers
Conversion, contact rate, return rate and content throughput today, and which one an AI feature should move.
- 02
Connect the data
Catalogue, orders, stock, reviews and support history integrated cleanly, because AI is only as good as the data behind it.
- 03
Build and A/B test
Features shipped behind experiments so the impact is measured against a control, not assumed.
- 04
Operate and refine
Monitoring of quality, cost and customer feedback, with content and search continually improved.
04 / Before you start
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
05 / From the portfolio
Examples from Krapton’s international portfolio. Each success story describes the work delivered for that project.
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 storyFAQ
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.
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.
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.
Yes. Catalogue content can be generated and reviewed in several languages, and search and assistants can be configured per market and currency.
Our portfolio includes Zainab Essentials, Purelay Water, Teflon Bone, Stakeclash and MK Computers, built on Shopify and Next.js. Each case study describes the work delivered.
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YOUR NEXT STEP
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.