AI in ecommerce and retail.
We build AI in ecommerce and retail operations where margins are thin and volumes are high: search that understands shoppers, product data built from supplier files and order flows between shop, marketplace, ERP and warehouse. Your merchandisers, buyers and service staff approve what changes.
Industries in retail and e-commerce
The work, and where software fits
Retail runs on product data, orders and customer questions, spread across a shop platform, marketplaces, a PIM, an ERP and a warehouse system. Most teams connect them with exports, spreadsheets and a lot of manual checking, and that work grows with every new channel or supplier.
AI in ecommerce and custom software earn their place where they remove the repetition: enriching and translating product data, answering order questions from live data, moving orders and stock between systems and helping shoppers find the right product. We build on your existing platforms and keep people approving prices, product claims and refunds.
What we build for retail and e-commerce
Product search and discovery
Semantic search and recommendations that understand how shoppers describe what they need, combined with keyword matching for brands, sizes and SKUs.
Product data at catalogue scale
Supplier files turned into complete, translated product content in your PIM, with a merchandiser approving before anything is published.
Order and service questions
Agents that answer order, returns and product questions from live order and carrier data, handing over to your team when a case needs a person.
Channel and marketplace operations
Stock, prices and orders kept in sync across your shop, Bol.com, Amazon and retail partners through integrations we build and maintain.
B2B ordering
Order intake from email, PDF and EDI into the ERP, and portals where business customers reorder at their own prices.
Related work
Further reading
Embeddings explained: a practical guide for product teams
How embeddings power semantic search, how to choose a model and a vector store, and how to measure whether your results improved.
5 min read
PDF data extraction with LLMs: invoices and forms
How to use LLMs for PDF data extraction: turning invoices and forms into reliable structured data with schemas, validation and a review queue for the cases that need a person.
5 min read
How to build a RAG chatbot people can trust: a practical guide
What it takes to turn a promising RAG experiment into a chatbot people trust: ingestion, hybrid search, citations, permissions and evals.
6 min read
Common questions
Rarely. We build apps, integrations and services around Shopify, Adobe Commerce, WooCommerce or Lightspeed through their APIs. A replatform is worth discussing only when the platform itself blocks what the business needs.
Content is generated from supplier data and PIM attributes, checked against rules for claims, dimensions and required fields, and approved by a merchandiser before publication. We log the source of each attribute so errors can be traced.
It has applied to e-commerce services for consumers since June 2025, with an exemption for microenterprises. Storefront, portal and checkout features we build follow WCAG criteria, and we can review your existing flows.
In your own platforms and EU cloud regions. Service agents fetch order data at the moment they need it, and we minimise the personal data that reaches a model.