AI integration for Retail & E-Commerce
AI integrations, autonomous agents, and MCP-ready applications — built for the way software works tomorrow. Built for the challenges of Retail & E-Commerce companies.-businesses.
AI & Agents for Retail & E-Commerce: the sector and its challenges.
The line between physical and digital retail no longer exists. We help retail and e-commerce companies create webshops that perform as well as their best salesperson.
iDEAL processes more than 70% of all Dutch online payments. If your webshop doesn’t offer iDEAL, fast delivery options and a mobile-first experience — you lose sales to someone who does.
What we often see in Retail & E-Commerce
- Webshops on outdated platforms that are slow and difficult to manage
- High cart abandonment rates due to a poor checkout
- No integration between webshop and physical stock
- Poor mobile experience that loses mobile-first shoppers
- Payment and shipping options that don’t meet Dutch consumer expectations
Every retail company thinks it needs 'a webshop.' What they really need is a conversion machine. Template webshops all look the same and convert the same — poorly. Custom e-commerce means no compromises on what your customers see.
AI as a foundation — not a feature
Adding AI to a product isn’t the same as adding an AI button. Real AI integration means your application’s architecture is designed with agents, language models, and automation in mind — from day one.
We build applications that are agent-ready from the outset. Through the MCP protocol, AI agents can communicate directly with your platform: managing content, adjusting datasets, executing workflows. No loose plugin, no fragile connection — but an architecture that treats the agent as a first-class user of your system.
What we build
AI integrations that really solve something: text generation, classification, semantic search via pgvector, image analysis. Autonomous agents built with LangGraph that independently execute workflows — with memory, planning, and tool usage. MCP-ready applications so you or your clients can connect your own agent. AI translations baked into our dashboard — manage one language, the rest automatically. Agent-ready CMS so content management can happen without manual intervention.
Who is this for?
For companies wanting to deploy AI before falling behind. For teams looking to automate repetitive knowledge work. For SaaS products aiming to be agent-ready for their customers. And for anyone tired of AI demos without real implementation.
Concrete solutions for Retail & E-Commerce
This is how AI & Agents becomes concrete for Retail & E-Commerce.
Custom webshop with advanced filtering and search
iDEAL and multi-payment checkout
Real-time inventory management (online + physical stores)
Product configurators and personalization
Loyalty program integration
Automated order and shipping workflows
Mollie / Stripe (payments), PostNL / DHL / DPD (shipping), POS systems (Lightspeed / Square), ERP (Exact / AFAS), Inventory management tools, Loyalty platforms, Google Merchant Center
How we collaborate
Clear, honest, and predictable — from start to delivery.
Introduction
We discuss your situation, goals, and wishes. No obligations — just an honest conversation.
Plan & Quote
You receive a clear quote with what we build, when it will be ready, and the cost. Period.
Execution
We deliver. You keep control, we maintain quality. Direct communication, no middlemen.
Delivery & Support
Going live is the beginning, not the end. We are ready if anything comes up.
Let's talk about AI & Agents for Retail & E-Commerce.
When is AI & Agents the right choice?
- Your team performs repetitive knowledge work. Research, content editing, data analysis, customer communication — an agent can take over or speed this up.
- You want to make your product agent-ready. Customers with their own AI workflows want to control your platform. MCP makes this possible.
- You process large volumes of content or data. AI can classify, summarize, translate, and structure at scale — without the error margin humans have.
- You’re building something new and want AI as a foundation. Not adding AI later as an afterthought, but building from the start for the agent layer.