AI E-commerce

Your storefront conversion hasn't improved since you launched

I architect headless commerce platforms with intelligent search, personalization, and AI-driven optimization — built for speed, scale, and multi-brand portfolios.

01

Sound familiar?

If any of these hit close to home, you're not alone. This is where most technical leaders get stuck.

Your monolithic e-commerce platform is too slow and too rigid for the personalization your customers expect

Adding a second brand or market takes 6-12 months because everything is hardcoded for brand one

Your search returns irrelevant products and your recommendation engine is barely better than random

You know AI could improve conversions but your current architecture can't support it without a major rewrite

Definition

What is AI E-commerce?

AI-powered e-commerce architecture combines headless commerce platforms (decoupling frontend from backend via GraphQL) with AI capabilities like intelligent product search, personalized recommendations, dynamic pricing, and predictive inventory — enabling faster page loads, better conversion rates, and effortless multi-brand scaling.

02

How we work together

A structured process that reduces risk and gives you visibility at every step.

01

Architecture Audit

Assess your current e-commerce stack, identify bottlenecks, and map the highest-ROI opportunities for AI integration.

02

Headless Migration

Decouple your storefront from the backend with a GraphQL BFF layer, enabling independent frontend evolution and AI feature integration.

03

AI Layer

Implement intelligent search, personalized recommendations, and content automation — integrated with your existing product catalog and customer data.

04

Multi-Brand Framework

Design token architecture and component library enabling rapid brand portfolio expansion — reducing new brand launches from months to weeks.

03

What you get

Concrete deliverables, not vague promises.

01

Headless PWA storefront decoupled from backend via GraphQL — sub-second page loads

02

Design token architecture reducing second-brand onboarding from 9 months to 2 months (78% reduction)

03

CI/CD pipeline with blue/green zero-downtime deployments, cutting release cycles by 30%

04

AI-ready architecture supporting intelligent search, personalization, and content optimization

04

Technologies I work with

Next.js TypeScript GraphQL GraphCommerce Azure GitHub Actions Redis Design Tokens
Investment

Typical investment

Depends on scope, timeline, and complexity. Let's discuss your specific situation.

EUR 30,000 - 80,000

per project

05

Common questions

Ready to transform your storefront?

Let's have a 30-minute conversation about your challenge. No pitch, no pressure — just an honest assessment of whether this is the right approach for you.

Let's Talk on LinkedIn
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