E-commerce & Retail AI solutions.

E-commerce AI solutions for product search, recommendations and shopping assistants, built on headless storefronts that stay fast and survive peak season without a code freeze.

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What makes e-commerce AI hard.

The e-commerce AI challenges we design for before any code is written, so the AI holds up with real users, real data and real auditors.

Relevance sells

Search and recommendations that understand intent, judged by conversion in A/B tests, not by how good the demo looked.

Speed is revenue

Every 100ms of LCP shows up in conversion. Performance budgets in CI and load tests before each sale keep pages fast at peak.

Replatforming risk

Moving off a monolith while trading means phased cutovers and dual-running, with no downtime window and no pause in revenue.

E-commerce AI solutions we build

The AI use cases we build for e-commerce teams, and the software platforms they run on. Each starts from a measurable goal, passes an eval gate before launch and reaches users through a gradual rollout.

The model work comes from our LLM and AI agent development team, tested by QA and AI evaluation. For results in production, browse our AI case studies.

Compliance we plan for

PCI DSS
GDPR
WCAG 2.2 AA

✓AI product search and recommendations
✓Shopping assistants and conversational commerce
✓Generated product copy and catalog enrichment
✓Headless storefronts on Next.js
✓Shopify, Magento and custom commerce backends
✓Checkout, subscriptions and payments optimization

E-commerce software, shipped.

A recent e-commerce engagement and the numbers the client measured. Names withheld where clients asked us to.

Headless replatform

Magento to headless on Shopify + Vercel in 9 weeks. LCP 6.3s → 1.4s. Revenue per session up 22% in the first quarter post-launch.

Browse AI case studies

E-commerce AI development services.

The WAMO Labs services most e-commerce AI engagements draw on, from LLM integration to the platform around it.

AI integration

Our AI integration services put LLM applications, AI agents and RAG systems into the products and workflows you already run. Measured by evals, guarded in production, with a cost per request you can predict.

E-commerce

E-commerce development for fast custom storefronts with AI search and personalization built in. Headless commerce, conversion-tuned checkout, and merchandising your team runs without a developer.

Custom web

Custom web application development for fast, AI-ready platforms that scale with traffic, data and your team. Copilots, smart search and clean APIs are part of the architecture, not a bolt-on.

Questions about e-commerce AI projects.

Timelines, cost drivers and compliance, answered plainly. More on how we build and evaluate AI in our AI engineering insights.

Which e-commerce AI use cases do you build?

E-commerce AI projects we build include AI product search and recommendations; shopping assistants and conversational commerce; and generated product copy and catalog enrichment. Each one ships with a versioned eval set, guardrails and a gradual rollout, on the platform work listed above.

How long do e-commerce AI projects take?

Most engagements start with a four-week immersion. By week 3 a first slice is live behind a feature flag for a small share of users, evaluated and instrumented. By week 4 you have a quarter-by-quarter roadmap with named owners. Full timelines depend on scope, integrations and compliance review.

What drives the cost of e-commerce AI solutions?

Four things: the systems we integrate with (your commerce platform, catalog and payment providers), the compliance scope (PCI DSS, GDPR and WCAG 2.2 AA), how much evaluation and human review the use case needs, and inference volume, because cost per request compounds with usage. We size all four during the four-week immersion, so you know what it costs to keep going before you commit to a roadmap.

How do you handle compliance and data privacy in e-commerce AI?

We plan for PCI DSS, GDPR and WCAG 2.2 AA from the first sprint and decide which data may ever reach a model provider before anything is built. Every AI feature ships with access controls, an audit trail and human review wherever a wrong answer carries real risk.

Building AI in E-commerce & Retail?

Tell us the AI use case or product you're working on. We respond within one business day, with a real human and a real opinion.

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