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// Industry

E-commerce AI development

AI for e-commerce — support automation, search, and personalization that convert without going off the rails.

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// The problem

Why this is hard

In e-commerce an AI that's wrong doesn't just annoy — it refunds an order it shouldn't, recommends the wrong product, or makes a promise you have to honour. The value is real (support deflection, better search, personalization), but only if the automation is bounded: it acts on what it's sure of and escalates the rest, and it stays fast when a sale spikes traffic.

// What matters here

The capabilities that move the needle

AI Agents & Automation

Support and post-purchase automation with scoped tools + human-in-the-loop, so it resolves the routine and escalates the rest instead of guessing.

RAG & Knowledge Systems

Answers grounded in your catalog, policies, and order data — so support and search cite real facts, not plausible ones.

LLM Integration & Evals

Search, recommendations, and content behind an eval suite, so a personalization change is measured against conversion, not vibes.

MLOps & Infra

Autoscaling, caching, and cost controls that hold up through a launch spike or a seasonal peak.

// Proof

Shipped in production

E-commerce — Support agent

tickets auto-resolved

47%

of incoming tickets, end-to-end

first-response time

-38%

vs. the pre-agent baseline

Read the case study

// FAQ

Common questions

Yes — the agent is scoped to sanctioned actions (it can look up an order, not silently refund one), validates every step, and escalates anything ambiguous to a human with full context, so automation stays bounded to what it does reliably.

We gate changes on an eval set and measure against real conversion metrics, so a tweak that helps one segment and hurts another is caught before it ships — not discovered in the monthly numbers.

We keep the model off the critical path where it can't be fast enough, cache hot paths, and autoscale the workers, so AI features add value without adding latency when traffic surges.

// Related

All industries

// Let's build

Building AI for e-commerce?

Tell us where you are. We reply within a day with a concrete next step.