AI Consultant for Ecommerce for Hire
that lifts revenue, not just novelty

Usually AI search or support automation — clear baselines (null-result rate, ticket volume), fast payback. Recommendations follow once behavioral data flows. Ranked for your store in the audit.

Not when done right: unique, structured, genuinely useful copy — the opposite of thin auto-generated content — with human review for priority products. Scale content without scaling risk.

Yes. AI search, recommendations, and chat integrate into existing Shopify and Shopify Plus themes via app blocks and APIs — no replatforming, no theme rebuild required.

A/B tests against control: conversion rate, AOV, and revenue per session for on-site features; deflection rate and CSAT for support. Every pilot has its metric defined before it ships.

Yes — WooCommerce, Webflow, and headless builds too. The AI patterns transfer; only the integration points change.

I work two ways: a fixed-scope project for a defined build, usually a few weeks, or a fractional retainer where I act as your part-time AI lead across a roadmap. I price on outcomes and scope, not hourly box-ticking. Before any quote I run a short paid audit, so the estimate is grounded in your real data and funnel rather than guesswork. You get a clear figure and the ROI case behind it.

A well-chosen first feature, usually semantic search or support automation, can be live on real traffic within two to four weeks, with early signal from the control group shortly after. I deliberately start with something that has a clean baseline and fast payback, so you see a defensible revenue or cost number before we invest in anything heavier like personalised recommendations, which need behavioural data to accumulate first.

Often, yes, and I will say so plainly. For many stores an off-the-shelf app delivers most of the value with far less risk, and part of what you hire an ai consultant for ecommerce for is honest build-versus-buy advice. Custom work earns its cost when your catalogue is large or unusual, when margins make ranking a profit lever, or when data must stay in your own infrastructure. I help you spend budget where it actually compounds.

Yes. Most serious ecommerce AI lives or dies on data plumbing, so I integrate with your PIM, ERP, OMS and review platform through their APIs and build a retrieval layer so every feature answers from a single source of truth. If your product data is thin or inconsistent, I will flag that before anything else, because no model compensates for a catalogue it cannot trust.

Three layers. First, retrieval-augmented generation that grounds every answer in your real product, stock and policy data rather than the model's memory. Second, confidence thresholds and guardrails that hand off to a human the moment the system is unsure, instead of guessing. Third, an evaluation harness that tests responses against known cases before release and monitors them in production. A customer-facing AI that invents refund policies is a liability, and I treat it as one.

You work directly with a senior engineer who has shipped production AI and run Shopify Plus builds, not a sales lead who hands you to juniors. With 15+ years and 100+ projects behind me, I own the architecture, the tradeoffs and the measurement end to end. I stay small and selective on purpose, so you get a fractional CTO's judgement rather than an agency's billable-hours incentive to over-build.