AI for E-commerce
Businesses
Most ecommerce "AI" is a recommendation widget bolted onto a Shopify theme. We build the loops behind the storefront, product data, merchandising, checkout, support and retention, so the store keeps selling once agents are doing the shopping.
70.2%
CARTS ABANDONED (BAYMARD)
15×
AI-DRIVEN ORDERS, 2025 (SHOPIFY)
ACP & UCP
TWO AGENT-CHECKOUT STANDARDS, ONE RACE
Your next best customer might not be a person.
For twenty years, ecommerce meant a human typing into Google, landing on a product page, clicking buy. Most of it still is. Won't be for long.
ChatGPT spent autumn 2025 selling inside the chat via the Agentic Commerce Protocol that OpenAI built with Stripe. OpenAI pulled it in March to fix pricing, inventory sync and sales tax, but the protocol's open and the next attempt is already in flight. At NRF in January, Google, Shopify, Etsy, Wayfair, Target and Walmart fired back with the Universal Commerce Protocol, backed by Visa, Mastercard, Amex, Stripe and Adyen. Copilot and Gemini are wiring up too.
If your product data, pricing and policies aren't readable to an agent, you stop being on the shelf.
YESTERDAY'S STORE
- Built for Google blue links
- Product copy written once, then ignored
- Support inbox of "where's my order"
- Email blasts to the whole list
- A merchandiser hand-pinning hero rows
AGENT-READY STORE
- Feed an agent can shop on your behalf
- Descriptions rewritten as the catalogue changes
- Tier-one support handled before a human sees it
- Lifecycle emails that read like you wrote them
- Merchandising that re-ranks itself overnight
Five loops every store should already be running.
Skip the "AI strategy" deck. Most online retailers get most of the upside from these five. Pick the one that's hurting most this month, build it, move on.
Product data
Titles, descriptions, attributes, images and alt text rewritten from your specs and reviews. Cleaned for Google Merchant Center, Meta, TikTok and the agent feeds.
Search & merchandising
On-site search that reads intent, collection pages that re-rank against today's stock and margins, and a quiet pricing assistant that flags the SKUs nobody's watching.
Checkout & agents
Total-cost-up-front, address autofill, smart shipping options, and the feeds and policies you need to be sellable inside ChatGPT, Copilot and Google AI Mode.
Service & returns
WISMO, sizing, exchanges, refunds and warranty triage handled by an agent that's read your policy, with the high-stakes calls escalated cleanly to a human.
Retention
Lifecycle email and SMS written per customer, not per segment. Win-backs that mention the dress they actually bought. A second AI watches the open rates and rewrites the bad ones overnight.
Where we come in.
We've built AI loops for retailers on Shopify, WooCommerce, BigCommerce and bespoke stacks. Roughly the same pattern every time: audit, pick the first loop, build it, put a learning loop on top.
No twelve-month rebuild, no replatform. Your store keeps running while we add the loops behind it.
BOOK A STORE AUDITStore audit
Read access to your store, analytics, ESP, helpdesk and ad accounts. One-page report: where the money's leaking, where AI pays back fastest, what's already DMCC-compliant and what isn't.
Clean the catalogue
A product data loop that rewrites titles, descriptions and structured attributes from your specs, reviews and supplier sheets. The feed Google, Meta and the AI agents see stops being the limiter.
Launch the first revenue loop
On-site search, lifecycle email, or a service agent. We pick the one with the biggest known gap, launch it, plug it into your existing tools, and prove the lift before scoping the next.
Put the learning loop on top
A second AI watches each loop's outputs. When the recommender misses, the email flops or the support agent escalates badly, it works out why and updates the prompt, knowledge or rule overnight. By morning, that mistake doesn't repeat.
It's already happening.
Three changes from the last twelve months that decide what your store looks like for the next five.
ChatGPT learned to check out, then paused.
OpenAI launched Instant Checkout with Etsy and a million-odd Shopify merchants including Glossier, SKIMS and Spanx, running on the Agentic Commerce Protocol built with Stripe. They pulled the feature in March 2026 over pricing, inventory and sales-tax accuracy. The protocol is still open. The next attempt is coming.
Google fired back.
At NRF, Google and Shopify launched the rival Universal Commerce Protocol with Etsy, Wayfair, Target and Walmart as co-developers, and Visa, Mastercard, Amex, Stripe and Adyen on the payment side. The agent web is now a two-horse race, and your catalogue is the asset.
DMCC Act in force.
The CMA can now fine up to 10% of global turnover for drip pricing, fake reviews and the dark patterns that used to be normal. The first eight investigations opened on 18 November 2025, targeting StubHub, viagogo, Wayfair and others. Subscription rules land later this year.
Sources: OpenAI, Stripe, Shopify, Google, CMA, Taylor Wessing, Cooley.
The ones we get asked first.
Isn't this just a Shopify app?
Sometimes. Shopify Magic, Sidekick and Agentic Storefronts cover real ground, and we'll tell you when they're enough. Most stores we work with have already bought four AI apps and still don't have a working loop. We build the bit between the apps.
We're on WooCommerce / BigCommerce / a bespoke stack. Still works?
Yes. The loops live above your platform, talking to it via APIs. We've built on Shopify, WooCommerce, BigCommerce and a couple of bespoke Laravel stores. The platform isn't the limiter, the catalogue and the policies are.
Do we have to do all five loops?
No. Pick the one that hurts most. For most brands that's product data or service. Once one loop's paying for itself, the next is an easy call. We don't bundle.
Will the agent stuff actually drive sales for us?
Honest answer: nobody knows the volume yet. OpenAI pulled Instant Checkout in March 2026 after near-zero sales and a pricing, inventory and sales-tax mess. The protocol stayed open, Google's UCP launched in January with serious backing, and the next round is coming. If your feed, policies and structured data aren't ready, you're not in the consideration set when the volume does land. It's cheap insurance.
What about returns, refunds, and the angry customer?
The service loop reads your policy, your order data and the carrier's tracking. It handles WISMO, sizing, exchanges and standard refunds inside the policy. Anything outside, anything where someone's angry, anything over a value threshold goes to a human with the context attached. You set the rules. We log every decision.
How do you keep us on the right side of the DMCC Act?
Total price up front, no surprise fees at checkout, no fake or incentivised reviews, no hidden subscription traps. The audit flags where you're exposed. The loops we build respect it by default. The CMA can fine 10% of global turnover, which is reason enough not to wing it.
How long, how much?
Audit is fixed-fee, turned around fast. First loop live in days, priced per phase before we start. No retainer required, no monthly licence on top of what you've already got.
Who owns the prompts, data and code?
You do. Source, prompts, evals, data, the lot. We can host it for you, or hand it to your team. The AI runs on your accounts at OpenAI, Anthropic or wherever you prefer, so the bill and the logs are yours.
Get your store ready for the next ten years of buying.
Send us the URL and read-only access. We come back with what's leaking, which loop to build first, and whether you need us to do it. Thirty minutes on a call, no slides.