// Services / E-commerce AI
Explore where AI can help your Shopify store: clearer product data for AI discovery, useful search and recommendations, support tools and operational automation. We agree the scope, review changes and measure what happens.
// What we build
Not a bolt-on chatbot. We wire AI into the parts of your store that move revenue, from how an AI assistant discovers you to how a shopper checks out, and keep a human in the loop on every change.
Customers use AI assistants to research products. We improve catalog structure, product information and feeds so those tools can understand your offer. Our generative engine optimisation work supports discovery; inclusion in any assistant's recommendations is not guaranteed.
AI search, recommendations and merchandising can help shoppers find relevant products. We choose an approach that fits your catalog, then test it against your store's baseline rather than promise a larger basket.
An AI support layer trained on your real catalog, policies and orders. It answers the repeat questions instantly and hands the hard ones to a human, with your brand voice intact.
With Snowball, we agree monitoring for relevant pages, templates and errors. Findings are reviewed by our team; fixes and release approvals follow your agreed scope. AI does not independently change your live store.
Predictive segments and AI-timed flows in Klaviyo and on-site, so the message matches where each customer actually is, not a one-size blast to the whole list.
Merchandising, content drafts, tagging and reporting handled by automation you control, freeing your team for the work that actually needs human judgement.
// The shift
More and more product discovery now begins inside an AI assistant rather than a search bar. A shopper asks for the best option and the assistant answers with a short list. Clear, accurate product information helps those tools understand your store, alongside the search engines and customers who already use it.
Being the store an agent picks is the new page-one ranking. It runs on structured data, clean product information and content an AI can trust, the same fundamentals that win in classic search, applied to a new front door. We wrote the playbook in agentic commerce and Shopify Plus.
// How we work
01 Audit
We map your store, catalog and data and show you where AI moves the numbers and where it is just noise. No hype, a clear plan you can act on.
02 Architecture
The right models, feeds and guardrails for your stack. Structured data, clean product data and privacy handled before anything ships to customers.
03 Build and wire
We build it into Shopify, connect the tools and test the edge cases, so the AI behaves under real traffic, not just in a tidy demo.
04 Review and improve
With Snowball, monitoring and research feed an agreed queue of improvements. Capacity, review arrangements and delivery timing are agreed upfront; changes are reviewed before release.
Already running some AI tools? We audit what you have and fix what is quietly costing you, before adding anything new.
// Who this is for
Scaling brands
You have visitors and a catalog, and you want AI to lift conversion and average order value without cheapening the brand.
Invisible to AI search
Customers are researching products with AI assistants. We investigate the information those tools can access and improve relevant content and feeds, without guaranteeing placement in an answer.
Operations-heavy
Thousands of SKUs, complex merchandising and not enough hands. Automation and AI take the manual load off your people.
// Straight answers
E-commerce AI uses artificial intelligence for product discovery, search and recommendations, customer support, segmentation and operational tasks. We choose useful applications for your store, agree how they will be measured and review changes before release. Sales, recommendation placement and revenue uplift are not guaranteed.
AI assistants read structured data, clean product feeds and clear content to decide which products to recommend. This is generative engine optimisation, the SEO of AI search. We improve the catalog information those tools can interpret; whether an assistant recommends your products is outside our control. Our guide to agentic commerce and Shopify Plus goes deeper.
No. A support chatbot is one small part. E-commerce AI also covers AI search and merchandising, recommendations, agentic commerce readiness, predictive segments and automation behind the scenes. We build the pieces that actually change your numbers, not a bolt-on widget in the corner of the page.
No. Every change is reviewed and approved by a human on our team before it goes live. Our rule is simple: AI for the watching, humans for the judgement. You stay in control of your brand voice and what ships. For ongoing Shopify work, Snowball follows agreed priorities, human review and release approvals.
No. Most of this works on core Shopify. Shopify Plus unlocks more, such as checkout control and Shopify Functions, which lets us go further with AI-driven merchandising and personalisation. We will tell you honestly whether Plus is worth it for your store yet.
// After launch
For established Shopify stores, Snowball is your ongoing team: agreed monitoring, useful improvements and clear updates. Capacity, delivery timing and release approvals are agreed upfront. People review changes before they reach your live store.
// Start a project
Tell us about your store, your catalog and where you want to take it. We will tell you straight where AI moves the numbers for your brand and how we would build it.
Replies within one business day. From the person who writes the code.