AI for Ecommerce
Your team probably already uses AI. The bigger opportunity is building it into the way ecommerce actually gets done. I find where AI can save time, improve output and add capacity, then help redesign, build and embed better workflows.
Weekly trading review
ChatGPT, Claude and a growing range of specialist tools can all be useful. But giving a team access to AI does not automatically make the business more productive.
The bigger opportunity is the work itself. What takes too long? What gets repeated? Where are people copying information between systems? What analysis takes hours? Where does work wait for somebody? And where could AI add capacity to experienced people without removing the judgement that makes their work valuable?
The question isn’t “Where can we use AI?”
It’s “Where could we work better?”
These are areas where workflows can often be improved, not tasks AI runs unsupervised.
Understand how the team works now.
Map the recurring tasks, bottlenecks, hand-offs and time-consuming analysis, and identify where AI or automation could genuinely help.
Design a better way of working.
Decide what stays human, what can be automated, where AI adds value, and where plain rules or software you already own would do the job better.
Implement the useful parts.
Depending on the problem: AI tools, reusable prompts and projects, automations, integrations, agents or lightweight internal tools. Not every piece of work needs custom development.
Make it usable by the team.
Document it, train the people who will use it, put human review where it belongs, and refine the workflow as it gets used.
Before adding more tools, understand where AI could actually make a difference.
The review looks at the ecommerce workflows that matter to you, across areas such as trading, marketing, CRM, content, reporting, customer insight and site optimisation. It is scoped and priced once we have talked about which of those matter.
What you get
Illustrative workflows, not client case studies.
Before
With a better workflow
A person stays responsible for: Interpretation, decisions and action.
Before
With a better workflow
A person stays responsible for: Deciding which findings matter, and what changes follow.
Before
With a better workflow
A person stays responsible for: Commercial strategy, brand judgement and approval.
Not every task should be automated. A good workflow uses rules, AI and people where each is strongest.
The job is not to put AI everywhere. It is to help ecommerce teams spend less time on repetitive work and more on the decisions that improve the business.
My approach to AI comes from working inside ecommerce businesses, not from treating them as technology projects.
I have worked across ecommerce leadership, trading, Shopify, CRM, CRO, acquisition, retention, analytics and team management. That experience is what tells me where AI is useful and where it only adds complexity. The example below is my own platform, where I build and run the AI workflows myself. It is not client work.
Jason's own platform. Not Blueprint Yorkshire client work
Founder
An independent UK trail running platform of routes, races and free GPX downloads, run by one person.
A one-person platform needs the output of a team. AI does the research and build work; rules and human review protect the facts runners rely on.
I am not tied to one AI platform. Solutions usually build on tools ecommerce teams already use, and only add something new where it earns its place.
No. Some teams have a handful of people using ChatGPT or Claude on their own; some have nothing in place. The starting point is the same either way: the work, not the tools.
No. The aim is to take repetitive, low-value work off experienced people so they spend more of their time on the decisions that move the business. Judgement stays with people.
Whatever fits the workflow. That can be Claude or ChatGPT, automation platforms, the AI features already inside Shopify or Klaviyo, or no AI at all where a plain rule does the job better. I am not tied to one platform.
Workflows are designed around the tools and data policies your business has already approved. Customer data only goes into systems you have agreed to use, and that is settled before anything is built.
Tell me about the repetitive work, analysis or bottlenecks slowing the ecommerce team down. I’ll help work out whether AI, automation or a simpler process is the right answer. You don’t need to know which technology you need. Start with the problem.