AI & Automation
Automating the work behind your store, with measurable time saved.
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Most e-commerce businesses have a process someone does by hand every morning: typing over orders that arrived by email, correcting stock, matching invoices. Those processes are usually cheaper to automate than people expect.
We start from the process, not the technology. Sometimes the answer involves AI; often a well-built integration is faster, cheaper and more predictable. We will tell you which.
Why Codemaker-S?
Process first, technology second
We start by working out what the manual work actually costs. If a plain integration solves it better than AI, that is what we build.
A business case before we build
Each automation comes with an expected time saving, so you can decide whether it is worth it before committing.
Built to be checked
Automated processes need to be inspectable. We build in logging and admin screens so your team can see what happened and why.
“We hugely appreciate how hard Codemaker-S worked. They were still going on the Sunday before our launch to get the last details right. After going live they even came round to celebrate, with VA Imaging cake and champagne.”
How we work
Process analysis
Mapping / Volume / Business case
We map the manual work, how often it happens and what it costs, and calculate which processes are worth automating.
Build
Integrations / AI / Admin
We build the automation with the right tool for the job, including the admin screens your team needs to verify it.
Measure & tune
Monitoring / Edge cases / Adjust
We measure the actual time saved and handle the exceptions that only surface in production.
Frequently asked questions
You probably have questions about Shopify as a platform, or about how we work at Codemaker-S. Not finding yours? Give us a call, or leave your details and we'll come back to you.
It depends on the process: a chatbot on your own content is smaller than full order-entry automation with an ERP integration. After the process analysis you get a fixed quote per automation, including the expected time saving, so the business case is clear up front.
Often not, and we would rather say so. Structured problems such as order data, stock sync and invoice matching are better served by a plain integration: cheaper, faster and predictable. AI earns its place with unstructured input, such as orders arriving as free-text email.
Yes, and it is one of the clearest wins we build. Free-text order emails get parsed into structured order lines, matched against your catalogue, and presented for approval before anything is created. A human stays in the loop where it matters.
That is a decision we make explicitly per project, not a default. We can run on models that do not train on your data, or keep processing entirely within your own infrastructure. Which one applies gets written down before we build.
Because you can inspect it. We build logging and an admin view into every automation, so your team can see what was processed, what failed and why. Automation you cannot audit is automation nobody trusts.
Yes. A chatbot grounded in your actual product data and policies, rather than a general model guessing, handles a meaningful share of repeat customer service questions. The value is in the grounding and the escalation path, not the chat window.
Get your store analysed for free
Enter your website. We scan it live on platform, speed, accessibility, SEO, security, checkout and email, and send you the full report by email.
- 01Completely free
- 02No obligation
- 03Results in two minutes
No credit card. No sales pitch. We look the way a customer does: we fill nothing in and order nothing.
A real browser loads your site the way a visitor does. Everything you see next is measured on your site, not estimated.
Start with the morning routine
The best automation projects begin with someone describing what they do before the first coffee. Orders typed over from email, stock corrected by hand, invoices matched one by one. Those are measurable, repetitive and usually cheaper to fix than the annual cost of doing them manually.
When AI is the right tool, and when it is not
AI is worth it when the input is unstructured and the rules are fuzzy: free-text orders, customer questions, product descriptions. For structured data with clear rules, a normal integration wins on cost, speed and predictability. Choosing wrong is expensive in both directions.
Automation you can audit
An automated process that nobody can inspect becomes a liability the first time it is wrong. We build logging and admin screens as part of the work, so your team can verify what happened rather than trusting a black box.