Retail looks simple from outside and is brutal from inside: thin margins, stock that lies, three channels that disagree, and a season that decides your year. We started in retail. The software we build reflects that rather than a diagram of it.
Before any of the AI, this was a retail and pharmacy operation. That is where the scar tissue came from — the stock count that never matched, the promotion that sold out in four hours in one shop and nowhere else, the supplier order that went in twice, the bank holiday that broke the roster.
It is the reason we do not start a retail project by asking what features you want. We start by asking what goes wrong on a Saturday. That question gets a far more useful answer, because the failures in retail are operational, not technical, and software that ignores them just automates the mess faster.
HealthyChoice — an AI shopping planner — is one of the builds you can read on the case studies page. Alongside it, commerce and payments is a standing capability here: quoting, checkout, invoicing and the unglamorous end where projects usually stall.
One truthful number across shop floor, stockroom and online — instead of three systems each confident and wrong.
Web, in-store, marketplace and click-and-collect behaving as one business rather than four that share a logo.
Built or rebuilt to be fast on a phone, because a slow checkout is a refund you never got the chance to issue.
Reordering that reflects what actually sells, not what somebody remembers selling.
Knowing who came back, who did not, and why — and acting on it without a person running a weekly export.
What each line, channel and promotion actually made after the cost of serving it. Usually the most uncomfortable screen we build.
Retail is drowning in AI theatre — a bouncing bubble on a product page that answers questions nobody asked. That is not where the money is.
The money is in the repetitive judgement calls happening all day, badly, because the people making them are busy: what to reorder and how much, which customer is about to stop coming, which enquiry is a real order, what to write for four hundred product descriptions, which promotion is quietly losing money. Each of those is a decision someone makes on instinct at speed, and each is exactly the shape of work a machine can do consistently with a person checking it.
The rule here is the same as everywhere: AI drafts and recommends, a person signs anything that reaches a customer or moves money. Speed does not buy its way past that.
Keep what works. If your store platform, till or accounts package is doing its job, we connect to it rather than replacing it. Rip-and-replace is rarely the cheapest route to the outcome.
Fixed written price, and you own it. No per-seat licence that grows every time you open a till or take on seasonal staff.
Fast on a phone. Measured on a real connection. Most retail sites are approved on office wifi and lose customers on mobile data.
Built for the worst week of your year. If it cannot take Black Friday or Christmas Eve, it does not work — those are the days that pay for the other fifty.
Start where it bleeds. One process, proven, paying for the next. Not a twelve-month replatform nobody can afford to abandon halfway.
Describe it in your own words. Ray comes back with an opportunity brief, a business case and a scoped, priced proposal — usually in minutes. Free, no sales call, and a human signs off everything before it reaches you.
Start the scan — free