Every department behind its own screen
Seven dashboards covering the overview, work orders, stock, depots, suppliers, sales orders and planning, refreshed from the ERP through the day.
A UK manufacturer with an office team and a warehouse ran everything through a mature ERP system. The data was good. Nobody could see across it, chasing suppliers was a daily manual job, and shipments lived in a spreadsheet. In two months we had the first version of an operational intelligence and workflow platform live: dashboards, automated purchase-order chasing and an AI assistant that answers from real numbers. It has kept growing since.
Manufacturing, stock, sales, purchasing and invoicing each lived behind their own screen. Nobody could tell which customer orders a late supplier delivery would hit, or which components would run short. Routine work, like chasing suppliers to confirm orders or tracking what had shipped, was done by hand.
Seven dashboards covering the overview, work orders, stock, depots, suppliers, sales orders and planning, refreshed from the ERP through the day.
Each order is checked line by line against stock, works orders and open purchase orders, down to the components inside each kit. When a supplier delivery slips, the orders it puts at risk show up, and planning lists the shortfalls to buy.
Supplier replies are matched to their orders automatically. Chase emails go out each weekday, within limits the team sets.
Every pick list from the ERP, the shipment it is on and when it was collected, with labels and photos.
Ask which orders are overdue or what is short for next week. It answers from the ERP using the same logic as the dashboards.
Behind one sign-in, with the AI assistant available on every page.
Illustrative only, all the data in these illustrations is fake/anonymised.
Select a screen to enlarge it
The client asked for a platform they could keep building on. Each tool is its own module on a shared base, so new features slot in without reworking what is already live. The picklist tracker and stock finder were both added that way after go-live.
The business already ran on a mature ERP, and there was no reason to replace it. The platform sits on top of its data, reading from a read-only copy of the database, so staff keep working in the system they know and the live system is never touched.
A deterministic framework. Counts, late-order verdicts and shortages are worked out in code. The AI assistant only explains the result. This makes it give the same answer as the dashboards instead of hallucinating one.
When we changed how orders are judged, the new logic ran silently alongside the old and logged what it would have done. The team checked the results before anything went live.
Before and after each tool went live. Numbers from the client's own reporting.
Purchase order tracker with automated email chasing; replies are read by AI to work out each order's status, so staff know what to focus on.
In three months. The same tracker and chasing, with every order's status kept current from supplier replies.
The effectiveness score their key customer gives them as a supplier. Still climbing each week.
Sales order tracker and dashboard. The platform pulls the data together and applies the calculations, so staff decide without escalating.
£70,000
Stock visible in one place for the first time, measured against what the records said was there.
Hosted in the client's existing Microsoft Azure environment, under their control.
A data strategy that follows GDPR, covering what is held, where it is kept and who can see it.
Staff sign in with the work accounts they already have. Easy for them, and access is controlled in one place.
Role-based access and row-level security in the database mean each person reaches only the parts of the platform their job needs.
Layered protection, so a single compromised account can't open up the rest of the platform.
We say what we would do. Then we do it.