Who it’s for
The client is a precision-assembly manufacturer in the defense sector. Parts arrive from suppliers, are assembled at paired workstations and pass multi-stage testing before delivery.
What needed to change
Production, stock, test results and expenses were typed in by hand across spreadsheets, daily progress reports and PDF test reports. Management couldn’t see current stock, how many units could be built right now, or where rejects were happening. Sometimes the same output was recorded twice.
What we built
How it works, step by step
- [01]
A supplier delivery is logged
- [02]
Work is assigned to a workstation
- [03]
Teams assemble and log output
- [04]
Units pass multi-stage testing
- [05]
Dashboards and the AI flag what needs action
Results so far
apps: web, Windows desktop and server
user roles with their own permissions
for every device to sync the latest data
per nightly AI management report
Decisions that mattered
- [01]Keep sync simple: the server holds the true copy, and devices queue their work while offline and send it when they reconnect.
- [02]The database itself guards stock accuracy. Parts are taken all-or-nothing and oldest first, so the numbers can be trusted.
- [03]The AI only runs when something has changed, uses a cheaper model for routine checks and can switch to models hosted on-site.
The technology
For anyone curious about the tools. You don’t need to know any of this to work with us.