Automotive operations
Turning hidden inventory into available cash
Parts were difficult to locate, employees lost time searching, and purchasing did not reflect local demand.
What we built
An AI inventory and reporting system with searchable stock and location-specific demand prediction.
- Operational automation
- Predictive reporting
- Custom software
The situation
A multi-location automotive parts operation held significant stock, but nobody could say exactly what was on the shelves or where. Cash sat in inventory the business could not see.
The operational bottleneck
Employees lost time walking the floor and calling other locations to track down parts, and purchasing decisions were made without a clear picture of what each location actually sold.
What AureliaEdge built
An AI inventory and reporting system: stock searchable across locations, automated reporting, and demand prediction tuned to each location's own sales patterns.
The outcome
The business reports a 50%+ improvement in available cash flow within six months, and roughly 30 minutes saved per employee per day that was previously lost to searching.
What is measured, and what is still being validated
Cash-flow and time-savings figures are client-reported. Source records and measurement definitions are being documented before this story becomes a full case study.
