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 problem
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.
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 changed
- Before
Staff walked the floor and phoned other branches to find a part.
With the systemThey search once and get the branch and the shelf.
- Before
Nobody could say what was on the shelves, or where.
With the systemOne stock record covers every location.
- Before
Purchasing averaged demand across branches that sell different things.
With the systemEach branch reorders from its own sales history.
- Before
A report meant somebody building a spreadsheet.
With the systemReports arrive on a schedule, already built.
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 we built
An AI inventory and reporting system: stock searchable across locations, automated reporting, and demand prediction tuned to each location's own sales patterns.
One stock record across every location
Each part, its quantity, and its physical shelf position held in a single record set instead of per-branch spreadsheets and staff memory.
Cross-location parts search
Staff type a part name or number and see what is in stock, at which location, on which shelf — without phoning around.
Demand prediction per location
Each location gets reorder signals from its own sales history, so purchasing stops averaging demand across branches that sell different things.
Automated operational reporting
Stock value, slow movers, and repeat stockouts compiled and delivered on a schedule, with nobody assembling a spreadsheet.
Ranked reorder shortlist
Purchasing opens a list ordered by what that location actually sells, instead of rebuilding the decision from scratch each cycle.
How it runs, day to day
- 1
Stock movements sync from the systems the business already uses — no second place to type things into.
- 2
Every item is indexed with its quantity and its physical location as it moves.
- 3
Staff search from the floor and get an exact shelf rather than a maybe.
- 4
Sales history per location feeds the demand model, which flags what to reorder and what to stop buying.
- 5
Reports go out on a fixed schedule to owners and location managers.
What you would get
The engagement
Operational automation build- Audit of how stock, parts, or jobs are tracked today — including the spreadsheets nobody admits to
- A single searchable record set built from your existing data
- A search interface your staff can use on the floor, on a phone
- Reorder or demand logic tuned per location, per line, or per season
- Scheduled reporting for owners and managers, in a format they will actually read
- Staff walkthrough, written handover, and a defined post-launch support window
Best for
Multi-location operations where stock, parts, or equipment are hard to find, and purchasing runs on instinct rather than each location's own numbers.
What you bring
- Access to your current stock or sales records, however messy
- One person who knows how the operation really works day to day
- A named owner for purchasing decisions
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.