An Auto Repair Shop in Austin

This Austin auto repair shop had been the go-to in the neighborhood for over a decade. The general manager ran a tight operation — skilled mechanics, fair prices, and a reputation for honest work. But behind the scenes, the parts management process was chaos.

Inventory was tracked on a spreadsheet that hadn't been updated consistently since 2019. When a mechanic needed a part, they'd walk to the stockroom, check the shelf, and if it wasn't there, they'd call the supplier. Sometimes they'd call two or three suppliers to find the best price or fastest delivery. Meanwhile, the car sat on the lift and the next job backed up.

Stockouts were a constant headache. Common parts like brake pads and oil filters would run out without warning. Other times, the team would discover they had six months' worth of a part that barely moved. Cash was tied up in dead inventory while customers waited for the parts they actually needed.

The spreadsheet had become more of a suggestion than a system. Nobody trusted it, so nobody used it, which made it even less accurate. It was a vicious cycle that cost the shop time, money, and occasionally customers.

We spent three days at the shop. We watched mechanics pull parts, listened in on supplier calls, and tracked every interruption in the repair workflow. We timed how long each parts-related delay added to a job. The numbers were worse than expected — the team was spending an average of 45 minutes per day just on parts ordering and inventory checks.

We also mapped the supplier relationships. The shop worked with four main distributors, each with different pricing, delivery windows, and minimum order requirements. The mechanics had this knowledge in their heads, but it wasn't written down anywhere. When the senior mechanic took a day off, the rest of the team defaulted to whichever supplier they remembered.

We built a custom inventory management app tailored to the shop's specific workflow, rolled out over four weeks:

• A barcode scanning system using a tablet mounted in the stockroom. When a mechanic pulled a part, they scanned it. When a delivery arrived, they scanned it in. The inventory count updated in real time — no spreadsheet, no manual entry.

• Automated reorder alerts based on historical usage data. The system learned which parts moved fast and which sat on shelves. When stock dropped below a calculated threshold, it generated a reorder suggestion with the best supplier match based on price and delivery speed.

• A supplier integration dashboard that consolidated pricing and availability from all four distributors into a single view. Instead of making three phone calls, a mechanic could check availability and place an order in under two minutes.

The entire system ran on a single tablet and a laptop in the back office. No servers, no complex IT setup. The team was trained in a single afternoon.

Within 60 days, the impact was clear:

• 40% reduction in parts ordering time — mechanics spent minutes instead of nearly an hour each day dealing with inventory
• Stockouts dropped by 75% — automated reorder alerts caught low inventory before it became a problem
• Dead inventory reduced by 30% — better visibility meant smarter purchasing decisions and less cash tied up on shelves
• Faster job turnaround — fewer parts delays meant cars moved through the shop more quickly, increasing daily capacity

The general manager estimated the efficiency gains translated to roughly two additional jobs per week that the shop could take on — revenue that was previously lost to downtime. The system paid for itself in the first month.