Case study 03 · Automotive
The right bid.
At the right second.
An automated vehicle auction workflow that monitors, bids, purchases, and supports resale through the existing business systems.
- Sector
- Automotive resale
- Geography
- United States
- Automation
- Rules-based RPA
- Technology
- UiPath + C#
01 / The challenge
Keep up with time-sensitive auctions.
A US used-car reseller relied on staff to monitor listings, evaluate vehicles, place bids, and process purchases and resale. The workflow combined time-sensitive decisions with repetitive work across business systems.
02 / The approach
Turn buying rules into an automated workflow.
UiPath automation connected the auction and business-system steps. C# logic encoded the reseller’s buying criteria so the workflow could evaluate listings and submit bids according to those rules.
The build also automated purchase and resale processing. This was a rules-based RPA implementation, covering the workflow from listing review through follow-up operations.
03 / The outcome
A reported 99% win rate on targeted bids.
The project reported a 99% win rate on targeted bids selected by the workflow.
The system connected monitoring, bidding, purchasing, and resale processing in one automated workflow.
What we built
The system, in parts.
- 01
Auction monitoring and bidding
Evaluates listings and submits bids using the reseller’s buying criteria.
- 02
Purchase and resale processing
Automates the follow-up steps across existing business systems.
- 03
Rules engine
Encodes vehicle-selection and bidding rules in C#.
Technology used
- UiPath
- C#
- .NET
- RPA
Selected work delivered across GOT AI, Rocket Farm Studios, and Full Cortex in engineering, technical leadership, and advisory roles. Results are as reported by the project.
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