Winning bids at machine speed.
An RPA agent that bids, buys, and sells used cars exactly as a human would, only faster, around the clock, and without missing the auctions that matter.
Robotic process automation
What they were up against.
The US used-car market runs on bulk auctions, and for one reseller the whole operation was manual: people watching listings, placing bids, processing the buy and the resale. It was slow, it was expensive, about $2.5M every quarter, and it still lost bids that should have been theirs.
Auctions do not wait for a coffee break. The losses were often just a matter of nobody being on the right listing at the right second.
How the approach works.
The human workflow was mapped end to end, find, evaluate, bid, purchase, sell, and all the manual processing in between, then rebuilt as an RPA agent in UiPath with C# logic. The agent does exactly what the team did, but it never blinks and never logs off.
Because it works the existing systems rather than replacing them, it dropped into the business without a platform migration.
What it changes.
The agent now wins 99% of the bids the reseller targets, and it did it while collapsing the cost of the operation from roughly $2.5M a quarter to about $20K a year.
Same outcome the team wanted, at machine speed and a fraction of the cost.