Used Car Dealership, New York
Full automation pipeline that scrapes live auction listings from Manheim MMR, BacklotCars, Autoniq, and ADESA daily. Compares each vehicle's auction price against its MMR market value, filters by profit margin, and sends formatted HTML email alerts to the dealer team every morning.
The dealer's team was spending 3–4 hours every morning manually checking prices across multiple platforms and still missing profitable deals because competitors were faster.
Built a fully automated Python pipeline with cookie management, proxy rotation, and scheduled execution. The system runs at 6 AM daily, processes hundreds of listings, and delivers a prioritized deal list by email before the team starts work.
Saves 8+ hours per week. Client finds 3x more profitable vehicles. Deals are spotted within minutes instead of hours.
Python, Selenium, Pandas, Gmail SMTP, Cookie Management, Scheduling