SAS
305 Case Studies
A SAS Case Study
Manheim, the world’s largest vehicle remarketer that auctions about 10 million cars a year and publishes leading used-vehicle benchmarks, faced the challenge of integrating and exploiting massive datasets to better understand thousands of dealers and realign its sales network for improved performance. The company needed fast, repeatable models to segment customers, forecast demand, and redesign territories without disrupting dealer relationships.
By expanding its use of SAS analytics (including SAS/OR and SAS Enterprise Guide) Manheim rapidly optimized territory realignment, forecasted auction volumes, and tailored services by dealer segment, reducing planning time from days to minutes. The initiative drove a 17% increase in dealer market share over two years and a 15% year-over-year rise in dealer volume, while enabling ongoing, fast model-results-feedback cycles for future growth planning.
Glenn Bailey
Senior Director of Operations Research