Predicting Used (off-lease) Vehicle Pricing for Automobile Dealers
The client is a leading automobile manufacturing company founded in 1981. It provides competitive financial products & services to dealers and their customers throughout the United States including retail leasing, retail financing, and balloon financing, along with wholesale financing for new and used vehicles.
- Built comprehensive workflow and machine learning solution using RapidMiner Data Science Platform.
- Built Outlier detection, upstream, downstream, and demand level models.
- Provided secure API to dealers to query the pricing on demand (rather than static list price).
- Streamlined the dynamic pricing process based on the sales data and various (90+) parameters influencing the pricing on a daily basis.
- Increased profitability by increasing sales and reducing costs (unwanted discounts by sales reps).
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Krunal Vyas is a Sr. digital marketer at Anblicks. He is fond of exploring new technology and research & development. His main interest is to explore how Modern Apps can benefit businesses to enhance user engagement. Besides, he likes to share his knowledge by writing meaningful content to educate the audience about Modern Applications.