Company Size
200-1,000
Region
- Europe
Country
- Denmark
Product
- DataRobot AI Platform
- AutoML
- MLOps
Tech Stack
- Machine Learning
- Artificial Intelligence
- Data Science
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Automotive
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Fleet Management
- Predictive Maintenance
Services
- Data Science Services
- System Integration
About The Customer
AUTOproff is an emerging European leader in digital dealer-to-dealer trading, with more than 100,000 cars on auction in 2021. Established in 2013, AUTOproff aimed to digitize B2B vehicle trading, helping car dealers grow sales and improve profits from used car trading. Professionals can seamlessly and securely buy vehicles directly via AUTOproff’s online auction, with a unique range of integrated on-demand trading services, or sell cars via AUTOproff’s fully managed, end-to-end selling service. AUTOproff also provides C2B web solutions for dealerships, internal digital trading solutions for larger dealership groups and their ecosystems, as well as dedicated enterprise solutions for leasing, rental and insurance firms.
The Challenge
AUTOproff, a European leader in digital dealer-to-dealer trading, was facing a challenge in scaling its operations. The company, which had more than 100,000 cars on auction in 2021, was struggling to produce car value estimates within the 20 minutes promised to customers. This task was entirely dependent on a team of skilled vehicle professionals. As the company grew, the need for scaling became increasingly important. The challenge was to automate the process of producing car value estimates to expedite the turnaround time for customers and free up the data scientists and estimators to focus on more rewarding parts of their jobs.
The Solution
AUTOproff turned to DataRobot AI Platform to build its Pricing Robot, which automated the most mundane parts of modeling and price estimating. The platform eliminated the manual parts of AUTOproff’s analytics lifecycle, cutting the time to arrive at optimal models. DataRobot MLOps simplified monitoring models in production, enabling the team to stay on top of accuracy. The platform also cut experimentation time dramatically, allowing models to be released to production in three weeks or less. AUTOproff used the DataRobot AI Platform to create its Pricing Robot to support automated car value estimates. With a regression model, the company was able to automate 55 to 60% of all estimates.
Operational Impact
Quantitative Benefit
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