ARTIFICIAL INTELLIGENCE IN THE AUTOMOTIVE INDUSTRY
DATA & AI PROJECTS IN THE AUTOMOBILE INDUSTRY
We have used our experience from over 1.000 projects in the last 5+ years to develop a holistic system for Data & AI projects – our Data Journey. A comprehensive Data Strategy forms the basis and the framework for generating added value from Data–what we refer to as Data2Value. Our Data Lab is all about speed! Their main goal is to test Use Cases as quickly as possible – from the concept phase to the prototype using real Data. In the Data Factory, Use Cases are industrialized into finished products. The absolute main focus is on scaling and the sustainable generation of added value – as such, the user is just as much the focus here as well. In our DataOps we continuously operate and maintain your platforms and Machine Learning algorithms.
REFERENCE PROJECTS
since our foundation, our Data & AI experts have successfully implemented numerous projects in the automotive industry. Read some of our references on AI in the automotive industry.
PREDICTIVE MAINTENANCE @MAN
- Prevention of 92% of all injector failures
- Reduction of warranty costs
- Reduced penalties and securing of follow-up orders
CONNECTED CAR
- Customer retention through innovative services
- Development of new, Data-driven business models
- Increase customer satisfaction
PREDICTIVE CAR MAINTENANCE
- Reduction of warranty costs by over 50%
- Increase customer satisfaction
- Prevention of costly recall actions
RETENTION RATE
- Interactive tool for analyzing customer loyalty and upselling potential
- Success of customer campaigns is made measurable
- Effort reduction through automation
VIRTUAL SALESMAN
- Transparency in the sales process through intuitive visualization with D3.js and HTML5
- Presentation of potential for optimization in the client’s fleet with direct calculation of the ROI
- Display of the probability of change, reliability of existing fleet as well as historical transactions
ERROR DETECTION FOR PAINTING ROBOTS
- Two defect images can be identified with very high accuracy
- The software manufacturer has the appropriate instructions for the implementation
- Successful presentation of the error detection component to the manufacturer
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