Use data from the consumer, the vehicle, the factory and beyond to maximize quality, increase customer satisfaction, improve brand loyalty and innovate.
Accelerate towards a successful, data-driven future
It’s time for automotive companies to reinvent themselves from lean manufacturers to innovators. With our analytics software, you can use customer, vehicle and factory data to do just that. RapidMiner has experience helping automotive firms accelerate towards a successful future by using all available data to maximize quality, increase customer satisfaction, improve brand loyalty, and innovate.
Automotive Industry Use Cases
Why AI now?
The automotive industry has always been data-driven, but today more than ever, there’s immense pressure for car manufacturers to effectively monetize their data. In-vehicle sensors have turned cars and trucks into connected, smart devices that continuously send telematics and performance data back to the manufacturer — as well as to dealers, insurance providers and municipalities. The rise of autonomous vehicles not only increases the volume of new data produced, but is dramatically shifting consumer preferences. Automotive companies must shift from lean manufacturers to innovators of new, intelligent products and services.
MULTI-NATIONAL AUTO PARTS MANUFACTURERLearn how simple repairs and maintenance can have massive downstream implications. This manufacturer was able to drastically reduce the risk of plant shutdown, with each avoidance saving $20+ million per day cost.
MA JOR AUTOMOTIVE MANUFACTURERPrecision forecasting with AI makes variability in demand much more manageable across the supply chain. This automotive manufacturer optimized hundreds of dealer orders and generated substantially more accurate sales forecasts leading to a $10M+ benefit in year 1 and $50M+ more than expected in year 2.
What Our Customers Say
The product is very easy to use and extremely powerful. We have made a concerted effort to integrate RapidMiner into many different areas of the business to increase efficiency, reporting accuracy, bring reporting in-house to reduce costs, and integrate analytics into business processes and it has been successfully implemented across the organization.
I like its ability to answer the needs of a novice to a master data scientist. Our organization doesn't have coders and data scientist sitting around. Yet we have been able to make progress in getting people to use RapidMiner more readily. Online time is a direct indication that this is having success in our organization. Specific to manufactures, continuously increasing their OSISoft PI capability is paramount.
RapidMiner is software that is very easy to use. You can explain to people who have little understanding of data analytics use cases very well and understandably how the data is processed. The operation of the software is intuitive and the community is very broad and is a good help for special questions. The range of functions is very large and cannot be compared with other software solutions.
RapidMiner is the perfect tool for Trialing and prototyping ML projects for the citizen data scientist. It is easy to use, delivers a lot of support and allows good integration into scaled up data environments.
Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences, and do not represent the views of Gartner or its affiliates.
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