The automotive industry has begun leveraging new technologies to reshape not only how we drive cars, but also how we conceptualize them. Here are the three biggest technological trends driving the automotive industry in 2021.
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
Using the software to understand and control process variation within our mills is working very well. Citizen data scientists have adapted to using the software very quickly, resulting in many projects being implemented at a mill level. Integrating our previous open source machine learning solutions (R and Python) in the RapidMiner platform was seamless.
The software enables us to perform relevant analytics and the team is always here to help us on our way to success, guiding us at each step!
We started using RapidMiner Studio and AI Hub about 3-4 months ago. We wanted an end-to-end data science platform that could easily be configured with our legacy source data systems, as well as easy direct connections to external data sources—in addition, a product with a variety of supervised learning models which allow us to quickly iterate. RapidMiner has been excellent in that aspect.
This software is GREAT. It has drastically changed how we play with data. Within a year, it became an essential tool for our plant. We use RapidMiner Studio on a daily basis to increase the understanding of our work on big data trends and to implement new solutions based on predictive models. Everything is so fast that we are motivated to build many projects.