Data and AI in the Automotive Industry
Companies from the automotive industry can use data science, machine learning and artificial intelligence to improve products and services, optimize processes and identify new business models.
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Data science and AI consulting for companies in the automotive industry
The potential of data and AI for automotive companies
The automotive industry is a motor of technical innovation. The application of data science and artificial intelligence opens up great opportunities for the entire industry. Many companies in the automotive industry have already begun to tap into the potential of these technologies.
The areas of application of data science, machine learning and AI in automotive are almost limitless. In aftersales, algorithms can be used to identify quality problems and maintenance requirements at an early stage, analyze telematics data or determine the residual value of leased vehicles. In production, it is possible to predict when certain machines will break down or require maintenance, whether individual components have quality deficits and how great the expected demand for certain products will be. Furthermore, KPIs such as EBIT and investment costs can be forecasted, prices can be optimized and personalized customer experiences created. Data science and especially deep learning also play a central role in the field of autonomous driving and in the development of driver assistance systems.
Our team has already implemented a wide variety of projects in the automotive industry and also supports you in the development and implementation of data science, machine learning and AI projects in your company. Arrange a consultation now to analyze your options and benefit from our experience from over 500 projects. We look forward to working with you!
Possible use cases of AI
in the automotive industry
Predictive Maintenance
Prevent defects in production machines and vehicles with predictive maintenance methods.
Prevent defects in production machines and vehicles with predictive maintenance methods.
KPI and Sales Forecasts
Make decisions based on reliable forecasts of your KPIs such as sales, turnover, costs, liquidity or EBIT.
Make decisions based on reliable forecasts of your KPIs such as sales, turnover, costs, liquidity or EBIT.
Residual Value Forecast
Determine the residual values of leased vehicles efficiently and precisely with the help of data-based solutions.
Determine the residual values of leased vehicles efficiently and precisely with the help of data-based solutions.
Digital Assistants
Make your driving experience more personalized with IoT applications, voice control, and digital assistants.
Make your driving experience more personalized with IoT applications, voice control, and digital assistants.
Analysis of Telematics Data
Base your product development and marketing decisions on the analysis of usage and vehicle data.
Base your product development and marketing decisions on the analysis of usage and vehicle data.
Personalized Product Configuration
With AI, you can ensure that your customers receive exactly the product configuration that suits them.
With AI, you can ensure that your customers receive exactly the product configuration that suits them.
Quality Control
Control and optimize the quality of your products using data and artificial intelligence.
Control and optimize the quality of your products using data and artificial intelligence.
Supply Chain Management
Optimize your order, inventory and production management based on demand and supply forecasts.
Optimize your order, inventory and production management based on demand and supply forecasts.
Our advantage
500
Data and AI Projects
successfully realized
100
Customers
from 10 industries
85
Experts
from 17 fields of study
10
Years of experience
in Data Science, ML and AI
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Your expert for data and AI in automotive
Would you like to exchange ideas with us on topics related to data science, machine learning and AI in the automotive industry? Or do you already have a specific project in mind? Contact us.
