Predictive Maintenance
Use AI in Automotive to prevent failures of production machinery and vehicles through proactive maintenance.
AI in Automotive
AI in the Automotive Industry
With data science and AI in the Automotive Industry, we help your company improve products, accelerate processes, and drive new digital business models.
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Your Experts for AI in Automotive
How AI in Automotive creates value
The Automotive Industry is undergoing a major transformation. New competitors, tougher ESG requirements, and rising customer expectations increase pressure on OEMs and suppliers. AI in Automotive is one of the driving forces revolutionizing the sector and affecting all areas and processes. AI offers the chance to solve complex challenges faster, more precisely, and more efficiently - from product development and manufacturing to the in-car experience.
To make sure OEMs, suppliers, Automotive finance providers, and fleet operators benefit from this transformation, we’re the partner at your side. Get tailored advice from our experts on AI in Automotive use cases such as EBIT forecasting, predictive maintenance, or personalized recommendation systems - and unlock the full potential of Artificial Intelligence in your company.
Use cases for data science and AI in automotive
KPI and Sales Forecasts
Make decisions based on reliable forecasts of your KPIs such as sales, turnover, costs, liquidity or EBIT.
Residual Value Forecast
AI in Automotive enables efficient, accurate valuation of lease vehicle residuals.
Digital Assistants
Make your driving experience more personalized with IoT applications, voice control, and digital assistants.
Analyse Telematik-Daten
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.
Quality Control
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.
AI in Automotive for Efficient Production & Data-Driven Decisions
A closer look shows what AI in Automotive can really achieve. It boosts efficiency and quality across core production and development processes. Predictive maintenance detects potential failures in machines, equipment, and vehicles early - reducing downtime and improving asset availability. AI-powered computer vision enables more precise quality inspections and significantly reduces scrap and warranty costs. In addition, AI-based driver assistance and testing procedures support the development of new features while improving safety and process stability.
Data science for Automotive also plays a central role in corporate management. With intelligent KPI, sales, and residual value forecasts, companies make more informed decisions and better plan risks, demand, and investments. AI in Automotive therefore contributes substantially to operational excellence and strategic, data-driven decision making.
Eine durchdachte KI-Strategie ermöglicht es Unternehmen, ihre spezifischen Ziele klar zu definieren, Anwendungsbereiche zu identifizieren und den Einsatz von KI-Technologien gezielt zu steuern. So wird sichergestellt, dass sämtliche KI-Initiativen auf die übergeordneten Unternehmensziele abgestimmt sind und eine solide Infrastruktur, verlässliche Datenbasis sowie das notwendige Fachwissen vorhanden sind. Eine strategische Planung minimiert Risiken, steigert die Akzeptanz und legt den Grundstein für nachhaltigen Erfolg mit KI.
Unsere Beratung zur KI-Strategie bildet das Fundament für die datengetriebene und KI-basierte Transformation Ihres Unternehmens. Gemeinsam erarbeiten wir, wie Sie die Transformation strategisch umsetzen und die erfolgversprechendsten Einsatzmöglichkeiten für Ihr Unternehmen auswählen können.
Connected Vehicles, Personalized Experiences & Intelligent Supply Chains
Inside the vehicle, AI in Automotive enables new connected experiences. Digital assistants, IoT features, and natural language processing create intuitive interaction between driver and vehicle. Personalized product configurations powered by AI ensure customers get the exact equipment and features they want. Connected-car data also delivers valuable insights for product development, marketing, and after-sales.
Across the value chain, Automotive data science increases transparency and efficiency. Analysis of telematics and usage data, plus AI-driven supply chain forecasts, order recommendations, and inventory optimizations, improve planning and utilization. Visual inspections in logistics and production can also be automated. In short, AI in the Automotive industry helps companies make vehicles, services, and supply chains smarter and more competitive.
Procurement-Suite
In this project, we developed a comprehensive procurement suite to support buyers, guiding the purchasing process from finding relevant suppliers to price negotiation.
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Application for creating Risk Reports
To address the issues of missing stability and lack of interactivity in risk reporting, an R Shiny application integrated into a CI/CD pipeline was developed. The goal was to meet industry-specific security standards while simultaneously improving the user experience.
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Operating Model
In this project, we worked closely with our client to develop an operating model for a newly established analytics department. This operating model defines collaboration processes to efficiently implement the strategic vision.
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Automated Deployment of R Shiny Applications
To implement a controlled and automated process for the deployment of Shiny applications, we designed and implemented a CI/CD pipeline solution for our client.
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Prediction of Quality Issues
In this project, we developed a machine learning algorithm that identifies emerging quality issues in the field and prioritizes them by importance.
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Sales Forecasting Automotive
In this project, we developed a machine learning model for car sales forecasting at both the overall and type-class levels for an international automotive corporation and implemented it into the client's IT infrastructure.
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Customer Segmentation Automotive
In this project, we developed a statistical model for customer segmentation based on panel survey data from our client, which specifically groups and analyzes customers with similar needs.
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Big Data Analysis Tool Automotive
For this project, we developed a scalable analysis tool for load collective and vehicle data in the terabyte range for our client.
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Big Data Analysis Dashboard
For this project, we developed a scalable online dashboard for our client in the field of big data analysis and telemetry, covering the usage of vehicles worldwide.
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Department-wide Data & Analytics Training Concept
For our customer, we developed and implemented a department-wide Data & Analytics training concept. It consists of four separate training paths to achieve specific qualifications.
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Adoption of Kubernetes Operating Platform
In this project, we helped our customer implement Kubernetes as an operating platform for cloud applications across the company, starting with a proof of concept (PoC) and ending with the completion of a minimum viable product (MVP).
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Forecast of Residual Value for Leased Vehicles
Together with our customer, an international automotive group, we developed a tool for predicting residual values of leased vehicles in this project.
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Discount Optimization
The project focused on the data-driven optimization of distributing discount budgets across individual vehicles for targeted inventory management.
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Time Series Forecasting Engine
In this project, we collaborated with our client to develop and implement a forecasting engine for arbitrary time series data.
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Demand Forecasting
To increase the accuracy of our client's demand planning, we developed a demand forecasting engine that combines a wide variety of machine learning and deep learning algorithms to predict the demand for over 20,000 products within the next 24 months.
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Prediction of Investment Costs
In this project, we developed a machine learning model for our client to predict annual costs and the timing of expected payments for investment projects.
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Supplier Recommendation Tool
In this project, we predicted the expected failure times of components and engine parts by applying machine learning and statistical models.
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Predictive Maintenance in Automotive
In this project, we predicted the expected failure times of components and engine parts by applying machine learning and statistical models.
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EBIT Forecasting
In this project, we developed and implemented a machine learning model to forecast the expected EBIT (Earnings Before Interest and Taxes) for the next one to three months.
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Introduction of a standardized framework for data integration at an automotive manufacturer
We developed a standardized framework for an automotive manufacturer to integrate data sources into a data lakehouse more efficiently and reliably.
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Optimizing the supply chain pricing strategy for an automotive supplier
We optimized the supply chain pricing strategy for an automotive supplier to achieve greater transparency in cost structures, optimized margins and greater efficiency throughout the supply chain.
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Increasing in-car service sales through a personalized recommendation system
We developed a personalized recommendation system for a car manufacturer that increases in-car service sales and improves customer satisfaction.
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A standardised reporting platform for the automotive industry
By leveraging cutting-edge web technologies, we developed a customized platform that simplifies access, usage, and management of data science reports while also being expandable.
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Efficient Fleet Planning through Frontend Data Visualization
We developed a custom frontend that equips our client for future challenges in strategic portfolio planning.
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Production Data Analysis with a Personalized AI Assistant
Our client sought a solution to access production data in real-time and natural language. We developed a generative AI assistant that makes complex data user-friendly and accessible without deep technical knowledge.
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Our strength
Our ecosystem enables a holistic view of Data & AI.
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Tools, Partner & Technology
10+
years of experience in Data Science, ML, and AI
100+
clients from 10 industries and growing
85+
experts from more than 17 fields of study
1,000+
successfully implemented Data and AI projects
Prepare today for tomorrow: AI Automotive
The future of the Automotive Industry is digital. Data science and AI are key to this transformation. They enable innovative services and new data-driven business models for connected vehicles, opening additional revenue streams. Today, AI combined with personalized, data-driven services can increase customer loyalty and improve the driving experience. AI also helps detect risks early, shorten development cycles, and bring technological advances faster to market.
The importance of AI in Automotive will continue to grow as vehicles, production processes, and services become more connected and software-driven. Adopt AI in the Automotive sector now to build a foundation that makes it easier to integrate future technologies and maintain long-term competitiveness.
AI in Automotive: How we support you
AI Consulting
Our consulting services focus on both technical and methodological skills, data literacy, and data culture, utilizing interactive and inspiring learning methods. We provide training for beginners, specialists, and executives.
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AI Starter Offerings
Are you just beginning your data and AI journey? We offer various workshops, training sessions, and ready-to-use AI solutions that are perfect for taking the first steps with data science and AI.
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AI Solutions
We develop data science and AI solutions tailored to your requirements. We support you from the initial idea to the productive solution and ensure smooth operation thereafter.
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AI Trainings
Whether technical or methodological skills, data literacy, or data culture - our formats rely on interactive and inspiring learning methods. We train beginners, specialists, and executives.
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Contact your experts for data and AI in Automotive
01
Free consultation
Discuss your challenges and goals in the area of Data & AI with us.
02
Tailored offer
Receive a customized and transparent offer.
03
Presentation & contract award
We present our approach to all relevant stakeholders.
04
Onboarding with project team
Our dedicated project team takes care of your needs.
AI in the Automotive Industry: Frequently asked questions and answers
How do companies specifically benefit from AI in the Automotive Industry?
Automotive companies benefit from AI by stabilizing production processes, reducing costs, and improving product quality. AI and data science enable precise forecasts, automated quality checks, personalized experiences, and more efficient supply chains - improving both operational performance and strategic decision-making.
What prerequisites does my company need to adopt AI in Automotive?
Successful AI projects require available data, clear objectives, and suitable technical infrastructure. You don’t need to be perfect to start - we support you from project start to finish.
How does statworx support companies with AI projects in Automotive?
statworx guides you from idea to production-ready AI solutions. We identify use cases, build custom models, create robust data architectures, and integrate solutions into your systems and processes. We also offer workshops, trainings, and AI upskilling so your team benefits sustainably from modern data science and AI technologies.
How long does it take to implement AI in the Automotive Industry?
Project duration depends on the use case. Proof-of-concepts or starter projects often take a few weeks, while larger solutions - such as forecasting models, quality procedures, or connected-car analyses - can take several months. With a clearly defined scope and agile collaboration, fast, measurable results are achievable.
