Maximizing Value for the Automotive Industry with SAP Business AI

Several key trends and challenges are reshaping the automotive industry. Manufacturers are accelerating advanced automation to optimize the flow of goods and maximize asset and warehouse utilization. Persistent battery and chip shortages are disrupting production and highlighting the need for resilient supply chains and real-time analytics visibility. Customers increasingly expect vehicles to function as entertainment, productivity, and mobility platforms with personalized experiences. Companies must comply with evolving regulations while keeping manufacturing cost-effective and consumer focused. Additionally, sustainability imperatives, including circular economy strategies and CO2 reduction, are central to long-term resilience.

In response, industry leaders are leveraging AI to enhance supply chain visibility and responsiveness, deliver hyper-personalized mobility services, increase operational efficiency and reduce costs, unlock new data-driven revenue streams, and ensure ethical, transparent practices that maintain trust.

SAP Business AI helps transform the automotive business intelligently in several ways:

• Enhance Customer Centricity: Personalizing mobility services and improving customer satisfaction.

• Build Supply Chain Resilience: Creating robust and adaptable supply chains that can withstand disruptions.

• Drive Sustainable Performance: Tracking and reducing carbon footprints to promote sustainable practices.

• Optimize Data Strategy: Leveraging data effectively to gain insights and improve decision-making.

Honda Motorcycle & Scooter India Pvt. Ltd. (HMSI): HMSI needed a better way to produce management reports, and decided to use SAP Datasphere and other SAP solutions to consolidate companywide data into a powerful management dashboard for near-real-time reporting. It took 6 months to go live with a datasphere and digital cockpit, and 5 months to go live with a purchasing-model costing solution. This resulted in greater future-ready results with smarter management insights, and continued success with further adoption of SAP solutions. Learn more about this customer story here.

General Motors Company (GM): GM sought to transition from an automotive manufacturer to a technology platform provider, necessitating the elimination of legacy system complexities. Challenges included disjointed data integration, long processing times, and inflexible architecture. To modernize, GM adopted the RISE with SAP journey, migrating critical systems to the cloud and enabling over 100 developers to replace legacy systems with new applications. This resulted in 40% faster processing times, saving over 1,000 hours daily, streamlined architecture modifications, and 30 billion data records transferred, increasing business visibility and control. Data integration was enhanced, facilitating real-time insights and AI readiness, positioning GM for accelerated transformation. Learn more about this customer story here.

Daimler Truck North America (DTNA): DTNA transformed bidding processes with AI and automation, reducing bid time by 80%, increasing deal processing from 5 to 50+ per day, and enhancing pricing optimization. This resulted in improved competitiveness, revenue maximization, and better market positioning, while also enabling real-time decision-making for dealers. By implementing the price optimization model, more bid conversion and further reduction in manual effort by 60%.Learn more about this customer story here.

American Honda Motor Company Inc.: American Honda streamlined its HR operations by implementing SAP SuccessFactors HCM, consolidating three HR systems, five timekeeping systems, and two payroll functions into a unified platform. This integration provided a centralized view of associate skills, enhanced data-based workforce planning, and automated processes across the company. The simplification supports American Honda's transition to EV production and its goal of carbon neutrality by improving talent development and operational efficiency. More than 80% of associates are highly satisfied with AI-based innovations. Learn more about this customer story here.

Joule Agents are specialized AI agents that leverage SAP’s rich business data to handle complex, cross-functional business tasks. They can operate autonomously or in collaboration and are designed for deployment across various departments. These agents, either currently available or planned for future release, orchestrate end-to-end automation across diverse areas, enhancing efficiency and decision-making.

Here's a more detailed look at some of the available Joule Agents:

• Case Classification Agent: This agent automatically classifies incoming cases based on their content, routing them to the appropriate team or individual. This speeds up the resolution process and improves the efficiency of case management.

• Q&A Agent: The Q&A Agent provides intelligent answers to user questions based on available knowledge sources. It can quickly retrieve relevant information, reducing the time spent searching for answers and improving productivity.

• Knowledge Creation Agent: Automates the creation of knowledge articles from various sources, ensuring that the knowledge base is up-to-date and accessible. This agent improves knowledge sharing and reduces the effort required to maintain documentation.

• Quote Creation Agent: Streamlines the quote creation process by automatically generating quotes based on customer requirements and product configurations. This reduces the time and effort required to create accurate quotes, improving sales efficiency.

• Shopping Agent: Enhances the online shopping experience by providing personalized recommendations and assistance to customers. This agent can help customers find the products they need quickly and easily, increasing sales and customer satisfaction.

The planned for future release agents cover areas such as Customer Experience, Finance, Human Resources, Spend Management, and Supply Chain, providing comprehensive support for automotive businesses.