pacemaker and Stanford will work together in the field of data intelligence, developing new data science and AI methodologies. The research will focus on mathematical modeling and machine learning to achieve efficiency gains across various areas of the supply chain. Another focus area is analyzing and extracting relevant events to enable predictive decision-making processes and forecasting models.
pacemaker’s machine learning technology is already utilized by leading industrial companies to accurately calculate production and emissions forecasts. For instance, Berco, a global leader in undercarriage systems and components for OEMs and the aftermarket, uses pacemaker’s AI-powered forecasting solutions to improve data capacities. Likewise, Hettich, one of the world’s largest manufacturers of furniture fittings, enhances the resilience of its capacity planning through the implementation of pacemaker’s SaaS solution.
“With this partnership, we are in an even better position to keep our solutions continuously at the cutting edge of technology,” explains Prof. Dr. Reiner Kurzhals, Professor at University of Applied Sciences Münster and Data Science Advisor at pacemaker. “The global AI race is heating up. Collaborations like this, where a top American university teams up with AI specialists from industry, give us a real chance to keep pace with rapidly growing competition from China.” Kurzhals founded Westphalia DataLab in 2017, which received an AI award in 2020. In 2022, it was acquired by pacemaker and fully integrated into the company, now part of the technology giant thyssenkrupp.
“Innovation and excellence in the supply chain are essential elements of our strategy at thyssenkrupp Materials Services and critical to enhancing our customers’ competitiveness worldwide,” says Patrick Marous, CEO of Business Unit Solutions and Member of the Executive Committee at thyssenkrupp Materials Services, one of the world’s leading independent materials distributors and service providers.
Eric Darve, Professor of Mechanical Engineering and Director of the Institute for Computational and Mathematical Engineering (ICME), states, “We are excited to welcome thyssenkrupp to the Stanford ICME Affiliate Program. Our goal at ICME is to prepare the next generation of computational scientists and engineers to tackle major societal and technological challenges. Together, we will take on a pioneering role in areas such as algorithms and optimization, machine learning, data science, and computational finance and play a key part in shaping the discourse around these topics.”
pacemaker’s team consists of industry and AI experts. “By combining research with our industry expertise, we are already delivering quickly deployable solutions with an accuracy exceeding 90%, far above the industry standard. This enables our customers to make data-based planning decisions that conserve resources, increase efficiencies, and reduce costs,” adds Christian Jabs, Chief Executive Officer of pacemaker.
“We look forward to the collaborative projects and the exchange with researchers. The economy needs collaboration with AI science to make itself and its supply chains resilient and future-proof,” concludes Dr. Patrick Petter, Lead Data Scientist at pacemaker and initiator of the partnership, who holds dual degrees in Mathematics and Astrophysics from the University of Berkeley.
About pacemaker
pacemaker.ai is a pioneer in sustainable, AI-driven supply chain solutions. Founded as a corporate venture by thyssenkrupp, pacemaker.ai offers modern, tailored software solutions to optimize global supply chains, designed by industry for industry. The solutions, customizable to individual client needs, focus on demand forecasting and carbon intelligence, leveraging a combination of raw data, industry expertise, and machine learning to deliver highly accurate forecasts and metrics to clients across various sectors. This enables pacemaker.ai’s customers to make data-driven planning decisions, conserve resources, improve efficiencies, and reduce costs. With an interdisciplinary team and close research connections, pacemaker.ai is shaping the future of global supply chain management. Sustainably better.