Rome AI’s Johannes Herter Making Waves in Supply Chain Management
Diving into the world of supply chain management, it seems like everyone is abuzz about tariffs, new hikes on Chinese EVs, and retaliatory measures on semiconductors. But while the headlines boast about smarter supply chains, the reality on the ground tells a different story. According to Johannes Herter, a key player at Rome AI, many global companies are still struggling with limited visibility in their operations. “We’ve been trying to up our forecasting game,” says Johannes, “but the real challenge lies in understanding what’s happening in real-time. Without that, even the most sophisticated predictions can fall flat.”
The Man Behind the Scenes: Johannes Herter
Not your typical logistics guy, Johannes Herter brings a diverse background in mathematics, machine learning, and system design to the table. With degrees from ETH Zurich and experience at Mercedes-Benz R&D, he’s no stranger to tackling complex problems. His journey led him to Harvard University’s Visual Computing Group, where he worked on cutting-edge generative models for dynamic scenes. This unique blend of expertise laid the foundation for his work at Rome AI, where he’s focused on revolutionizing the way global supply chains operate.
The Nitty-Gritty of Supply Chain Data
Johannes sheds light on the messy reality of supply chains, likening them to distributed systems running on a mishmash of PDFs, emails, and spreadsheets. When disruptions occur, such as tariffs or changes in freight lanes, the lack of a unified data source can lead to chaos. At Rome AI, Johannes has spearheaded the development of a foundational layer that harmonizes data from various sources, creating a reliable picture of current operations. This behind-the-scenes work ensures that Fortune 200 companies can navigate supply chain challenges with confidence.
Embracing AI in Logistics
In a world where AI is hailed as the answer to all problems, Johannes offers a refreshing perspective. He emphasizes the importance of real-time clarity over abstract predictions, highlighting the need for systems to grasp the present before venturing into the future. By creating a consistent, machine-readable view of operations, Rome AI is paving the way for intelligent supply chains that can adapt to changing conditions seamlessly. Johannes’ work may not always grab the spotlight, but it serves as the backbone for resilient and transparent supply chain operations in today’s volatile business environment.
