Lucas Systems and Carnegie Mellon University Partner to Advance Warehouse Planning

News related to:Lucas Systems · 1 min read
WEXFORD, Pa., Oct. 21, 2026 /CourierPR/ -- Lucas Systems, a leading provider of warehousing and distribution center software, has partnered with Carnegie Mellon University (CMU) to advance algorithmic planning in the logistics industry. The collaboration aims to develop innovative tools that assist warehouse supervisors in making more accurate and productive workforce decisions.
According to André Lessa, the Director of R&D at Lucas Systems, the partnership is part of a broader effort to harness the power of data analysis for warehouse management.
As part of the project, master's level students in the Spring 2026 cohort of CMU's Master of Science in Applied Data Science provided prediction models after studying hundreds of data attributes related to warehouse users and behaviors.
Kent Szalla, the VP of Software Engineering and Customer Success at Lucas Systems, highlighted the potential impact of the research.
Nynke Niezink, an Associate Professor in the Department of Statistics and Data Science at CMU, emphasized the value of the partnership.
Lucas Systems, which has been creating industry-leading warehousing software for nearly three decades, has a history of innovation. Each new software release is designed to advance distribution centers' ability to compete more effectively under ever-changing market conditions. By integrating AI, machine learning, and optimization models, the company aims to provide operational agility and improved distribution center performance.
The partnership with CMU is just one of a number of ongoing collaborations between the two organizations.
The research and development efforts at Lucas Systems and CMU are expected to have significant commercial impact for thousands of companies in the logistics industry. By providing supervisors with the tools to make data-driven decisions, the partnership aims to revolutionize the way warehouses operate, leading to increased efficiency and productivity.