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Lucas Systems and Carnegie Mellon team on warehouse workforce planning

Original: Lucas Systems, Carnegie Mellon apply data science to warehouse workforce planning

Lucas Systems is working with Carnegie Mellon University to apply data science to warehouse workforce planning. The collaboration aims to help distribution centers forecast labor needs and schedule staff more efficiently. The news, reported by Modern Materials Handling, highlights growing interest in using analytics to address labor shortages and rising demand in the logistics and warehouse sector.

Why now: Warehouses face ongoing labor challenges, making data-driven workforce planning a timely topic in logistics.

Lucas Systems Carnegie Mellon University Modern Materials Handling

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Lucas Systems, Carnegie Mellon apply data science to warehouse workforce planning · Modern Materials Handling

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