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Himadri Pandey, contributor

Himadri Pandey is an Applied Scientist for Lucas Systems where she develops algorithms, builds predictive analytics, and designs novel solutions for warehouse workflow optimization. Prior to joining the supply chain industry, she worked on high energy particle physics and spacecraft engineering problems. She has a B.S. from the University of Cincinnati with a major in Computer Science and minors in Physics and Math. Passionate about machine learning, Himadri is starting on her Ph.D. at Georgia Tech.
May - 2022 -
09 May
Himadri Pandey, contributor

Viewpoint: Get more dynamic with your slotting

In most cases, AI-based warehouse slotting can deliver 10-20% labor cost savings, a 1-5% improvement in accuracy and 20-40% increase in throughput.

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