The legacy warehouses were extremely rigid and imprecise. They had challenges in locating the precise location in the system. They also didn't map humans in the system. These restrictions limit WMS systems to accommodate real-world scenarios such as seasonality and dynamics recommendation of rearrangement of the warehouse based on demand. The modern breed of WMS systems is far more capable with the help of technologies such as machine learning and ultra-wideband.
In today's episode, we have our guest, Michael Pytel, who shares how he can create a far more precise digital twin of the warehouse by mapping warehouse workers in the system. He also touches on the deficiencies of legacy WMS systems and their implications on warehouse processes and workers, and how modern systems would make their life easier. Finally, he shares his insights about several technologies, such as how different business systems and warehouse hardware technologies such as AMR and ASRS would interplay in his system and how indoor positioning and 5G would improve the warehouses.
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