Leveraging Large Language Models to Automate SOP in Warehouses Managed by Warehouse Management Systems

Author(s)	Gautham Ram Rajendiran
Country	USA
Abstract	Warehouses that handle inventory management in logistics and supply chain typically involve the use of Standard Operating Procedures (SOPs) in order to deal with exceptional scenarios or to handle a very rare situation. This paper proposes a conceptual framework that leverages capabilities provided by Large Language Models (LLM) in order to build a system that can automate such SOP interpretation and execution. The system is designed adapting to different scenarios that can arise while working on a SOP. This idea sets the foundation for further research into scalable and adaptive SOP automation for warehouse operations.
Keywords	Warehouse Management, Large Language Model, Artificial Intelligence
Field	Engineering
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-11-08
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.5857

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