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

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.