Autonomous Inventory and Logistics Using AIoT Swarm Intelligence: A Framework for Next-Generation Industrial Optimization

Swarm Intelligence, coupled with Artificial Intelligence of Things (AIoT), offers a transformative approach to managing dynamic industrial logistics. This paper presents an AIoT-enabled framework for autonomous warehouse operations using distributed robotic swarms. Simulating 1000 rows of operational data across five smart hubs, the study reveals swarm intelligence's potential in enhancing order picking, delivery coordination, and inventory tracking. The model leverages edge AI, cooperative sensing, and decentralized routing to adapt in real time. Results suggest marked improvements in operational efficiency, sustainability, and scalability, positioning swarm-driven logistics as foundational to future autonomous supply chains.