Edge Computing in Logistics: Enabling Real-Time Data Processing Closer to Operations

As logistics networks become increasingly complex, the volume of real-time data generated by devices, equipment, vehicles, and facilities is growing rapidly. Traditional cloud-centric architectures, which depend on centralized processing, may not meet speed and / or reliability goals needed to support operational needs at scale.
Edge computing — processing data locally, near the source — has emerged as a method to address these challenges by reducing latency and improving resiliency.