IoT Sensors and Edge Computing Powering Real‑Time Supply Chain Visibility and Predictive Maintenance
Article from MHI Solutions Magazine
In today’s ultra-competitive logistics landscape, data visibility alone isn’t enough. Companies must act on insights in real time to prevent downtime, optimize operations and improve customer experiences. While supply chains have long collected data, traditional cloud‑centric architectures struggle to deliver the speed required for time‑sensitive decision‑making.
Edge computing is emerging as a pivotal solution to these challenges. This capability shifts data processing closer to where it’s generated—on the warehouse floor, in transit vehicles or at distribution hubs—rather than relying solely on centralized cloud services. While cloud platforms remain indispensable for long‑term analytics—such as creating models or generating inferences that can be executed at the edge and for cross‑enterprise reporting—they are not optimized for decision velocity. That is, the rapid interpretation and actioning of sensor data that keeps goods flowing, machines running and disruptions mitigated.
In a recent Logistics Viewpoints report, Jim Frazer, Vice President of Corporate Strategy at ARC Advisory Group, noted that logistics networks are generating ever‑larger volumes of data from Internet of Things (IoT)‑enabled devices, equipment, vehicles and facilities…
