Low latency is the lifeline of real-time customer service interactions. The convergence of 5G networks and edge computing is fundamentally transforming this domain. According to the Ericsson Mobility Report, global 5G coverage reached 45% in 2024, and the edge computing market is projected to exceed $15 billion by 2027.
In practical customer service scenarios, a Japanese automaker deployed a remote visual assistance system using 5G plus edge computing. When customers show a car fault through their phone camera, AI analysis models run directly on the nearest edge node, reducing part and fault identification latency from the traditional 300ms to under 20ms, enabling near-real-time augmented reality guidance. In another case, a Chinese logistics company connected 2,000 distribution stations through a dedicated 5G network. Its customer service system tracks parcel locations in real time and proactively pushes estimated delivery times before customers even ask, boosting customer satisfaction by 25%.
Edge computing also resolves data sovereignty issues—sensitive voice data can be processed locally on edge servers, with only anonymized analysis results uploaded to the central cloud. GlobalConnect is currently testing its “edge customer service node” solution, which deploys core AI inference capabilities down to the 5G MEC (Mobile Edge Computing) platform, delivering ultra-low-latency, high-security customer service experiences for highly regulated industries such as finance and healthcare.