As 5G networks cover major cities worldwide, edge computing is emerging as the ultimate solution to latency issues in call centers. According to ABI Research, by 2025, over 50% of customer service interactions will involve real-time video or AR assistance, requiring end-to-end latency below 50 milliseconds.
Traditional call centers rely on centralized cloud data centers, where network round-trip latency typically ranges from 100 to 200 milliseconds, even from the nearest node. By moving AI inference and session processing to edge nodes (MEC) located near base stations, 5G+Edge Computing slashes interaction latency to 5-10 milliseconds.
A typical application is remote video repair: customers use their smartphone camera to capture equipment faults, while AI models analyze the feed in real time at the edge node and overlay repair instructions. In a 5G edge environment, video transmission and AI responses are nearly synchronous, eliminating the need for customers to wait for loading icons.
A Japanese telecom operator has already deployed this solution. Its customer service team leverages the low-latency capabilities of 5G edge computing to provide remote expert guidance to field technicians via AR glasses. The average call duration for one complex repair dropped from 45 minutes to 12 minutes, while the first-time fix rate increased to 95%.
GlobalConnect is piloting an "Edge Customer Service Node" in Europe, which integrates 5G network slicing technology and lightweight AI models. A single edge server can handle 200 concurrent video calls simultaneously. Initial tests show that customer satisfaction (CSAT) has increased by 22% due to the "zero-wait" experience.
However, edge computing deployment costs remain high. Industry analysts predict that as 5G standalone (SA) networks become widespread and edge hardware prices decline, this solution will enter the mainstream market by 2026.