The average revenue leakage per 5G roaming connection is set to decrease as telecom operators adopt artificial intelligence (AI)-driven segmentation solutions, according to a report from Juniper Research. The report states that by implementing AI, telcos can reduce revenue leakage from 5G standalone (SA) networks by enhancing resource allocation and introducing new pricing structures that reflect the higher quality of service (QoS) offered by these networks. With AI-driven segmentation, telcos can differentiate enterprise traffic based on use cases, enabling premium billing for mission-critical 5G standalone connections and consequently reducing revenue leakage. Juniper Research recommends the use of AI segmentation tools to address revenue leakage on 5G roaming, emphasizing the need for pricing strategies that align with the QoS provided by standalone networks. By applying individual pricing strategies to standalone and non-standalone roaming traffic, operators can ensure that pricing accurately reflects the level of service delivered. Additionally, utilizing these tools enables operators to identify enterprise traffic that is suitable for dedicated network slices, thereby optimizing the distribution of network resources. By employing AI-driven segmentation, telcos can monetize data-centric users more effectively, ultimately driving down revenue leakage.
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