SHALIMA BHALLA
Using telco data to predict customer problems The opportunity over the next three years centres on how operators use customer data, Shalima explains, while“ leveraging that data efficiently to predict intent and solve problems, even before customers know about them.”
A network problem detected and fixed before service degradation reaches the customer eliminates the support interaction entirely. From an operator’ s perspective, this prevents a negative interaction that might damage retention. From the customer’ s perspective, service simply works.
Cloud Service Providers( CSPs) such as AWS, Google and Microsoft provide the infrastructure to aggregate data from multiple sources, apply machine learning models to identify patterns and trigger automated responses. The question is how quickly operators implement systems that identify issues, resolve them and notify customers after the fact.
5G deployment changes what contact centres can offer beyond this predictive capability, enabling augmented reality and virtual reality-based support experiences. For instance, an agent could walk a customer through router configuration by sharing a virtual representation of the device, highlighting specific ports and settings in three dimensions. Contact centres could evolve beyond call handling into command centres that converge Internet of Things data with customer experience management.
What separates proofof-concept from production Operators have completed their pilots. The technology exists. Cloud architecture has matured from early adoption into mainstream deployment and AI capabilities have moved from experimental to production-ready.
The shift now is from proof-of-concept fatigue to production deployment that moves business metrics. Operators have historically managed contact centres for efficiency metrics like average handle time and first-call resolution. These metrics matter for cost control, but they miss the larger opportunity. The data flowing through contact centres carries signals about product issues, pricing problems and churn risk that affect revenue directly.
An operator that identifies these signals and acts on them treats the contact centre as a strategic asset rather than an operational cost centre: a shift that requires organisational change beyond technology deployment. Finance teams need to value retention signals differently, product teams need real-time access to customer feedback and marketing teams need to design campaigns based on contact centre patterns. The operators that succeed will be those that reorganise around customer experience as a business-wide function rather than a single department’ s responsibility.
“ Customer experience is a responsibility of each and every part of the business,” Shalima says.“ Businesses that understand that and leverage platform, technology and partnerships to enable it are the ones that will succeed in the next decade.”
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