Artificial Intelligence and Machine Learning for Enhanced Customer Experience Management in Telecommunications

What does AI and customer experience have in common? How can enterprises use artificial intelligence for customer experience reinforcement? Discover the benefits of AI/ML in terms of enhanced customer care.

Dependencies between customer experience and artificial intelligence

The use of artificial intelligence as a means of determining and driving customer experience will take a great leap forward, helping telcos to better understand and serve their customers. Artificial intelligence and machine learning will bring together behavioral and conventional system-sourced data, location tracking, social media monitoring and other sources, to contextualize and personalize customer experience – in the real and online domains. These technologies will help operators develop empathetic marketing and target customers more precisely with personalized offers and services, creating new sales opportunities. In one domain in particular – that of chatbots (human to machine interfaces) – AI/ML will become further popularized.

Artificial intelligence for customer experience

AI investments will enable telcos to optimize network quality by smarter detection and anomaly prediction, assisted capacity planning, and self-optimization that responds to changing conditions. AI/ML will ensure more reliable services by using historical data and sophisticated algorithms for predictive maintenance, particularly as AI can deal rapidly with complex multi-factor root-cause or impact analysis.

Telcos will also have more advanced tools at their disposal to reduce fraud, by applying AI/ML to usage/location analysis of devices and services. In particular, operators will be able to uncover and halt roaming and SIM-based fraud for subscription services. In the pre-paid domain, AI will help detect abnormal accumulation of credit, top-ups based on stolen codes, and more.

In all AI and customer experience use cases, telcos will be able to utilize the data they already have

Many will go even further, implementing processes to further automate resource management.

While interest in blockchain decreases amongst telecoms, AI is truly a game-changer that is worth investment from every telco. With the popularization of SDN/NFV and edge computing on 5G networks, it’s certain we’ll see numerous new business cases in the coming months.


Dominik Pacewicz

 Learn how telecoms can prepare to deploy network slicing in the first episode of this year’s Comarch campaign, entitled “Telecoms Journey Towards 5G Monetization”.

How can AI-powered maintenance solutions help telecoms in monetizing 5G networks? 

How can communication and digital service providers make the #SmartFactory concept smarter? 

Learn more about developing a successful 5G monetization business strategy, by viewing the latest episode in our campaign.

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