
Telecos acquire and service millions of retail customers by offering hundreds of pre and post paid plans. High customer churn and need for continuously running campaigns make it humanly impossible for telcos to monitor their operations and manage sales. Telcos are therefore turning to AI and Machine learning to segment their customers and design innovative campaigns. They are using GIS to map their assets and monitor service quality across circles. Further, they are deploying intelligent automation to conduct business transactions, managing contracts and interact with their customers.
With growth in mobile phones, increasing internet penetration, rise of OTT platforms and digitization of contents, intelligent systems are playing a critical role in managing media. While content is the king, ability to understand consumers’ content preferences and making the content available through the right channel at the right rate is equally critical. Media houses are increasingly using AI and intelligent automation to pump content to consumers and observe what works and what doesn’t.
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Be it online music videos, web series or film content on OTT platforms, pumping content over internet offers the biggest advantage of being able to closely understand the preferences of viewers which is not possible in case of cable television or cinemas. For online content consumption, it is possible to observe choices of content genre, music directors, actors, directors and even interest at frame-level at individual viewer level. While it is impossible to humanly conduct such a content affinity analysis for millions of customers manually, Machine learning models can assist in collating and summarizing such aspects. Further, ML models can offer near accurate recommendations to the viewers based on their past viewership history. That is how OTT platforms construct the “recommended for you” section. The ML models consider the types and genre of the movies that you watched previously and by analyzing your viewing trends, it recommends similar movie titles. As customer expectations evolve, personalized content curation can help brands getting a lead from competitors by customizing the content for target audience.
Such an intelligent automation can save precious time of resources in doing mundane tasks and improve customer satisfaction for turning around the renewal agreements quickly.
Case Studies
An IT Managed Services company
The company monitors clients’ IT infrastructure like servers and desktops and provides daily health check reports to its clients. We helped the client in using RPA for automatically conducting health checks and sending out daily reports by email.
Read MoreA Telco infra company
The company processes hundreds of utility bills every months emanating from across India. We helped client deploy intelligent automation to peruse hundreds of bills every week and generate payable data based on business rules and checks.
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