Telecommunications

20.4 billion Connected devices will be in use worldwide by 2020

Global AI in telecommunication market is expected to reach USD 1 billion by 2023 growing with 32% CAGR during the forecast period 2018–2023.
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How telecommunication providers are using machine learning and artificial intelligence to improve customer satisfaction

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Of service providers round the globe are expected to adopt AI within their network
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Repetitive questions currently answered by call center agents will be replaced through ChatBot
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Reduction in overall operational costs for network providers

The future of telecom analytics is driven by Artificial Intelligence…

Smart World Revolution

The number of connected devices is growing at an unprecedented rate. At an approximate figures, 20.4 billion smart devices will be in use by 2020 and that will require a lot of data consumption. On a daily basis, consumers are connected to various types of devices like smart phones, smart

TVs, home assistants, home security systems, internet driven cars via internet. This gives an immense opportunity to telecommunication providers to use AI driven solutions. With the help of CoRover AI platform, ISPs can better serve their customers and improve their customer satisfaction.
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CoRover’s offered ChatBot solution helps in answering customer’s repetitive queries without the need of call center agents. Most of the basic queries like understanding their billing cycle, generation of OTP, login related issues can easily be handled by ChatBot and this gives an immense opportunity

to ISP’s to save on their operational costs by 40%.
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ChatBot

AI based IVR System

CoRover offered intelligent IVR solutions helps customers to get their queries answered instead of being in queue to get hold of live agents. Based on the identification of the intent of the customers call, an intelligent IVR System can predict whether customers is asking for a call with a live agent or they

need certain clarifications for their accounts which doesn’t require a human to take these calls.
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The way CoRover Bot is built, it helps the telecom operators to address their customer’s queries and gives an opportunity to authenticate themselves and reminds them of late payment, new offers and products being launched recently. Also, based on the understanding of what customers are looking forward

to, it gives an opportunity to have a unique business collaboration opportunities with other service providers like ticket bookings, payments solutions etc. CoRover powered AI Platform can help telecom operators in sending relevant & targeted campaigns by understanding their past conversations, sentiments & purchasing power.
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Cross- Selling opportunities

Robotic process automation (RPA) for Telecoms

Internet Service Providers (ISPs) have vast numbers of customers engaged in millions of daily transactions, each susceptible to human error. Robotic Process Automation (RPA) is a form of business process automation technology based on AI. CoRover powered AI Platform which supports the RPA can

bring greater efficiency to telecommunications functions by allowing telcos to more easily manage their back office operations and large volumes of repetitive and rules-based actions. By streamlining the execution of complex, labor-intensive and time-consuming processes such as billing, data entry, workforce management and order fulfillment, RPA frees up ISP staff for higher value-add work.
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Telecom companies possess enormous amounts of data from customers. With the use of AI and machine learning, telecoms can extract meaningful business insights from this data so they can make faster and better business decisions. CoRover offered Machine learning algorithms are instrumental in

enabling the telecommunications industry to extract insights from their vast data sets, made it easier to resolve issues, manage daily business more efficiently and provide improved customer service and satisfaction.
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Data driven business decision

Sound Interesting! Find out more about how CoRover is using AI in the autonomous networks of the future.