Communications

Better understand customer behavior, minimize customer churn rate, and optimize products and networks.

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Why AI Now

5G is the latest paradigm shift underpinning the ubiquitous connected devices that run an unforeseen spectrum of applications and services. No longer is there a clear distinction between data and voice, content creation and delivery, and devices used for computing and messaging. The tremendous investment required to construct and maintain these costly networks requires operational efficiency that only an AI-driven buildout can achieve. Add changing regulations, new consumer usage patterns, and never-ending attempts at fraud and it’s no wonder analysts struggle to decipher the signal from the noise. With RapidMiner, communications companies can better understand customer behavior, minimize customer churn rate, and optimize products and networks

Communications Industry Use Cases

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Drive Revenue

1. Predict the best offers for                 consumers and drive                         personalized, omnichannel               campaigns

2. Prevent churn by predicting at        risk customers and delivering          profit-optimized incentives and      plans

3. Increase ARPU by pairing                  precision-targeted promotions      with the best price and service      offerings

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Cut Costs

1. Analyze network demand for           better QoS management and           capacity planning

2. Predict failure of devices or             network equipment and plan           ahead for repairs

3. Increase customer satisfaction     at lower cost by prioritizing             service requests

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Avoid Risks

1. Reduce fraud, SPAM and other       network abuse by predicting           and detecting the very first             indicators

2. Monitor customer sentiment           proactively for dissatisfaction
    and prevent negative brand             impacts

Business Value

A mobile provider predicted potential service revenue from corporate accounts and directs its salesforce to high value prospects, increasing revenues.

A provider of prepaid wireless accounts identified patterns that indicate likely customer loss, and reduced the rate of churn with targeted messaging and offers.

A cable and phone provider uses data from set top boxes and service records to predict malfunctions and proactively address them cost-effectively, while increasing customer satisfaction.

A provider of phone, internet and TV prioritizes and routes customer service inquiries based on severity of need and staff qualifications, decreasing costs and time to resolve, while improving customer satisfaction.

A phone provider identified hackers using business accounts remotely on weekends to call paid numbers, and can now prevent the fraud before it happens, avoiding customer victimization and decreasing its own cost liability.

A ISP monitors network traffic with AI for signs of SPAM and blocks it early, increasing customer satisfaction and boosting quality of service.

A carrier analyzed IoT sensor intelligence and identified and reduced machine-to-machine (M2M) security risks on its network.

Let us show you how data science can help you find the signal in the noise and be used to drive revenue, cut costs, and avoid risks

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