Sicap uses AI to predict customer churn

Thursday 31 August 2017 | 14:24 CET | News

Sicap is launching the artificial intelligence enabler Sicap AI Engine. When combined with TargetMe, Sicap’s customer engagement automation platform, the new product helps mobile operators to predict and reduce customer churn.

Sicap AI Engine predicts and identifies churn-prone subscribers, by combining customer-related big data, statistical and analytical techniques and self-learning neuronal networks. The AI Engine makes use of customer data provided by Sicap’s device and SIM management platforms, as well as operators’ other internal and external data sources.

Before the AI Engine is deployed, its neuronal network system is trained by using an operator’s historic data. To increase the prediction accuracy over time, the training is continued using the operator’s actual data.

The product provides a churn prediction list including potential causes for churn and subscriber segments, based on their likelihood to churn within certain confidence intervals. The results are then used to automatically engage customers with targeted and personalized incentive programmes and offers, depending on the segment the subscriber belongs to. Accurate targeting results in more relevant offers, and prevents customers from churning, the company said. 

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