The customer churn process is vital to a company’s profitability, which indicates that the company needs to adapt to evolving customer demand and adopt disruptive technologies such as generative artificial intelligence (AI) to remain competitive.
Hoff, Fredrik
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Subscriber churn in the Australian ISP market
Rapid growth in Internet use, combined with easy market entry by Internet service providers (ISPs), has resulted in a highly competitive supply of Internet services.
Savage, Scott J +2 more
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Customer Churn Prediction Based on Sentiment Score
In recent years, the telecommunications industry has witnessed intensified competition, wherein the expense associated with acquiring new consumers exceeds that of sustaining existing ones.
Al-Safi, Shadha
core
A novel hybrid deep learning framework for customer churn prediction using RFM and embedding clustering. [PDF]
Sci RepIbrahim S +3 more
europepmc +1 more source
Improving bank customer churn prediction with feature reduction using GA. [PDF]
Sci RepT N N, Pramod D.
europepmc +1 more source
Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis. [PDF]
Front Artif IntellEl Attar A, El-Hajj M.
europepmc +1 more source
Leveraging artificial intelligence for predictive customer churn modeling in telecommunications: a framework for enhanced customer relationship management. [PDF]
Sci RepAbdelhady MG, Mohamed KA.
europepmc +1 more source
Multimedia data-driven customer churn prediction using an enhanced extreme learning machine. [PDF]
Sci RepLiu YW, Wang J, Liu C.
europepmc +1 more source
Customer churn prediction model based on hybrid neural networks. [PDF]
Sci RepLiu X, Xia G, Zhang X, Ma W, Yu C.
europepmc +1 more source
Customer Churn Prediction Using Big Data Analytics
, 2016 Customer churn is always a grievous issue for the Telecom industry as customers do not hesitate to leave if they don’t find what they are looking for.
TANNEEDI, NAREN NAGA PAVAN PRITHVI
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