A comprehensive dataset of customer behavior in Latin American Fintech: 12-month transactional and demographic data for churn analysis. [PDF]
Data BriefMuñoz-Guerrero LE +2 more
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Linking customer big data analytics to firm performance: evidence from B2B organizations in an emerging market context. [PDF]
Front Artif IntellSoomro YA, Baeshen Y.
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A probabilistic framework for effective battery energy storage sizing in microgrids with demand response. [PDF]
Sci RepAlamir N +4 more
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Leveraging artificial intelligence for predictive customer churn modeling in telecommunications: a framework for enhanced customer relationship management. [PDF]
Sci RepAbdelhady MG, Mohamed KA.
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Marketing analytics in banking 4.0: A two-stage explainable AI framework for high-accuracy and well-calibrated predictions. [PDF]
PLoS OneNasir F +3 more
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Integrating Business Intelligence and CRM Systems With a Machine Learning Approach for Predictive Customer Retention in E-Commerce. [PDF]
ScientificWorldJournalZeinali M, Ramezani Asli L, Khalili MA.
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The adaptive engagement framework: enhancing banking customer experience through AI-powered invisible marketing. [PDF]
Sci RepShahbazi A +5 more
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Predicting repurchase behavior and optimizing marketing for e-commerce users with genetic algorithms and deep learning. [PDF]
Sci RepYang S.
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Predicting customer loyalty in omnichannel retailing using purchase behavior, socio-cultural factors, and learning techniques. [PDF]
PLoS OneRoosta S, Sadjadi SJ, Makui A.
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Examining the 'Consumer Repair Journey' and Business Intervention Opportunities to Enhance Customer Experience and Satisfaction. [PDF]
Circ Econ SustainDao T, Cooper T, Watkins M.
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