A machine learning framework for data-driven CRM
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In today’s digital world, enterprises accumulate large quantiles of customer data which drives firms to implement data-driven CRM strategies to manage customer relationships. In CRM, machine learning techniques are widely used as a tool for using customer data and thereby acquiring knowledge from such data. In this context, this research presents a holistic framework for the implementation of machine learning methods in data-driven CRM applications. The proposed framework relies on past transactional data of customers and employs state-of-art machine learning techniques. This research serves as a foundation for future studies on data-driven CRM applications utilizing machine learning techniques. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Açıklama
Anahtar Kelimeler
Artificial intelligence, Association analysis, Classification, Clustering, CRM, Customer attraction, Customer retention, Data mining, KDD, Machine learning, Regression
