Optimising customer retention: An AI-driven personalised pricing approach

Yasin Ortakcı; Hüseyin Şeker

doi:10.1016/j.cie.2024.109920

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JOURNAL ARTICLE

Optimising customer retention: An AI-driven personalised pricing approach

Yasin Ortakcı Hüseyin Şeker

Year: 2024 Journal: Computers & Industrial Engineering Vol: 188 Pages: 109920-109920 Publisher: Elsevier BV

DOI: 10.1016/j.cie.2024.109920

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Keywords:

Random forest Decision tree Revenue Feature selection Computer science Service (business) Support vector machine Feature (linguistics) Customer satisfaction Customer retention Naive Bayes classifier Machine learning Artificial intelligence Business Operations research Marketing Service quality Engineering

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12.07

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0.97

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Is in top 10%

Citation History

Topics

Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

Consumer Retail Behavior Studies

Social Sciences → Business, Management and Accounting → Marketing

Customer Service Quality and Loyalty

Social Sciences → Business, Management and Accounting → Organizational Behavior and Human Resource Management

Optimising customer retention: An AI-driven personalised pricing approach

Metrics

Citation History

Topics

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