Optimising customer retention: An AI-driven personalised pricing approach

Yasin Ortakci*, Huseyin Seker

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    2 Citations (SciVal)
    Original languageEnglish
    Article number109920
    JournalComputers and Industrial Engineering
    Volume188
    DOIs
    Publication statusPublished (VoR) - Feb 2024

    Funding

    This work was supported by the Scientific and Technological Research Council of Türkiye (TÜBİTAK) under the BIDEB-2219 International Postdoctoral Research Fellowship Programme grant number 1059B192101063 .

    FundersFunder number
    Türkiye Bilimsel ve Teknolojik Araştırma Kurumu1059B192101063, BIDEB-2219

      Keywords

      • Artificial intelligence
      • Customer churn
      • Feature selection
      • Machine learning
      • Personalised pricing

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