Decision Intelligence to Enhance Bank Profitability through Customer Promotion Path Design
Studying the behavior of a bank's customers over time to determine and monitor their position in a customer segmentation system (CSS) could be the basis for producing and proposing some paths to promote the customers to a preferred level in the CSS. It is mutually beneficial for both the bank a...
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| Format: | Article |
| Language: | English |
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Ferdowsi University of Mashhad
2025-03-01
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| Series: | Journal of Systems Thinking in Practice |
| Subjects: | |
| Online Access: | https://jstinp.um.ac.ir/article_46265_be324a83dfe9022f8e371e3718cfec19.pdf |
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| _version_ | 1850187459032252416 |
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| author | Mohammad Amin Adibi Adel Pourghader Chobar |
| author_facet | Mohammad Amin Adibi Adel Pourghader Chobar |
| author_sort | Mohammad Amin Adibi |
| collection | DOAJ |
| description | Studying the behavior of a bank's customers over time to determine and monitor their position in a customer segmentation system (CSS) could be the basis for producing and proposing some paths to promote the customers to a preferred level in the CSS. It is mutually beneficial for both the bank and the customers. On the one hand, the bank increases its revenue by growing sales; on the other hand, the customers benefit from incentive allocation. In this research, with the help of the new concept of Decision Intelligence (DI) along with the machine learning modeling approach, customized paths were extracted that led to improving the level of the customers in the bank’s CSS. These paths are designed according to the specific circumstances of each customer and the scope of its business, which ensures its feasibility. The proposed method was implemented for 422,264 customers in a private bank, and the results show that this method has been successful in achieving successfully achieved the predefined goals. |
| format | Article |
| id | doaj-art-6883c84b4e334cec94c38f29740f8ea0 |
| institution | OA Journals |
| issn | 2980-9460 2821-1669 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Ferdowsi University of Mashhad |
| record_format | Article |
| series | Journal of Systems Thinking in Practice |
| spelling | doaj-art-6883c84b4e334cec94c38f29740f8ea02025-08-20T02:16:06ZengFerdowsi University of MashhadJournal of Systems Thinking in Practice2980-94602821-16692025-03-0141708210.22067/jstinp.2025.89642.111846265Decision Intelligence to Enhance Bank Profitability through Customer Promotion Path DesignMohammad Amin Adibi0Adel Pourghader Chobar1Department of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.Department of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.Studying the behavior of a bank's customers over time to determine and monitor their position in a customer segmentation system (CSS) could be the basis for producing and proposing some paths to promote the customers to a preferred level in the CSS. It is mutually beneficial for both the bank and the customers. On the one hand, the bank increases its revenue by growing sales; on the other hand, the customers benefit from incentive allocation. In this research, with the help of the new concept of Decision Intelligence (DI) along with the machine learning modeling approach, customized paths were extracted that led to improving the level of the customers in the bank’s CSS. These paths are designed according to the specific circumstances of each customer and the scope of its business, which ensures its feasibility. The proposed method was implemented for 422,264 customers in a private bank, and the results show that this method has been successful in achieving successfully achieved the predefined goals.https://jstinp.um.ac.ir/article_46265_be324a83dfe9022f8e371e3718cfec19.pdfcustomer segmentationdecision intelligencemachine learningcustomized banking |
| spellingShingle | Mohammad Amin Adibi Adel Pourghader Chobar Decision Intelligence to Enhance Bank Profitability through Customer Promotion Path Design Journal of Systems Thinking in Practice customer segmentation decision intelligence machine learning customized banking |
| title | Decision Intelligence to Enhance Bank Profitability through Customer Promotion Path Design |
| title_full | Decision Intelligence to Enhance Bank Profitability through Customer Promotion Path Design |
| title_fullStr | Decision Intelligence to Enhance Bank Profitability through Customer Promotion Path Design |
| title_full_unstemmed | Decision Intelligence to Enhance Bank Profitability through Customer Promotion Path Design |
| title_short | Decision Intelligence to Enhance Bank Profitability through Customer Promotion Path Design |
| title_sort | decision intelligence to enhance bank profitability through customer promotion path design |
| topic | customer segmentation decision intelligence machine learning customized banking |
| url | https://jstinp.um.ac.ir/article_46265_be324a83dfe9022f8e371e3718cfec19.pdf |
| work_keys_str_mv | AT mohammadaminadibi decisionintelligencetoenhancebankprofitabilitythroughcustomerpromotionpathdesign AT adelpourghaderchobar decisionintelligencetoenhancebankprofitabilitythroughcustomerpromotionpathdesign |