Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach
In the dynamic landscape of supermarket retail, understanding customer behaviour is paramount for optimising business strategies and enhancing profitability. This paper presents a comprehensive data mining approach to analyse customer behaviour and build predictive models within the supermarket reta...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10542125/ |
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| author | Kavitha Dhanushkodi Akila Bala Nithin Kodipyaka V. Shreyas |
| author_facet | Kavitha Dhanushkodi Akila Bala Nithin Kodipyaka V. Shreyas |
| author_sort | Kavitha Dhanushkodi |
| collection | DOAJ |
| description | In the dynamic landscape of supermarket retail, understanding customer behaviour is paramount for optimising business strategies and enhancing profitability. This paper presents a comprehensive data mining approach to analyse customer behaviour and build predictive models within the supermarket retail domain. Leveraging advanced data analytics techniques, our methodology encompasses data preprocessing, exploratory data analysis, feature engineering, model selection, and evaluation. This paper presents a comprehensive approach to customer behaviour analysis and predictive modelling within the context of supermarket retail. We delve into the intricacies of data mining methodologies, exploring how retailers can leverage diverse datasets to uncover valuable insights and build predictive models that drive business growth and customer satisfaction. From data preprocessing to model evaluation, each step in the process is meticulously examined, highlighting best practices and key considerations for effective implementation. |
| format | Article |
| id | doaj-art-d5d1550c407647fcb981a30012f15c8f |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-d5d1550c407647fcb981a30012f15c8f2025-01-10T00:02:51ZengIEEEIEEE Access2169-35362025-01-01132945295710.1109/ACCESS.2024.340715110542125Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining ApproachKavitha Dhanushkodi0https://orcid.org/0000-0003-4509-2474Akila Bala1Nithin Kodipyaka2https://orcid.org/0009-0006-5102-1540V. Shreyas3School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Chennai, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Chennai, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Chennai, IndiaIn the dynamic landscape of supermarket retail, understanding customer behaviour is paramount for optimising business strategies and enhancing profitability. This paper presents a comprehensive data mining approach to analyse customer behaviour and build predictive models within the supermarket retail domain. Leveraging advanced data analytics techniques, our methodology encompasses data preprocessing, exploratory data analysis, feature engineering, model selection, and evaluation. This paper presents a comprehensive approach to customer behaviour analysis and predictive modelling within the context of supermarket retail. We delve into the intricacies of data mining methodologies, exploring how retailers can leverage diverse datasets to uncover valuable insights and build predictive models that drive business growth and customer satisfaction. From data preprocessing to model evaluation, each step in the process is meticulously examined, highlighting best practices and key considerations for effective implementation.https://ieeexplore.ieee.org/document/10542125/Customer behavior analysisdata miningpredictive modelingretailsequential pattern mining |
| spellingShingle | Kavitha Dhanushkodi Akila Bala Nithin Kodipyaka V. Shreyas Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach IEEE Access Customer behavior analysis data mining predictive modeling retail sequential pattern mining |
| title | Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach |
| title_full | Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach |
| title_fullStr | Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach |
| title_full_unstemmed | Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach |
| title_short | Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach |
| title_sort | customer behavior analysis and predictive modeling in supermarket retail a comprehensive data mining approach |
| topic | Customer behavior analysis data mining predictive modeling retail sequential pattern mining |
| url | https://ieeexplore.ieee.org/document/10542125/ |
| work_keys_str_mv | AT kavithadhanushkodi customerbehavioranalysisandpredictivemodelinginsupermarketretailacomprehensivedataminingapproach AT akilabala customerbehavioranalysisandpredictivemodelinginsupermarketretailacomprehensivedataminingapproach AT nithinkodipyaka customerbehavioranalysisandpredictivemodelinginsupermarketretailacomprehensivedataminingapproach AT vshreyas customerbehavioranalysisandpredictivemodelinginsupermarketretailacomprehensivedataminingapproach |