CONSUMER PURCHASING BEHAVIOR ANALYSIS USING CVS POS DATA Article Swipe

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Kaoru Kuramoto , Yosuke Kurihara , Satoshi Kumagai ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.20472/iac.2020.053.010

In this study, the purchase behavior of customers is analyzed using the purchase history data of convenience stores for one year. Therefore, considering the number of visits to the store, the purchase price, and personal attributes, we use the maximum likelihood method to estimate the customer's selection probability of ?continuation? and ?separation?. AIC is used as a model evaluation index.

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Purchasing Continuation Advertising Selection (genetic algorithm) Consumer behaviour Index (typography) Maximum likelihood Business Marketing Computer science Statistics Mathematics Artificial intelligence World Wide Web Programming language

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Type: preprint
Language: en
Landing Page: https://doi.org/10.20472/iac.2020.053.010
PDF: http://iises.net/proceedings/iises-international-academic-conference-dubai/table-of-content?cid=100&iid=010&rid=12494
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DOI: https://doi.org/10.20472/iac.2020.053.010

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Title: CONSUMER PURCHASING BEHAVIOR ANALYSIS USING CVS POS DATA

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Type: preprint

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Language: en

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Publication year: 2020

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Publication date: 2020-01-01

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Authors: Kaoru Kuramoto, Yosuke Kurihara, Satoshi Kumagai

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Landing page: https://doi.org/10.20472/iac.2020.053.010

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Concepts: Purchasing, Continuation, Advertising, Selection (genetic algorithm), Consumer behaviour, Index (typography), Maximum likelihood, Business, Marketing, Computer science, Statistics, Mathematics, Artificial intelligence, World Wide Web, Programming language

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