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- W3040425441 abstract "The relationships among various items in a group can be deciphered using a data mining technique such as market basket analysis (MBA). It plays a significant role in the analytical systems in supermarkets to determine the arrangement of goods, design of sales promotion and discounts for different customer segments to improve customer satisfaction and thereby increase the sales. This case study involves the use of data gathered from a supermarket as a database. Measures such as support, confidence and lift are used to measure the association between each product. Based on these values, association rules are generated. This information can give supermarket managers an edge over their consumer counterpart to strategically promote products and improve sales. These results also provide valuable insights for cross-selling, up-selling and new product integration tasks." @default.
- W3040425441 created "2020-07-10" @default.
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- W3040425441 date "2020-06-30" @default.
- W3040425441 modified "2023-10-18" @default.
- W3040425441 title "Market Basket Analysis: Case Study of a Supermarket" @default.
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- W3040425441 doi "https://doi.org/10.1007/978-981-15-3639-7_87" @default.
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