关键词:
Retail stores
摘要:
Product bundling is one of the marketing strategies commonly seen in retailing industry. In addition, customers’ shopping behaviors might be different for the Chinese New Year holiday. This study uses the Apriori algorithm with support of 1%, confidence of 75%, and lift greater than 1 to analyze if member customers’ behaviors are different in terms of product bundles from a database of a supermarket in Taiwan. A fourteen-day period is split into two periods for a comparison purpose. Three rules are generated in the first period, while seventy-one rules are found in the second period, which can be further summarized into 24 general rules. The majority of product bundles in the second period include rhizomes combining other commonly purchased items such as pork, leafy vegetables, fresh eggs, flowers and fruits, mushrooms, soy products, and spices. Three general rules are exclusively found without rhizomes including combinations of coffee coupon and coffee (creamer) and mushrooms, hot pot ingredients, and flowers and fruits, and supermarket management should pay attention to not only rhizomes-related product bundles but also these three general rules without rhizomes. This empirical study provides how product bundling can be made based on the database of a supermarket in Taiwan. The process performed in this study can be further applied to other supermarkets for cross-selling, up-selling, and new product integration. © 2025, Chinese Society for Quality. All rights reserved.