在 AHASS 全面本田汽车官方研讨会上的消费者交易模式分析

Budi Wardoyo, Puji Winar Cahyo, Muhammad Habibi, M. Abu, Amar Al Badawi
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引用次数: 0

摘要

积累的数据由业务中的事实和交易事件组成,应加以处理和利用,以促进业务发展。目前,AHASS THM 拥有的数据尚未得到优化和进一步处理,以提供更广泛的效益,如促销和形成忠诚的 AHASS 客户。本研究的目的是分析现有的交易数据,以确定 AHASS THM 的消费者交易模式。使用的研究方法是市场篮子分析法(MBA),这是一种通过发现消费者购物车中不同商品之间的关联关系来分析消费者交易数据的方法。通过应用支持度 = 0.001、置信度 = 0.8 的最小参数限制,并根据置信度参数的大小进行排序,得到了 AHASS THM 企业消费者交易模式的 62 条关联规则。根据最大置信度值选出前 10 条关联规则,一般来说,这些关联规则的置信度参数大于 0.95 或 95%。此外,有 3 条关联规则的置信度值为 1 或 100%,表明消费者在购买轴承滚珠 6902U 或轴承滚珠 6902U 与 CVT 润滑脂 10 克或 Oli MPX2 0.8 公升的组合后会购买轴承滚针 20x29x218。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Pola Konsumen Dalam Bertransaksi Bisnis di Bengkel Resmi AHASS Total Honda Motor
The accumulated data, which consists of facts and transaction events in a business, should be processed and utilized for the progress of business development. Currently, the data owned by AHASS THM has not been optimized and further processed to provide broader benefits, such as promotion and forming loyal AHASS customers. The objective of this research is to analyze the existing transaction data to identify consumer transaction patterns at AHASS THM. The research methodology used is Market Basket Analysis (MBA), a method for analyzing consumer transaction data by finding associative relationships between different items in the consumer's shopping cart. By applying a minimum parameter limitation of support = 0.001, confidence = 0.8, and sorting based on the magnitude of the confidence parameter, 62 associative rules of consumer transaction patterns in AHASS THM business were obtained. By selecting the top 10 associative rules based on the highest confidence values, generally, these associative rules have a confidence parameter greater than 0.95 or 95%. Additionally, there are 3 associative rules with a confidence value of 1 or 100%, indicating that consumers will purchase Bearing Needle 20x29x218 after buying Bearing Ball 6902U, or a combination of Bearing Ball 6902U with CVT Grease 10 gr or Oli MPX2 0.8 lt.
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