Matching Consignees/Shippers Recommendation System in Courier Service Using Data Analytics

Applied Sciences

卷:10

Apichat Sopadang¹  Sakgasem Ramingwong¹  Jutamat Jintana² 

[1] Excellence Center in Logistics and Supply Chain Management, Chiang Mai University, Chiang Mai 50200, Thailand;

[2] Graduate Program in Industrial Engineering, Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand;

关键词: courier service;    recommendation system;    association rule;    clustering technique;    decision tree;   

DOI  :  10.3390/app10165585

来源: DOAJ

【 摘 要 】

The purpose of this research was to create a Matching Consignees/Shippers Recommendation System (MCSRS). We used the association rule to identify product associations, the clustering technique to group shippers and consignees according to behaviors when receiving goods from similar shipper groups, and the decision tree to identify possible matches between shippers and consignees. Finally, Monte Carlo simulation was used to estimate potential revenue. The case study is a courier company in Thailand. The results showed that garment products and clothes were the products with the highest association. Shippers and consignees of these products were segmented according to recency, frequency, monetary factors, number of customers, number of product items, weight, and day. Three rules are proposed that enabled the assignment of 8 consignees to 56 shippers with an estimated increase in revenue by 36%. This approach helps decision-makers to develop an effective cost-saving new marketing, inclusive strategy quickly.

【 授权许可】

Unknown