Proceedings of ICLT 2019
ON CLUSTERING TECHNIQUE OF DELIVERY PATTERN FOR CLASSIFYING COURIER CUSTOMERS
Jutamat Jintana; Sakgasem Ramingwong; Sainatee Chernbumroon; Apichat Sopadang; Tanyanuparb Anantana
Department of Industrial Engineering, Chiang Mai University, Thailand; Center of Excellence in Logistics and Supply Chain Management, Chiang Mai University, Thailand; Faculty of Business Administration, Chiang Mai University, Chiang Mai, Thailand; Department of Industrial Engineering, Chiang Mai University, Thailand; Center of Excellence in Logistics and Supply Chain Management, Chiang Mai University, Thailand
International Conference on Logistics & Transport 2019, Hanoi, Vietnam, pp. 26-26
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Abstract
Purpose: It is the aim of the study to classify courier customers based on their delivery pattern to understand customer behaviour and needs. Design/methodology/approach: The transaction data is mined using K-mean clustering technique to classify customer delivery pattern based on 7 factors, i.e., Recency, Frequency, Monetary, Weight, Day, Number of Product Category and Number of Customer. The data is taken from case study courier company in Chiang Mai, Thailand. Findings: Customers are classified as 5 clusters with different delivery patterns. Originality/value: The study transforms traditional transaction data into useful information. The information can be used by decision maker if any measures shall be deployed to increase customer satisfaction.
Keywords
Clustering Technique; Delivery Pattern; Courier Customer
Citation
Jutamat Jintana; Sakgasem Ramingwong; Sainatee Chernbumroon; Apichat Sopadang; Tanyanuparb Anantana (2019). ON CLUSTERING TECHNIQUE OF DELIVERY PATTERN FOR CLASSIFYING COURIER CUSTOMERS. Proceedings of the International Conference on Logistics & Transport (ICLT 2019), Hanoi, Vietnam, pp. 26-26.