2020
DOI: 10.3390/app10165585
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Matching Consignees/Shippers Recommendation System in Courier Service Using Data Analytics

Abstract: 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… Show more

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Cited by 2 publications
(1 citation statement)
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“…Therefore, RS (M1) recommend a suitable new shipper to new consignee to expand customer base and increase the delivery volume in couriers business. 78 Advertising/public relations/digital marketing (M2) are the business model that connect potential customers through service and experiences. There are using traditionally methods or modern media, such as, blogs, social media, e-mail, Search Engine Optimization (SEO), viral videos, web-based seminars (Webinars), etc.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, RS (M1) recommend a suitable new shipper to new consignee to expand customer base and increase the delivery volume in couriers business. 78 Advertising/public relations/digital marketing (M2) are the business model that connect potential customers through service and experiences. There are using traditionally methods or modern media, such as, blogs, social media, e-mail, Search Engine Optimization (SEO), viral videos, web-based seminars (Webinars), etc.…”
Section: Resultsmentioning
confidence: 99%