| dc.description.abstract | Online shopping is significantly increasing at a high rate, especially after the SARS
COVID pandemic. Nhat Tin Logistics has a fulfillment warehouse located in District
12, which is, processed to fulfill the goods to deliver them to customers. Nonetheless,
the higher demand needs higher efficiency in the working process to minimize the cost
and optimize performance in the business, especially in the Business-to-customer orde
type. Machine Learning (ML) algorithm is applied to solve the Nhat Tin Logistics case
study in terms of grouping orders. The results are then obtained using the Python
programming language, and the best model to use to solve the problem is chosen by
comparing the results for each type of cluster. The main objective of this study is to
group orders to the picking and packing phases of the fulfillment process. | en_US |
