*This content was translated by AI.
Retail tech company Curly announced on the 8th that a research paper on production plan optimization published by the Curly AX Center was published in the world-renowned computer and industrial engineering journal "Computers & Industrial Engineering (CAIE)."
The "Data-driven order bundling policy: Focusing on the fulfillment center of Curly" participated by seven people, including researchers Wang Joo-young and Kim Soo-ji of the Curly AX Center Data Service Development, was highly praised for presenting a new direction to the logistics paradigm. CAIE Journal is an SCI Q1 (within the top 25%) grade and can be published only with both academic value and practicality.
Due to the nature of the labor-intensive logistics site, existing production optimization studies focused on shortening the travel distance of workers in the site. On the other hand, Curley's research team focused on solving the bottleneck of the product box (tote) in the conveyor belt by applying the corporate success equation that innovated the distribution process with data and technology. Unlike other e-commerce companies, which are centered on product brokerage, Curly was able to study because it was a business model directly responsible for commerce, logistics, and delivery, the company explained.
The research team started the study three years ago. Based on past logistics data, we developed an algorithm that predicts how many boxes each order will generate and then minimizes the number of product boxes generated. The fewer boxes generated, the less congestion at the logistics site, and as a result of demonstrating this on-site, the congestion decreased by up to 92% compared to the existing application method. Compared to metaheuristic techniques that are effective for optimization, it has also succeeded in improving efficiency by 33%.
The study was also invited and presented at the industrial engineering conference 'Logistics Management 2025' held in Milan in September. Academics and industry experts who attended the site paid attention to Korea's advanced logistics processes such as Saebyeol delivery. He also showed interest in the fact that research, which required long-term resources and manpower, was conducted directly inside the company without any help from academia.
Wang Joo-young, the first author of the study and a researcher who was in charge of presenting the conference, said, "This CAIE paper registration is a good example of Curly's leading global standards in data-driven logistics," adding, "We plan to continue various studies to contribute to Curly's growth, which has continued data-based distribution innovation."
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*This content was translated by AI.
