Kurly said on Thursday that a production planning optimisation paper by its AX center has been published in the industrial engineering journal Computers & Industrial Engineering (CAIE). The paper presents a data-driven order-batching model to address bottlenecks in logistics processes. The team developed an algorithm to predict and reduce the number of boxes generated per order using past logistics data. Kurly said field tests showed logistics congestion fell by up to 92 percent and efficiency improved by 33 percent compared with meta-heuristic methods.