PROSPECTIVE RESEARCH IN THE DEVELOPMENT OF LOGISTICS ALGORITHMS FOR C2C DELIVERY OF SMALL FREIGHTS

Abstract

Consideration has been given to recent research on the development of logistic algorithms for the C2C delivery of tiny items. Current and recent research in this field is examined, including both the unresolved problems of the C2C logistics industry and the specific problems of extant logistic algorithms for implementing C2C logistic systems. According to numerous researchers, C2C logistics contributes to solving the so-called "last mile" delivery problem - the delivery from a local logistics center or post office to the final recipient. In addition to the apparent convenience for the average user of postal services, logistic systems that operate on a C2C basis contribute to the resolution of numerous economic and environmental issues. There are presently a number of unsolved problems in the field of logistic algorithms, including the development of algorithms that take into account real-world data. Most algorithms are based on pre-calculated or known data, which are typically averages or ideal conditions. However, in the real world, factors such as traffic, weather conditions, resource constraints, etc. can significantly affect the operation of algorithms. In addition to taking into consideration real-world data, it is necessary to develop algorithms that can predict future changes in order to improve the accuracy of predictions. Improving the accuracy of predictions can help algorithms become more efficient. Environmental considerations necessitate the development of environmentally oriented logistic algorithms. Increasing environmental awareness necessitates the development of algorithms that permit a reduction in environmental impact and the use of more environmentally friendly types of transportation and resources, which can help ensure the sustainability of logistics development and reduce its negative impact on the environment. Despite these obstacles, however, the development of C2C logistics remains a promising direction in the field of small-scale logistics, with the potential to revolutionize last-mile delivery and reduce the negative environmental effect of logistics. As a result, ongoing research into the development of logistics algorithms for C2C delivery systems continues to be an essential area of study. Recent and ongoing research in the field of logistics algorithms for C2C delivery systems has illuminated both the potential benefits and current challenges of this prospective area of logistics. It is essential for the continued growth and sustainability of C2C logistics to develop algorithms that can account for real-world data, enhance prediction accuracy, and incorporate ecological considerations in order to overcome these obstacles.