MATHEMATICAL MODELS AND ALGORITHMS IN LOGISTICS: REAL- WORLD APPLICATIONS AND AI IMPACT

Have you ever pondered the importance of mathematics in the field of logistics? Have you also reflected on whether a solid understanding of mathematical principles is crucial for achieving success in a logistics profession? This article explores the intersection of mathematics and logistics, shedding light on the indispensable role mathematics plays within the industry. By exploring practical applications, it provides insights into the mathematical concepts integral to the daily activities of logistics professionals. Whether aspiring to enter the field or carrying out further studies in logistics, this article offers a foundational understanding of mathematics' importance in logistics. In addition, we have also shown a case in which technological development and artificial intelligence are applied, where we have employed logistic regression, k-nearest neighbors, and random forest classifiers on data collected from Amazon to analyze customer reviews. Our results demonstrate that logistic regression outperformed the others, achieving an accuracy rate of 86.75%. This result is suggestive of the importance of this technique in building customer relations, particularly in their use in decision-making methods.