Mobile Application with Artificial Intelligence Assistant to Improve the Logistical Process in Pharmaceutical Companies

Abstract

According to the World Bank (WB), an estimated 60% of pharmaceutical companies in developing countries report significant problems in their supply chain, often resulting in delays and financial losses. The objective of this study is to develop a mobile application with an artificial intelligence assistant to improve the logistics process in a pharmaceutical company. In this sense, the Cascada methodology was used, together with various computer tools, to develop the prototype. Favorable results were obtained with respect to the criteria of functionality, usability, innovation and technology. Concluding that the application meets all the necessary conditions to mitigate the problem of the logistics process in pharmaceutical companies.