Анализ интенсивности посетительского трафика в фармацевтическом ретейле с использованием элементов обработки больших данных (Big Date)

Abstract

Extracting valuable insights from vast quantities of data becomes a key factor in developing new competitive advantages and companies' growth and creates the prerequisites for changing business processes in the pharmaceutical industry. The analysis of video data obtained from various sources is one of the methods for processing big data. Intelligent video surveillance systems built on hardware devices enabling solutions designed to automatically detect events that will match the predefined criteria and reaction to the systems disclosure according to the established rule in real time can analyse significant volumes of video information. The analysis was performed using a state-of-the art video monitoring system with a unique video analytics complex, which has the function of the People Counting module. The analysis of 800 GB of video data provided information on the visitor traffic dynamics during various working hours, which showed that the average number of visitors per time unit (hour) depends both on the time of year and the time of day. Nevertheless, the variability of pharmacy visitor traffic cannot be called high; it can be characterized as moderate (minimum 17%, maximum 40%). But even a moderate variability of visitor traffic affects the intensity of labour of pharmaceutical personnel.