Effective Tracking Of Passing People For Marketing Using Deep Learning

Abstract

Today Pakistan‘s local brands need to approach for new marketing schemes in order to attract new customers as well as to retain the existing ones so they can compete with their foreign competitors. Many retailing companies are gathering data of their customers on basis of age and gender but it is a manual process to do it. The solution that we are providing is basically based on hyper-targeting which is focused on individual group of people that will help retailers/marketers to have a complete knowledge of their customer‘s demographics. The primary aim of this project is to determine in-store activity, help marketers analyze performance and success of their new product, manage staff schedules according to peak periods and maximize the sales potential. We are doing gender and age group segmentation with the help of deep learning algorithm i.e. MiniXception. In order to analyze the trends given from the statistical information through our system, customer information is displayed on a dynamic web application. The end application is a web service on which accurate demographics of the customers will be shown.