Develop a mobile application for online fashion stores with personalized recommendation system to motivate consumer purchasing behavior.

In terms of digital marketing, recommendation system technology has been considered a promising approach to contribute towards the fashion domain. Most e-commerce applications use traditional recommendations system that suggest clothing items based on customers’ past purchases, similar buying patterns to other shoppers, and best sellers’ products. However, none of these applications offers recommendation algorithms that specifically taken into consideration a user's essential shape. In this paper, we built a mobile application for creating a personalized clothing recommendation system which significantly supports the women in purchase decisions. In the first part, we present the stages of the mobile application design process. Then, we display some screens of our mobile application, including an innovative feature that assists women in identifying their body shapes and recommends clothing categories that will flatter their specific body shape. Then we propose an “Image search” feature at our mobile application that enables user to capture or upload an image of a product they wish to search for and receive recommendations for the most harmonious clothing items from various categories. Finally, the application offers a size recommendation tool to provide tailored guidance on the size a customer should purchase.