The project Fashion Awareness Customer Profiling (FACPROF) aims to create the necessary conditions for better management of stocks in the retail fashion products based on a characterization of visitors and their consumption, thus meeting the real needs of consumers.
The Centre for Computer Graphics (CCG) participates in the project through its Domain of Applied Research — CVIG (Computer Vision Interaction & Graphics) with the research and development of the module of characterization of visitors, which will make intensive use of computer vision techniques.
The goal is to extract information in 2 main levels:
The collected information allows the visitor “to be categorized”, thus helping to predict their purchasing profile and therefore lead to an optimization of stock management.
This optimization of stock management translates into greater availability of the parts and sizes intended by the consumers and on a better adjustment of the stock to the real needs.
Due to turnover in clothing and footwear retail, a small increase in sales, margins or a decrease in inventory cost can translate into significant increases in retailers’ results.