The 2nd seminar of AiDLab Seminar Series was held successfully on April 29, in which Mr. KK Suen and Ms. Kim Wong joined Prof. Calvin Wong and Dr. Carman Lee to have a fruitful discussion on how retailers can leverage AI technologies for success! During the webinar, Prof. Wong and Dr. Lee introduced their latest AI innovations, including Mixi and an AI- based biometric data analysis platform, and explained in details how these AI technologies, both in theories and applications, can benefit well the retail business!
||Prof. Calvin WONG
Cheng Yik Hung Professor in Fashion, School of Fashion and Textiles, PolyU
CEO & Centre Director, AiDLab
AI in fashion retailing: Concept & Applications
To stay ahead of the intensifying competition, retailers must innovate to uplift online experience. While site speed, stability and delivery times are the traditional measures for optimising shopper experience, the provision of best-in-class search is paramount to drive sales and offer a seamless customer journey. Indeed, these AI-powered technologies have wide applications in the fashion industry. In this seminar, Prof. Calvin WONG is going to illustrate how these breakthrough technologies are going to fill missing gaps and enhance online shoppers' experience on product searching and styling advice.
|Dr. Carman LEE
Associate Professor of Department of Industrial and Systems Engineering, PolyU
Principal Investigator, AiDLab
Neuromarketing: capturing customer preference through biometric data
In this digital age, businesses are leveraging both explicit and implicit means to profile their customers and build a personalisation strategy. One possible way is to extract customer preference from biometric data including facial expressions, body gestures, and eye movement. In this seminar, Dr. Carman LEE will share an intelligent system for product design and retailing. It comprises a rating predictor system which predicts the rating a customer would give to an item based on biometric data; and a recommender system that provides personalised recommendations to customers based on the rating predictor system.
|Guest Speaker||Ms. Kim WONG
Strategic Advisor with extensive executive management experience in luxury retail
||Mr. KK SUEN
Councilor, Hong Kong Retail Technology Industry Association