José P. Chan is a senior retail executive, entrepreneur and educator that has spent 20+ years in the fashion retail and luxury goods sector and has worked for LVMH, Richemont and Roberto Cavalli. He has been on the Parsons faculty 12+ years. He is a Founding Team Member and Advisory Board Member of Celect, an award winning, retail technology firm that leverages machine learning in order to predict future outcomes. The firm was founded at the Massachusetts of Technology and works with large, well-known brands/retailers. It recently raised a series C round and is funded out of Silicon Valley and New York. José has held senior management positions reporting to CEOs and has extensive international management experience in buying, marketing, merchandising, planning, predictive analytics and has run retail store networks with P&L responsibility. He is an MIT Sloan Fellow.
José has been invited to lecture on Retailing at various industry conferences and numerous universities including: Columbia University (CBS), Cornell University (Cornell Tech/FSAD), Fashion Institute of Technology (GFM), Harvard University (HBS), Hong Kong Polytechnic University, Massachusetts Institute of Technology (Sloan), New York University (Stern), The University of Chicago (Booth), The University of Navarra (IESE), Parsons School of Design, The University of Rochester (Simon), XRC Labs and Fashion Group International (FGI). In addition, he is the co-host of the Brick & Data Podcast, a mentor at XRC Labs, New York Fashion Tech Lab and the National Retail Federation Student Association Faculty Advisor for the New School. A native New Yorker, Chan is fluent in Spanish, Italian, French and has working knowledge of German.
Massachusetts Institute of Technology - SM (MSc) Management of Technology
University of Rochester - MBA Finance
Cornell University - BS Management
Fashion Institute of Technology - AAS Design
Harvard Business School - Graduate Coursework
Hong Kong University of Science & Technology - Graduate Coursework
Chan, J.P. (June 2017). PP 12-15. Using Predictive Analytics to Meet Customer Expectations. Retrieved from Journal of Corporate Renewal http://www.tmajcr.org/journalofcorporaterenewal/june_2017/?pg=1&pm=2&u1=friend
Chan, J.P. (May 2017). Overcoming Inventory Allocation Obstacles in an Omnichannel World. Retrieved from Sourcing Journal https://sourcingjournalonline.com/overcoming-inventory-allocation-obstacles-omnichannel-world-cc/
Technology, Retail, Entrepreneurship, Management, Design
Accessory Industry (Spring 2019)
Core 3: Capstone (Spring 2020)
Marketing 3: Marketing Mgmt
Technology & Innovation