Fashion Forecast: A Vision of the Future Product Design with Machine Learning

As a 168 years long history company, in order to remove the majority of manual efforts to collect trends, information, and data, we would like to demonstrate how Levis identified the most trendy fits, fabrics, and colors for a selected season using AI Machine Learning solutions (Nature Language Processing and Computer Vision) on top of fashion data (texts and images) in one and a half days Hackathon.

•  What is a cutting-edge fashion forecast solution in the fashion industry?
•  How do NLP on text and CV on images help each other for fashion forecast?
•  How a traditional retail company fast digitize as a data-driven AI-leading fashion company?

————————————————————————————————————————————————————

Alberto De Santos – Senior Data Scientis | Levi Strauss & Co

12+ years’ experience in applying advanced analytics, Machine Learning, Artificial Intelligence and Deep Learning for actionable business decisions, with a strong in-depth theoretical knowledge of statistical procedures (supervised and unsupervised learning, neural networks, reinforcement learning, transfer learning and active learning). Passionate about innovation and disruptive ideas based on data and algorithm. This innovation has derived into interesting products such as music creation with AI, data soundification and education.

Filipa Peleja – Lead Data Scientist | Levi Strauss & Co

Filipa Peleja is the Levi Strauss & Co Europe Lead Data Scientist at the Data Analytics AI team. She has always been enthusiastic about technology where she first stepped into the tech world as an undergrad in Computer Science and later Ph.D. in the Machine Learning domain. Her academic accomplishments were recognized with the 1st prize of an industry challenge from a telco and publications in international conferences among which, top tier conferences like SIGIR and ACL. Before joining Levi, Filipa interned at Yahoo! Research and, later, worked as a Sr Data Scientist at Vodafone. Filipa loves to work in an area that she feels very passionate about and also enjoys passing along knowledge, hence, she lectures, supervises projects/thesis for CodeOp, Neueda and Barcelona Technical School.

Qiang Meng – Senior Data Engineer | Levi Strauss & Co

Qiang Meng is a data engineer at Levis Strauss & Co. leading a team involved in building future data platforms across the entire fashion value chain from design and production to customer experience. Qiang has over 8 years of experience in creating enterprise analytics products applying Spark, Airflow, Python, and Cloud Services (AWS, GCP, and Databricks). In the past, Qiang worked on the Big Data Platform at H&M Group and Softbank Robotics Europe. Qiang also shared data engineering understandings in Data+AI Summit Europe 2020.  In addition, Qiang is a fashion designer and a proud member of the LGBTQI community.

Vicente Jose Rives – Senior Data Engineer | Levi Strauss & Co

I was born in Salamanca, Spain, and I have a sister. I went to Bristol, UK, for my year-abroad during university. After two years there, I moved to Barcelona, Spain, where I did a PhD on Experimental Particle Physics. After that, I joined the private sector and I have worked in a few companies, working in very different businesses. I really like Big Data and the idea of extracting as much information and insight as possible since I think it helps understanding the world we live in and it can provide better experiences for everyone for different aspects in life. I love travelling, sports and I am always trying to learn new things!