Big Data Applications in Fashion

The meetup series focus on discussing use cases on how big data helps improve:

• Retargeting

• Inventory turnover rate

• Data collection types: Purchase intent, brand loyalty, aversion or attraction trends, color silhouette preferences, style types.

• Overcoming buying challenges through tech

• Social media and influencer Analytics

The goal is to connect fashion retailers and fashion tech startups.

6:00 Networking over wine and cheeses
Cheese platters sponsored by Kite Hill Artisan Plant Based Cheeses

7:00 Allison Lee, Founder & CEO at Hemster
Data-mining through personalized in-store experiences

7:30 Rachel Liaw, Co-founder & CEO at Fuse Inventory
New products forecasting for fast-growth brands

8:00-8:15 Closing remarks

About the Speakers:

Allison Lee, Founder & CEO at Hemster

Allison Lee grew her last iOT company 50x in a year through data-mining and launching data SaaS products. She saw tailoring as a unique and efficient tool to understand consumer's personalized fit, and started Hemster 3 years ago. Now Hemster is gearing to launch in 25 premium mall locations in 2018, collecting over 200K data points every month.

Rachel Liaw
Co-Founder and CEO, Fuse Technologies
Before founding Fuse, Rachel was a Co-Founder at Parasol Co and a supply chain manager at Kiwi Crate. She holds a B.A. from Stanford.