Empower Brands to Predict Demands
We believe one of the most important challenges modern retailers face is knowing precisely what their customers want and how to keep up with constantly changing demands.
To tackle this concern, we’ve built a proprietary machine learning solution that will transform the way fashion retailers deal with their customers and products. From managers to designers, our mission is to empower brands to predict demands and boost their business, turning data into powerful actions that will bring profitable results.
We help you make smarter decisions to earn stronger sales and higher revenue while staying rooted in our philosophy of DEERS: Data-Driven, Execution, Eliminating waste, Respect, and Simple & Secure.
Meet Our Team
Our team consists of experienced retail professionals, data scientists, engineers, and consumer psychology graduates from the US, Canada, and Hong Kong.
AJ Mak
CEO/Founder
Elvis L.
Lead Engineer
Douglas T.
Sr. Data Scientist
Wendy C.
Business Development
Aaron C.
Marketing Manager
Man C.
Office Manager
Derrick L.
Data Scientist
Simon T.
Jr. Data Scientist
Aiman A.
Software Engineer
Nikita M.
Full Stack Developer
Your Security, Our Integrity
As a company that processes mass amounts of big data to help maximize margins and optimize growth, it is only natural that data security is incredibly important to us. Since we are dealing with confidential data from retailers of all sizes, we make sure to follow best practices when reviewing, transferring, and cleaning data.
Your Security, Our Integrity
Serving as a company that is centered around learning and processing mass amounts of big data to maximize margins and optimize growth, it is only natural that data security is very important to us. Since we are dealing with confidential data from our customers, we make sure to follow best practices when reviewing, transferring and editing data.
Be A Part of Our Change
As our company continues to grow, we are always seeking skilled and enthusiastic talent to help maximize gains, minimize losses, and make a difference to the world at large. If you resonate with our philosophy and want to be a part of a dynamic team of data-driven professionals, apply below.