AI Driven Fashion
Tote is a personalized shopping platform that delivers insights on the changing consumer to retailers in order to better plan their assortment strategy
Swipes
Deliver Data
Tote’s AI-driven shopping platform helps your customers find exactly what they want...
...while giving retailers real-time insights into their likes, dislikes, wants & needs
This real-time swipe feedback puts you back in control.
Vision
To build meaningful connections between customers and retailers through data analytics
What We Do
01
Pre-Production
Testing
Gain feedback on prototypes from consumers to produce winners. Reduce development ratios, costs and inventory risk
02
Plan Assortments with Confidence
Stop Guessing. Dive into marketplace trend insights to strengthen sales recaps and build agile collections with shortened development lead times
03
Sales
Recaps
Get access to near real-time sales recaps that can be filtered by time period, attribute, and demographic to strengthen your decision-making processes and give you back your Mondays
04
Smart
Pricing
Use real-time market demand to fluctuate prices and take the guesswork out of the markdown process
05
Inventory
Tagging
Get your products tagged in-depth according to our uniquely extensive taxonomy to assist in product discovery on your own platform
Become Demand Driven
The Growing Data Gap in Fashion
The retail landscape is changing from a push to pull model. Customers are organically pulling inspiration from everywhere
It's no longer just about showing your products to customers. It's about having the right products for your customers
(McKinsey - The State of Fashion 2019)
Meet The Founders
Jake Sytner
Chief Executive Officer
Julie Tzeng
Chief of Strategy
Cal Wilmott
Chief of Operations
Our Advisory Board
& Partners
We couldn't do it alone.
We've surround ourselves with the top experts in both tech and fashion
Tote's advisory board is actively involved with the company's research and development, strategy, and growth
Maxime Cohen, PhD
Joanne Nemeroff
Bahar Satelli, PhD
Steve Brown
Retail Advisor
Merchandising & B&P Advisor
AI Advisor
Retail Analytics Advisor
Professor of retail management and operations management at McGill University, co-director of the Retail Innovation Lab. Previously at NYU Stern and Google AI with a Ph.D. in operations research from MIT
International retail leader with 25+ years in business strategy at brands like Holt Renfrew, La Senza, Sears, Call It Spring, Reitmans, and Frank and Oak. She is an active board member, advisor, and mentor
Senior data scientist in AI & Analytics. Forbes “Women in AI to Watch 2020.’ Bahar received her Ph.D. in computer science from Concordia University
Head of international markets merchandising at Calvin Klein. Global TED Speaker; TED talk on "How data is driving the future of fashion." 18+ years of experience in product development, merchandising, and buying
