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


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.



To build meaningful connections between customers and retailers through data analytics

Clothes Hanging

What We Do



Gain feedback on prototypes from consumers to produce winners. Reduce development ratios, costs and inventory risk


Plan Assortments with Confidence

Stop Guessing. Dive into marketplace trend insights to strengthen sales recaps and build agile collections with shortened development lead times



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



Use real-time market demand to fluctuate prices and take the guesswork out of the markdown process



Get your products tagged in-depth according to our uniquely extensive taxonomy to assist in product discovery on your own platform 

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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

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Julie Tzeng

Chief of Strategy

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Cal Wilmott

Chief of Operations

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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

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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

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