"Suggesty" is ....
A recommendation platform that analyzes consumers' preferences through user's individual information enabling women ages 18-35 to browse through customized fashion item selections
Flickering through my phone on the bed before sleep became a routine and a ritual ages ago. Finding myself waking up hugging my phone is a norm these days. Suggesty was born in this mist of my separation anxiety with my phone. One hot summer night in the middle of frantic tapping and scrolling I found talking to myself: "I need a secretary who should organize this in a little neat form." Technology gave online shopping malls freedom and high speed wireless bandwidth made the world too vast giving me endless meaningless choices. I remembered my impulse buys from a beautiful model photo smiling at me or from a time ticking flash sales only to end in countless disappointments.
At some point too much freedom and choices became a source of stress in my online shopping experience. And I thought: "We need an expert"
A year later, we came up with a caring fashion expert genie who considered my preference, my physical appearance, my whereabouts and recommended only the best out fit customized for me. And after wishing it very hard, we managed to put the genie in a bottle called Suggesty and made it into an app for you.
"To discover YOUR style, and inspire OTHERS with your style"
What we Do
New platform for designers
New Suggesty platform provides unique opportunity for all designer around the world to launch their new product into the world. Suggesty is heavily product-focused compared to many brand reliant market platforms. We believe if the product has a good quality and a satisfying design they should all have a equal chance.
Business Values & Intelligence
Discovers emerging designers/brands
Brings highly edited selection of coveted new generation designers to Customers
Delivers a unique point of view and an individualized approach to shopping and personal style
User Oriented, New level of service
Personal shopper service
Longer & Deeper Engagement
Mass Customization at personal level
Preset style parameters based on customer profile
Product focused sale strategy
Stylist algorithm allows higher match rate for customers
Big-data based product search algorithm increases sale
Analysis of user behavioral data leads to better future planning
Future design strategy
Founder & Chief Executive Officer
Economics at Duke University
Zeta Interactive’s Marketing S.Director – New York
Chief Brand Officer, UI/UX Designer
BA in Graphic Design at Seoul National Univ
MBA in Design Management at KASIT
Hyundai Credit Card – Seoul
Fashion Trend Intelligence Analyst
Fashion Design at Fashion Institute of Technology (FIT)
Elie Tahari-Tahari ASL Design team – New York
Chief Technology Officer
M.S in Computer Science at New York University
TMAX Soft – Seoul
COO at Zeta Interactive
Columbia Business School
Expert in start-up business strategies
DR. JEFFRY NIMEROFF
Offer, Business strategy adviser
CIO at XL Interavtive
PhD. in Computer science from University of Pennsylvania
International Market Adviser / Asia Expert
CEO at JH Company
Owner of multiple Franchises in F&B business
Expert in Asian market & business strategy
Korean Operation Partner
CEO of fromzero
BS in Fashion design and International commerce from SungKyunKwan University
42 MEDIA CORP.
185 Madison Avenue
New York, NY, 10016
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