
The problem
”We all experience the world visually – yet nobody understands how to visually find products online.”
Current product discovery sucks in Fashion & Interior. Products are mainly evaluated visually, but eCommerce UX does not support this.
Traditional Search is far from meeting consumer expectations and declining attention span. Traditional keyword search does not scale: SKU count = size of business'es pain.
Users are forced to scout all pages - often unsuccessfully - on shop after shop.
- 98,6% of fashion webshop traffic does not convert. Shoppers are not finding what they look for fast enough.
= Technology increases conversion rate by 2.3%.
The solution
Current focus is on building and expanding a unified product discovery platform.
• Helping consumers quickly find and purchase what they are looking for across millions of products from many webshops
Three Current Navigation Technologies
• Visual Search: Click on a product = get a new feed sorted for visual similar
• NLP Search: Describe products visually in text = get a new feed sorted for similarity
• Upload IMG Search: Take or upload picture = get a product feed sorted for similarity
4th Navigation Technology Coming Up
• User personalized feed [Interact with products = surface more similar in main feed]
Product database is ready for scaling to millions of products.
Search models can handle unlimited user traffic, while being economically sustainable.
Search speed on millions of products > 100ms.
The business model
The solution generates retailers’ free traffic from sharing their products.
Shoppers easily and quickly find products they want to buy on the platform
• They are redirected to retailer webshops for purchasing.
An avg. 6% transactional cut is collected - on every order. [cut ranging from 2-30%]
The Team
A – CEO & Co-Founder, 10+ yrs business experience, Marketing & AI Product Growth [Raffle AI], Influencer Marketing & Community Building [Daniel Wellington, VeriSure, VeePee, etc.], eCommerce, Marketing & Product Management [Cofoco].
B – CTO & Co-Founder, Masters in Mathematical Modelling & Computation from DTU Compute, ex-DTU Compute Research, 1st employee at Raffle AI, 4+ yrs experience as Senior Data Scientist [Prototyping, Building Machine Learning Search & Analytics Models, Building Infrastructure, Hiring Tech Team]
Status
Raising EUR 500.000 in SAFE from BA’s (Strategic sparring partners + interested in joining upcoming rounds).
Have signed contracts with ASOS Germany, MOMOX, Vestiaire Collective, eBay, Amazon + more than 1,400 additional retailers. [Signed with product data access & transactional cut agreed].
Have partnered with leading affiliate marketing platform:
- • Helps expand the platform partnerships in the Nordics and soon US
- • Rev shares when onboarding new retailers
- • Signs contract with new retailers on behalf of platform
- • Improves product data quality on behalf of platform