Richard is a 35 year old entrepreneur living in a big city.
Richard has a strong personality and value set, and
considers his style very defined. He knows the style and
type of outfits that suit his taste; he is always frustrated
by the lack of relevant personalization and off-the-mark
similar looks suggestions while shopping online.
Richard knows what he wants, and doesn't want to spend
his time searching for the right things. He values
convenient, effortless and time efficient shopping.
3x faster shopping
of favored products
purchase “full look”
of preferred style
Suzan is 27 years old, she is a popular fashion
blogger on Instagram.
Suzan is a top fashion expert and a heavy shopper,
and she is a fashion “icon” for her followers.
She considers looking stylish every day to be her job; it
is of key importance to her success!
Suzan follows all popular and emerging trends; she
needs to have an ability to shop for the looks she
finds online to keep up with the fashion.
Ability to pick
variety of products
of similar style
of wanted outfits
Head of Digital Marketing
Steve is 52 years old, he is an executive in a large apparel
As the Head of Digital Marketing, Steve is always looking
for the ways to boost the business and grow revenue, as
well as key commerce metrics and customer loyalty.
In today's digital world, Steve understands they have to
heavily employ technology to stay competitive in the
Next gen search
engine adopted by Steve
Technological advantage & innovation among competitors
- Savings of
up to 40 people
hours per month
- Positive impact on
satisfaction by removing
TRY IMAGES FROM OUR GALLERY
identification and attribution
Data Science solution that can:
any object in
objects in existing
Deep neural networks
were used to train models
Recommendations are performed
A couple hundred images per class
are enough for
95% accuracy of
Models could be
easily run as micro
integrated with any
- Implemented using