Empower Your Business With The Magic Of Machine Learning!
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Empower Your Business With The Magic Of Machine Learning!
Products aesthetically similar by Colors, Shape and Style that they desire!
See below how Artificial Intelligence with Deep Learning using the photos of your products can predict what is the Style or Aesthetic appearance of each of your products , understand the Style of the customer entering your e-shop from your Shopping Data and help them find products in their style !
This means that the attributes defined for one type of style are never defined by another type.
Each style is managed separately and they are all independent of each other.
In the fashion world, “Style” is usually short for “personal style” or the way a person expresses themselves through aesthetic choices such as clothing, accessories, hairstyle and the way they put clothes together.
Fashion styles are constantly evolving, but there are certain trends that appear again and again in the runways and street style.
In women’s fashion style there are 33 categories today and some of them are:
Vintage , Artsy , Casual ,Grunge ,Chic ,Bohemian , Sexy ,Exotic ,Trendy Vibrant ,Preppy , Elegant and others.
Home appliances also have style. Whether you like glamour, minimalism or vibrant colors, you can choose washing machines, dryers, refrigerator freezers with a corresponding style.
Some of the styles are:
4. For traditionalists: There’s nothing wrong with the traditional ways. A white washing machine is a
sign of simplicity and freshness and can be installed very discreetly in any space.
Each style consists of individual furniture, decoration, lighting and accessories that give it its distinctive look.
There are about 50 top styles of home furniture styles and some of them are :
Victorian ,Traditional, Tropical, Transitional, Rustic ,Southwestern, Shabby-chic, Scandinavian, Contemporary, Eclectic ,Modern ,Beach style, Craftsman , Industrial , Farmhouse ,Mediterranean, Midcentury.
To learn how the top companies in the world increase revenue up to 30% from existing customers using Recommendation Systems and Personalization read the book below.
https://mobiplus.co/ebooks/customer-rediction/
Top companies in the world today such as Amazon , Home Depot , Netflix , YouTube, wall mart, alibaba and thousands of other e-shops use Deep Learning and Convolution Neural Nets along with other image processing algorithms. and Artificial Intelligence to be able to understand the specific features that their products have (photos ) , which customer buys which product and what style it is , so that they can present products of the same Style without him searching !
The mobiplus shopping personalization platform uses Collaborative filtering with Deep Learning and gives you the ability to recommend Aesthetically similar products that each customer wants !
Help customers find products aesthetically similar by Colors, Styles and Shape.
It solves the problem of cold start for new Customers and promotes the visual exploration of your eshop.
The system consists of the following functions.
It finds lifestyle categories as well as Silos (product groups e.g. coffee tables) in products using images.
Extracts features from the photo with Convolution Neural Nets.
Extracts the color, shape, texture, of the product and creates a unique Vector for each product.
Calculating similarity between Vectors via Cosine Similarity.
If you have thousands of products a matrix of thousands X thousands of combinations that is impossible to compute.
For this reason we use k–nearest search algorithms to compute the relationship between products.
Weights are added to each category created based on past views.
mobiplus member Elevate Greece
Confirmed Innovation.
Test out the Recommendation Engine for up to 20.000 euros in revenue from recommendations. No credit card required. Just enter your company information and we’ll contact you with all the details.
