Empower Your Business With The Magic Of Machine Learning!
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Empower Your Business With The Magic Of Machine Learning!
Entering your e-shop, what keywords can the customer use to describe the following product in order to find it easily?
And in fashion e-shop, clothing, dressing, household equipment, furniture and other products, this is very important.
It is very important that the customer discovers a product in your e-shop that excites him!
Then it has come very close to purchase ..it is close to the cart.
And here the Style…..the image of the product is very important!
How would you feel if your e-shop could understand what Product Style this customer likes.?
To understand the special cuts or lines that he likes in the sofa he is looking in ?
What is the Style of the jacket he likes and automatically your eshop recommend it to him!
What is the particular colour or design she likes in the dress she wants to buy?
Let your eshop automatically help her to discover a coffee table with Style that will fascinate her!
Artificial Intelligence today enables your eshop to predict which is the Style of the product that each customer is looking for individually and recommend it.
It understands from the images of the products she looks at in your eshop which is the Style she likes from the thousands of products you have .
Won’t this offer an exciting experience to your customer?
Won’t this make it easier for them to buy more products from you?
Won’t you get more new customers in your eshop?
Won’t these customers come back again and again to find more exciting products from you?
Won’t they tell their friends to see this exciting experience in your eshop?
Don’t they discover products with the Style that excites them!
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/
mobiplus image shopping recommender uses Artificial intelligence and Convolution Neural Nets.
It processes more than 1.000.000 points in each product photo in your eshop and records the characteristics of the product image.
It captures about 200,000 attributes per product image and creates a vector of these attributes.
Then he finds the similarities between these vectors for all your product images via algorithms like Cosine similarity
That is, if you have 50,000 products…i.e. photos…
creates a 50,000 x 50,000 matrix with all the similarities comparing each photo to each other through 200,000 attributes.
And when the customer enters your eshop and sees a product underneath recommends products with the same Style.
Also customers can upload a photo to your e-shop, a jacket or a sofa or a bag that she has seen, and recommender her similar products that you have.
I
n the first column are the products that the customer now sees.
In the same row on the right are the products with the same style he recommends .
Above the image the percentage of similarity is indicated, e.g. 70%
The mobiplus image shopping revommender applies to all eshops and stores it is fast since it recommends product IDs, it is in the cloud with API connection and low cost.
https://mobiplus.co/annie-intelligent-shopping-assistant/
For eshop with a 10.000 products where style is important the price is 1200 euros per year plus VAT.
Take your eshop to the next level with mobiplus omia shopping recommender and increase your revenue by 30%
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.
