The recommendations are presented to the user, through an API mechanism,  that connects to your e-shop , in store  intelligent shopping assistant display and many other points in the future.

• On your site when he enters to see any products for purchases

• In his mail

• On the messenger

• In your  smartphone application if you have one

• On his smartphone  through  mobiplus app wher he can have all the recommendations in one place.  app mobiplus

Through the mobiplus app , the user can choose your company and connect to your shopping recommender.

Also you can use the existing shopping preferences of the consumer to enhance your recommender.

The app asks him at appropriate times, additional product purchase desire data < preferences> and so you have new customers and shopping data.

• On his smartphone through  a browser that opens when connects with instore intelligent shopping assistant.

If the user data is available, we recommend products based on the user, together with item and feedback Hubrid recommender.

https://mobiplus.co/product-recommendations-nea-epoxi-artificial-intelligence-recommendation-engine-2-2/

To learn how the top companies in the world increase revenues up to 30% from existing customers read the following book.

https://mobiplus.co/e-books/e-book-proevlepse-ti-tha-agorasoun-oi-pelates/

Download and read our ebook on how in store Shopping Data make Retailers profitable

How to create a personalised e-shop. Household Equipment  with Artificial Intelligence and increase revenue by 30%?

Get 750 extra products in your basket in 10 days!

mobiplus  member  Elevate Greece
Confirmed Innovation.

Contact us now to see how the mobiplus shopping recommendation platform can increase your revenue by 30%!