Empower Your Business With The Magic Of Machine Learning!
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Empower Your Business With The Magic Of Machine Learning!
An average e-shop today has 40,000 products and spends over 500 euros a month advertising to bring in customers.
It has about 5000 unique visitors a day and about 100 orders with a basket of about 70 euros.
Each user spends about 1.8 minutes in the shop and makes this journey 80% of the time on their mobile phone.
So it is very difficult in 1.8 minutes for the customer to discover the product he wants in your eshop.
This has been discovered by the oldest and thousands of other e-commerce companies in the world for several decades.
Companies like Amazon , Alibaba , Netflix , eBay and thousands of others with millions of products in their e-shop don’t wait for the customer to search for products within the e-shop but use Artificial Intelligence and Recommendation engineering so they can predict what customers want to buy and recommend it in the e-shop.
When the customer enters the e-shop , what he sees is fully personalized.
What Nikos see is diferent from Vassilis and Maria.
Using mobiplus shopping Recommendation the user will see
These will be different from customer to customer.
So users have learned to log in because they have understood that they will have an impressive personalized experience and will be able to discover products that will make them happy .
This personalization has significant accuracy because it comes from the purchase data you have in your e-shop , in your ERP from the receipts in the store as well as from Loyalty.
Through your customers’ purchases, mobiplus shopping recommendation technology with Machine Learning algorithms will find your customers’ existing clusters, which can be in the thousands.
He will find that Yannis buys Product A, then Product B, then Product C and then Product D.
And this is a journey.
Similarly, when Nikos has bought Products A, B, C then he will get D.
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/
And that’s what it recommends when he enters your e-shop.
All this based on your own Shopping Data that offers a significant accuracy to what your Recommender suggests.
This way you significantly increase the orders per day because more customers find what they want in your e-shop.
But you will have seen that many times customers buy two or three products together.
And this data is recorded in your business purchasing data.
It has been recorded that when someone buys product A, they also get product B.
So your recommender when the customer puts product A underneath in the cart recommends …..Buy together…..Product B.
So you make the customer happy because you have satisfied a need and you have also increased your cart.
The most important thing is that you offer an impressive experience to your customer where they can discover products that make them happy with minimal effort, stick to your shop and come back again and again to live the same experience.
Through the mobiplus dashboard you can see which products are recommended and which are being purchased.
Recommendation Engineering technology helps businesses to significantly increase their revenues by up to 30%.
30% of Amazon’s revenue comes from recommendations and is around 80Billion dollars a year.
70% of Netflix’s revenue comes from recommendations and is $15B per year.
Lartigiano increases revenue and cart using Artificial Intelligence!
See how he did it here!
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.
