Empower Your Business With The Magic Of Machine Learning!

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Customers can find products without searchand  also discover products they hadn’t imagined!

It uses  Artificial Intelligence , the Customer Shopping Data   it has in the e-shop  ,  mobiplus shopping recommendation platform   and offers a personalized  experience to the customer.

Predict  what product the customers want  and inform them , each one individually about their own product.

The proposed products are in the form of carousels …

  • On the first page.                           -Apply for you-
  • Below the product page.  .   – You may like this-
  • Under the basket.                         Others also buy this-

The personalised e-shop for each customer has the following important benefits for the business!

  • More New Customers in the shop and
  • More  Repeat customers

Statistics on the performance of proposed products, clicks and purchases of these are shown within Dashboard.

Using the e-shop shopping data from the past to the present, the mobiplus shopping recommendation engine is created which decides in real time which products will be recommended to the Customer.

And it has significant accuracy because it is created with Purchasing Data which means that users bought it.

The Machine Learning engineers of mobiplus look at the Shopping Data of each e-shop , tune the Algorithms for optimal performance and this is a major differentiator from our Competition.

The mobiplus shopping recommendation engine is in the cloud and is connected via API in an easy way from the e-shop Developer to the recommender  with javascript.

Thousands of businesses Internationally are using Machine Learning and Shopping Data and delivering amazing experiences to their customers !

Experiences where customers discover products they want to buy without effort….without search !

To find what you want without looking!

About pharma4all.gr

 

O  goal of the    pharma4all.gr   , is to  offer the customer not only a pleasant and seamless shopping experience, but also the opportunity to discover his best self, both externally and internally.

It has a huge variety of products. If the customer finds that there is not what he is looking for, he can call pharma4all.gr    and they will do its best to fulfill his wish.

It also has a large stock of all the products it sells and orders are processed internally.

This means that they process around 95% of all orders they receive on the same day.

When the order exceeds 39 €, it is sent free of charge to any part of Greece.

It also responds to any queries within 24 hours.

Loyalty to the customer is valuable for pharma4all.gr

The aim of pharma4all.gr is to propose the best solution for the customer.

For this reason it uses Artificial Intelligence , the purchase data of customers already in the e-shop and mobiplus shopping recommendation platform and thus can automatically and accurately recommend to each customer individually the product he wants to buy without searching.

So customers can now find products without searching and discover products they hadn’t imagined.

 

predict  what product your customer will buy and suggest it in the e-shop or in the store to make the purchase.

Don’t expect him to search .

H  Artificial Intelligence  and mobiplus shopping personalization platform creates proprietary software  tailored for your business  that predicts  what products each customer will buy individually , based on customer Shopping Data  to date and decides what products each customer will see individually with a high degree of confidence that they will buy them.

It processes  thousands of shopping data you have from your customers , builds the program    which will   decide   which products to show in the e-shop   and in the store   to each customer.

Different for each customer depending on the cluster they belong to.

The shopping trip where it belongs.

It  decieds by analyzing thousands of your customer purchases what product to show to each customer according to their history.

That is, within your shopping data you have recorded trips.

The customer gets product A , then B , then C and so on.

Another journey is 125 journey where it takes A after Z , then H and so on.

And these journeys will change over the years. Because your clients’ habits change.

But automatically the program that Artificial Intelligence has created for your business will also change.

It sees the new purchases that your customers make and automatically adjusts the clusters of your products. Clusters  if they change.

This program could not be created by a human being because it cannot analyse your customers’ journeys in such detail.

Thus, pharma4all.gr    predicts   what  health, beauty or wellness products the customer will buy!

So it can guess what the customer will buy when they enter the e-shop using the above technologies and present it on the main page ,cart and product page.

This way the consumer discovers products he wants to buy without searching!

This is what the leading companies in the world are doing today. Amazon….  Netflix…Target…Face book…Teleport and many others.

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/

 

The Machine Learning and Recommendation Engineering architecture used is:

  • Item-Based Collaborative filtering
  • Market Basket Analysis – Association Rules
  • Recommender Systems based on matrix factorization (SVD, NNMF)

  • Contextual Recommendation by taking into account the product description and applying TF-IDF

Example 1.

When a Customer sees the product with the code  code  ID 15624, the eshop automatically sends the product to the Recommendation engine and the engine immediately returns the Recommended for this product.

Example 2.

When a Customer  ,user ID  21563, enters, the eshop automatically sends the user to the Recommendation engine and the engine immediately returns the Featured for that user.

Many times when we buy things we are not sufficiently aware of our next choice.

We need some help.

Help us to discover a new experience , to become happy.

This is what mobiplus shopping recommendation does today.

It makes your customers happy, increases your revenue up to 30% and makes you happy too!

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 increase your e-shop and in-store revenues by 30%!

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