Empower Your Business With The Magic Of Machine Learning!

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The customers now in  magento   e-shops can find products without search and  discover products they hadn’t imagined.

The magento e-shops use Artificial Intelligence,  Shopping Data of the customers they have in the e-shop, mobiplus shopping recommendation platform and offer a personalized experience to the customer.

They predict what product customers want and inform them individually about their own product.

And increase revenues by 30%

Magento  Mobiplus  Integration Plugin has the ability to interface the  mobiplus  platform with a Magento 2 online store in a  easy way.

It is ideal for businesses that are looking for a ready-made solution to provide personalized  recommendations to the  eshops customers.

By the term personalised e-shop, we refer to the unique user experience where the e-shop shows your customers products that they are really interested in. This increases the chances of additional sales.

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-

For e-shops in  Fashion and House products and furniture  can predict  the Style of the customer and  recommend  products of the same Style!

It understands from the images of the products it looks at in your eshop which is the Style she  likes  and recommends products with the same style.

It  recommends  next to the product she  is looking  now!

Read more here about mobiplus image shopping recommender!

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,  mobiplus shopping recommendation engine is created, which decides in real time which products will be recommended to the Customer.

The Purchase Data as well as the products   uploaded to the mobiplus shopping recommendation platform with an associated connector for magento.

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 with a relevant add on from  Redcase software  at the price of 250 euros,

The purchase of the add-on includes 1 month of technical support for proper operation. After 1 month you are provided with a support and upgrade package at a cost of 99€ / Year.

If you wish to have the add-on installed by the Redcase Software team, there is the possibility of a one-time cost of 150euros.

For. cost of mobiplus shopping recommendation platform  for your magento  e-shop see here…

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   search .

https://redcase.gr/ is an experienced magento developer in the Greek market with important implementations such as axel accessories, pakobazaar, silever house, etc.

Now in partnership with the mobiplus shopping recommendation platform enables magento      e-shops to be fully personalized.

Magento is an e-commerce platform based on open source technology that provides online merchants with a flexible e-shop. It is one of the most popular platforms among the leading brands in the world and in Greece.

Some of the features are

1. Better user experience

With Magento, it is possible to create e-shop designs of high aesthetics and performance that serve each user to the maximum.

2. Optimal appearance on mobile

Online stores using Magento can offer a better mobile user experience for every browser and device.

3. Competitive ranking on Google

Magento creates short and clear URLs, tags, names and keywords. This way it is easier for search engines to rank a Magento e-shop highly.

4. Flexibility

Flexibility of use is the biggest advantage of Magento. The Magento platform is highly scalable and flexible, serving any business model by offering usability and personalization of each e-shop’s requirements. This is why it is considered the best choice for large companies with many branches that need massive e-shop interfacing and for new companies that want to create their e-shop for the first time.

5. Easy management

Magento provides ease of managing your e-shop through a central control page (admin panel). This way, the professional can control, edit and add information about his products and e-shop with ease. In addition, Magento has a customer notification system (order confirmation, order status update, invoice dispatch, order completion) for greater ease of order management.

6. High degree of safety

Magento e-shop is a highly trusted and authoritative online environment operating through SSL and IP security. Customers can make their purchases within it with a feeling of confidence and trust, while at the same time, they can choose between various payment methods such as Paypal, Cash on Delivery and Credit Card.

7. Multiple e-shops on one website

Magento enables you to allow the user to manage many different Magento e-shop through a single page. This way, it becomes easy to control information about sales and customers through a single database, saving resources and valuable time.

8. Better product categorisation

Magento allows the categorization of products at multiple levels (e.g. brand, size, color, etc.) in order to achieve the maximum degree of detailed product search and product comparison. As well as in cases of discounts, the Magento platform allows for the application of discounts on products en masse (discount rules).

Now in cooperation with the mobiplus shopping recommendation platform enables magento  e-shops to be fully personalized.

So customers can now find products in magento e-shops without searching and discover products they hadn’t imagined.

Guess what product your customer will buy and suggest it to magento t e-shop.  make the purchase.

Don’t expect him to be looking.

H  Artificial Intelligence  and mobiplus shopping personalization platform creates proprietary software  tailored for your business  that guesses 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  decides 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.

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 code 13449, the eshop automatically sends to the Recommendation engine what product the user is seeing and the engine immediately returns the Featured.

Get recommendations for the item_id == 13449

Out:

  corr_specific Item_ID name
0 1.000000 13449 ELLESSE SUPERSMITH KID EL716419 20 ROYAL NNN%NN­ N!N­N%N
1 1.000000 16675 ELLESSE PLAY JR DEEP EL726450 01 NN NN
2 0.999999 17161 CHAMPION S31243 BS501 N!N­N%NNNN’NNN
3 0.999999 2347 NNNN CO CANVAS 437530 NN NN-400
4 0.979224 14975 CHAMPION SHOE S30920 KK002 NNN%N!N­ NNN!N
5 0.627843 28999 ROLY T SHIRT CAMIMERA CA0450 02 BLACK
6 0.594041 16353 GIVOVA TUTA EUROPA TR021 NN­NNNNN­ NNN%N!N­
7 0.584448 9592 GIVOVA CALCIO C001 N N­N!N$N­NNNN
8 0.576275 16307 GIVOVA TUTA KING LF21 NNN%N!N­/NNN$N!NNN­
9 0.566186 1431 GIVOVA PODIO G009 NNN%N!N­/NNN%NN­
10 0.550847 15992 GIVOVA BOX ALMASPORT EDITION 20 NNN$N!NNN­ NN NN
11 0.503618 20386 GEOGRAPHICAL NORWAY TUG FULL ZIP SQ315H RED
12 0.498184 14772 PUMA ENGINE 189514 02 NNN%N!N­
13 0.493410 16525 GIVOVA TUTA RELAX GOLD TRG01 NN NN NNN$N!NNN­
14 0.493024 16349 GIVOVA TUTA EUROPA TR021 NNN%NN­ NNN%N!N­
15 0.489267 1680 GIVOVA RAIN BASICO RJ001 N N!NN#NNN­
16 0.475843 1027 N&N­N%N$NN! UMBRO STOCK NN­NNNN­
17 0.474679 14421 PUMA EVOSPEED 5 5 IT JOUNIOR 103802 01 NNN%N!N­ NN­NNNN­
18 0.474615 16347 GIVOVA TUTA EUROPA TR021 NNN%NN­ NN NN
19 0.471159 16346 GIVOVA TUTA EUROPA TR021 NN NN N!N­N%N

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.

 

Get recommendations for the user_id == 21563

In [223]:

# excluding items that have already been bought

Out:

  score Item_ID name
1 51.645620 28962 ROLY T SHIRT ATOMIC 150 CA6424 02 BLACK
4 5.756756 1683 GIVOVA RAIN BASICO RJ001 NN N­N!NN$N­
5 3.637306 1682 GIVOVA RAIN BASICO RJ001 NNN%N!N­
6 2.290790 1686 GIVOVA RAIN BASICO RJ001 N!N­N%N
8 1.712607 16032 GIVOVA KIT REVOLUTION KITC59 NNNNNNN­ NNN%NN­ *Pre-Order
9 1.648528 28999 ROLY T SHIRT CAMIMERA CA0450 02 BLACK
10 1.111548 1681 GIVOVA RAIN BASICO RJ001 NN­NNNNN­
11 0.932665 24553 ROLY T SHIRT CAMIMERA CA0450 55 NN NN
12 0.846025 25234 ROLY T SHIRT BAHRAIN CA0407 01 NNN%NN­
13 0.826776 23040 ROLY T SHIRT BAHRAIN CA0407 02 NNN%N!N­
14 0.821495 1441 GIVOVA ARENA G007 NN NN
15 0.789864 20248 UNISEX NNN!NN­N%NNPLAYER PA0453 05 N!N­N%NNN NN
16 0.703578 21510 ROLY T SHIRT ATOMIC 180 CA6659 02 BLACK
17 0.700015 9134 REPLIKAS SOCKER TEAM REAL MADRID NN NN
18 0.651375 1679 GIVOVA RAIN BASICO RJ001 NNN$N!NNN­
19 0.614615 23041 ROLY T SHIRT BAHRAIN CA0407 60 NN­NNNNN­
20 0.605512 24158 ROLY NNN!NN­N%NNPLAYER PA0453 55 NN NN
21 0.575104 20621 PANTALONCINO GIVOVA ONE P016 0010 NNN%N!N­
22 0.557315 20620 PANTALONCINO GIVOVA ONE P016 0004 BLUE
23 0.431253 20833 ROLY T SHIRT CAMIMERA CA0450 02 NNN%N!N­

In [224]:

# including items that have already been bought

Out:

  score Item_ID name
0 109.290331 28998 ROLY T SHIRT CAMIMERA CA0450 01 WHITE
1 51.645620 28962 ROLY T SHIRT ATOMIC 150 CA6424 02 BLACK
2 28.016264 28965 ROLY T SHIRT ATOMIC 150 CA6424 58 GREY
3 13.523869 1684 GIVOVA RAIN BASICO RJ001 NN NN
4 5.756756 1683 GIVOVA RAIN BASICO RJ001 NN N­N!NN$N­
5 3.637306 1682 GIVOVA RAIN BASICO RJ001 NNN%N!N­
6 2.290790 1686 GIVOVA RAIN BASICO RJ001 N!N­N%N
7 2.069908 16820 GIVOVA RAIN JACKET GOLD RJG01 NN NN NNN%NN­
8 1.712607 16032 GIVOVA KIT REVOLUTION KITC59 NNNNNNN­ NNN%NN­ *Pre-Order
9 1.648528 28999 ROLY T SHIRT CAMIMERA CA0450 02 BLACK
10 1.111548 1681 GIVOVA RAIN BASICO RJ001 NN­NNNNN­
11 0.932665 24553 ROLY T SHIRT CAMIMERA CA0450 55 NN NN
12 0.846025 25234 ROLY T SHIRT BAHRAIN CA0407 01 NNN%NN­
13 0.826776 23040 ROLY T SHIRT BAHRAIN CA0407 02 NNN%N!N­
14 0.821495 1441 GIVOVA ARENA G007 NN NN
15 0.789864 20248 UNISEX NNN!NN­N%NNPLAYER PA0453 05 N!N­N%NNN NN
16 0.703578 21510 ROLY T SHIRT ATOMIC 180 CA6659 02 BLACK
17 0.700015 9134 REPLIKAS SOCKER TEAM REAL MADRID NN NN
18 0.651375 1679 GIVOVA RAIN BASICO RJ001 NNN$N!NNN­
19 0.614615 23041 ROLY T SHIRT BAHRAIN CA0407 60 NN­NNNNN­

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!

Connection to any magento e-shop with a relevant add on from Redcase software  at the price of 250 euros .

 

 

 

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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