Empower Your Business With The Magic Of Machine Learning!
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.
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 …
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!
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
With Magento, it is possible to create e-shop designs of high aesthetics and performance that serve each user to the maximum.
Online stores using Magento can offer a better mobile user experience for every browser and device.
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.
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.
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.
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.
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.
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/
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!
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.