Empower Your Business With The Magic Of Machine Learning!

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

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

It  predicts  what product customers want and informs them , each one individually about their own product.

The proposed products are in the form of carousels …

  • On the first page                                   -Recommended for you-

  • Below the product page                       – You might like this –

  • Under the basket                                  – Others also buy this-

  • When login

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

  • More New customers in the e-shop and
  • More repeat customers

Statistics on the performance of recommended products, click and purchsaes of these are shown through 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 see the Shopping Data of each e-shop , tune the Algorithms for optimal performance and this is an important different 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 they want without search !

About the https://www.cardinalbags.gr/

Athanasios Nomikos founded the company in 1953 and from the moment he started his own production he did not want to manufacture the luggage from leather, because it was a very expensive material and it took a long time to manufacture.

On the other hand this kind of luggage was heavy to transport.

So he decided to make a lighter in weight and easy to carry luggage from pressed sheets of paper with a nylon fabric on top.

This first piece of luggage was called paper-nylon.

In 1984 he founded the name Cardinal from the Northern Cardinal, who lives in Central America and south of Canada.

Athanasius Nomikos was very fond of birds, so he inspired
from the Northern Cardinal, because it’s a good singer, a strong bird with a very beautiful red colour.
Athanasios Nomikos was the founder and first member of the Greek Association of Travel Species.

He was the president of the Association from 1971 to 1975.

Athanasios Nomikos was awarded twice (1974 and 1977) with the gold medal for the best Greek product at the Thessaloniki International Fair.

The aim of https://www.cardinalbags.gr/ is to offer the customer an impressive shopping experience where he can discover products that will make his life better.

Artificial Intelligence and the mobiplus shopping personalization platform creates customized software for your business that guesses what products each customer will buy individually , based on your customers’ Shopping Data to date and decides what products each customer will see individually with great 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 should be shown in the e-shop and in the store to each customer.

Differently to each customer depending on the cluster they belong to.

The shopping journey he belongs to that is.

So it has paid ,by analyzing thousands of your customer purchases what product to show to each customer depending on their history.

So within your shopping data you have recorded trips.

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

Another trip is trip 125 where he gets A then Z , then H and so on.

And these trips will change over the years. Because your customers’ habits change.

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

It sees the new purchases your customers make and automatically adjusts the Trips (clusters) if they change.

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

So https://www.cardinalbags.gr/ guesses what Suitcases, Bags and Backpacks the customer will buy!

So it can  predict  what the customer will buy when he enters the e-shop using the above technologies and presents it on the main page, the cart and the product page.

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

This is what the world’s leading companies 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

“Item_ID”: “36909”,

“corr_specific”: 0.957259507435949,

“name”: “Βαλίτσα trolley (σετ 3 τεμαχίων ) μαύρη Cardinal 2004 μπλέ”

},

The eshop automatically sends to the Recommendation engine what product the user sees and the engine immediately returns the Recommended products.

Item_ID”: “13120”,

“corr_specific”: 0.9416452595552847,

“name”: “Δερμάτινο τσαντάκι ώμου Cardinal 7604”

},

{

“Item_ID”: “13126”,

“corr_specific”: 0.891477276963456,

“name”: “Δερμάτινο πορτοφόλι Cardinal 8929 – Μαύρο”

},

{

“Item_ID”: “13113”,

“corr_specific”: 0.8740665761555476,

“name”: “Δερμάτινο τσαντάκι μέσης Cardinal 8966 – Μαύρο”

},

{

“Item_ID”: “13480”,

“corr_specific”: 0.8589352827194637,

“name”: “Δερμάτινο τσαντάκι μέσης Cardinal 8966 – Μαύρο”

},

{

“Item_ID”: “9496”,

“corr_specific”: 0.8348653190311974,

“name”: “Τσαντάκι ώμου Τεχνόδερμα Cardinal 272”

},

{

“Item_ID”: “38752”,

“corr_specific”: 0.8281023314627751,

“name”: “Δερμάτινο πορτοφόλι Bull Captain SNB-028 μαύρο”

},

{

“Item_ID”: “38857”,

“corr_specific”: 0.7623834728876826,

“name”: “Δερμάτινο τσαντάκι ώμου Bull Captain  DJB 777 μαύρο”

},

{

“Item_ID”: “31248”,

“corr_specific”: 0.5609169591671147,

“name”: “Σακ βουαγιάζ Cardinal 55cm 1300/401 μπονρτό”

},

{

“Item_ID”: “31242”,

“corr_specific”: 0.5592045142712009,

“name”: “Σακ βουαγιάζ Cardinal 65cm 1300/403 μαύρο”

},

{

“Item_ID”: “30964”,

“corr_specific”: 0.5587285422846904,

“name”: “Βαλίτσες trolley (σετ 3 τεμαχίων) Cardinal 3200-μαύρη”

},

{

“Item_ID”: “46213”,

“corr_specific”: 0.4783772131320487,

“name”: “Δερμάτινο πορτοφόλι καρτοθήκη Bull Captain KB05 μαύρο”

},

{

“Item_ID”: “13114”,

“corr_specific”: 0.47814533465476816,

“name”: “Δερμάτινο πορτοφόλι Cardinal 6018 – Καφέ”

},

{

“Item_ID”: “38956”,

“corr_specific”: 0.47340572634224176,

“name”: “Δερμάτινο τσαντάκι body Bull Captain XB 110 σκούρο καφέ”

},

{

Παράδειγμα 2.

Όταν μπαίνει  ένας Πελάτης  ,user ID   21563 , το eshop στέλνει αυτόματα  στο Recommendation engine τον  χρήστη και το engine επιστρέφει αμέσως τα Προτεινόμενα για αυτόν το χρήστη.

“Item_ID”: “2456”,

“name”: “Σακίδιο πλάτης πόλης-ορειβατικό (ανατομική-πλάτη) Cardinal 911”,

“score”: 51.896000335483116

},

{

“Item_ID”: “9496”,

“name”: “Τσαντάκι ώμου Τεχνόδερμα Cardinal 272”,

“score”: 30.37780244244104

},

{

“Item_ID”: “9616”,

“name”: “Tσαντάκι ώμου Cardinal 723”,

“score”: 27.978428815143854

},

{

“Item_ID”: “9497”,

“name”: “Τσαντάκι ώμου Τεχνόδερμα Cardinal 273”,

“score”: 24.31904573585416

},

{

“Item_ID”: “9499”,

“name”: “Δερμάτινο τσαντάκι μέσης δέρμα Cardinal 117”,

“score”: 23.034177936752037

},

{

“Item_ID”: “8098”,

“name”: “Δερμάτινο τσαντάκι ώμου Cardinal 7604”,

“score”: 23.018717903012146

},

{

“Item_ID”: “12124”,

“name”: “Bαλίτσες trolley (σετ 3 τεμάχια) Cardinal 2000D – Μπορντό”,

“score”: 22.167024383854265

},

{

“Item_ID”: “8086”,

“name”: “Δερμάτινο τσαντάκι ώμου Cardinal 701”,

“score”: 21.61325574749884

},

{

“Item_ID”: “14637”,

“name”: “Δερμάτινος χαρτοφύλακας Cardinal 8523”,

“score”: 20.60175980279742

},

{

“Item_ID”: “12121”,

“name”: “Τσαντάκι ώμου Cardinal  396”,

“score”: 20.548885418169707

},

{

“Item_ID”: “12094”,

“name”: “Σακίδιο πλάτης Cardinal 901”,

“score”: 17.628546732321677

},

{

“Item_ID”: “31398”,

“name”: “Τσαντάκι μέσης Caterpillar 83432-01”,

“score”: 17.31293145308326

},

{

“Item_ID”: “35837”,

“name”: “Βαλίτσες trolley Cardinal set (3 τεμάχια) 2000E – Μαύρο”,

“score”: 16.151307764781784

},

{

“Item_ID”: “17397”,

“name”: “Δερμάτινο τσαντάκι ώμου 8558”,

“score”: 15.79015766502137

},

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

We need some help.

Help to discover a new experience, to become happy.

That’s what mobiplus shopping recommendation does today.

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

Contact us now to increase your e-shop and in-store revenue !

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

 You want 750 extra products in your cart in 10 days!

mobiplus Member Elevate Greece
Confirmed Innovation.

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