Empower Your Business With The Magic Of Machine Learning!
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Empower Your Business With The Magic Of Machine Learning!
How shopon.gr a leading e-commerce electrical and electronics appliances platform in Greece uses mobiplus shopping recommendation platform to offer personalized experiences to customers.
Customers discover products they love and are delighted from the prediction capabilities of the recommender system.
Customers in eshops which are not personalized have conversion rate 4% only and this increases dramatically with the use of recommendation engines.
shopon.gr offers personalized experience to users and has :
Recommender Systems are essential for ecommerce applications and now all modern e-shops have them built into their functionality.
Customers can thus find products without search and discover products they hadn’t imagined.
Mobiplus shopping Recommendation platform uses the Shopping Data already within the e-shop and machine learning algorithms and then creates seven (7) recommendation engines which connect to the e-shop.
So is your entire eshop is personalized.
The recommendation engines are placed and connected in the form of carousels and are:
1. Recommended products on the first page for guest.
After the user makes a few clicks it recommends products from the cluster that it finds that the user belongs to based on clicks, i.e. the products that the user is now looking to find.
On the first entry of the user it will see products that sale now and then after 2- 3 clicks goes to User Recommendation engine.
2. Recommended Products First page for user login.
Using user based recommendation architecture we take into account the user’s shopping history to date as well as the clicks he has made on the existing website session to better understand their needs.
Then we predict what products will buy next and recommended it using collaborative filtering architecture.
3. Related Products on product page for quest.
Below the product he sees now. It recommends products based on content recommendation architecture with word2vec and image embeddings from the cluster of these products.
They are from the same category or close to the category to help the user find the product he wants!
4. Buy together!
Recommended products in the shopping cart based on item to item recommendation architecture having found the products bought together for your e-shop…e.g. with shoes bought with socks!
5. Retraining engine.
When new products uploaded we use these data and we train the recommendation engines in real time so we can recommend new products immediately to customers.
6. Hybrid seasonality model.
Model that takes into account products bought at this time and corresponding seasons in the past and thus recommends seasonal products.
This model is added on top of the previous models.
Meet karetina , a busy professional who needs a new washing machine. katerina turns to Shopon, an e-commerce platform known for its seamless shopping experience and personalized product recommendations powered by the MobiPlus recommendation system.
Katerina logs into Shopon and types “washing machine” into the search bar. Instantly, Shopon’s user-friendly interface displays a list of washing machines.
Personalized Recommendations
As keterina scrolls through the options,moobiplus starts working behind the scenes. It analyzes katerinas past purchases, browsing history, and preferences. MobiPlus identifies that Sarah prefers energy-efficient appliances and often opts for mid-range price products.
Tailored Suggestions
Based on this analysis, MobiPlus prioritizes washing machines that match katerinas preferences. The top of the search results features energy-efficient models from brands she has previously purchased or shown interest in. Additionally, MobiPlus highlights washing machines that are popular among customers with similar preferences.
4. Related products
Katerina clicks on a recommended washing machine. The product page provides detailed specifications and high-quality images. MobiPlus also suggests related products, such as dryer bundles or laundry accessories, enhancing katerinas shopping experience.
5.Cart recommendations
Katerina adds a washing machine to her cart. At checkout, mobiplus suggests compatible laundry detergents and extended warranty options, adding value to her purchase.
By integrating mobiplus, Shopon ensures that katerina’s shopping experience is personalized, efficient, and enjoyable. MobiPlus’s advanced recommendation engine helps Sarah find the perfect washing machine without extensive searching, making her journey smooth and satisfying.
Read our book and learn why instore personalization and shopping data is the name of the game.
ShopON is an leading online store that offers a wide range of products in technology and electric appliances
They have many years of experience in the field of electrical and electronic appliancesand their customers have pushed them to enter e-commerce.
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.
