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fylliana.gr   predicts what house, garden, office products the customer will buy.

Fylliana  is a leading online furniture e-commerce platform with more than 70.000 products related to the house and 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.

Fylliana.gr  offers personalized   experience to users and has :

  • higher conversion rate of new customers
  • larger Average Order Value and
  • more  Repeat customers

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.

 To learn how the top companies in the world increase revenue up to 30% from existing customers read the book below.

Let’s see now the customer experience!

Lets explore the  experience  of online shopping as we dissect  in a  journey of a consumer seeking the perfect  chair on   fylliana .gr

Entering the  digital expanse of fylliana.gr, the customer , a discerning consumer in search of the perfect home  chair, steps into a virtual sanctuary of furniture elegance.

The webpage, which is filled with  couches, armchair  and  beds, opens up to her .

It welcomes her into an elegantly designed universe.

The doors of  fylliana.gr open in her virtual presence, exposing an entrancing assortment of home furnishings.

The atmosphere is infused with a sense of sophistication   and sets the stage for a delightful shopping experience for the customer.

The customer , with the excitement of a movie’s leading lady, begins her exploration.

 The e-shop, like a skilled director, unfolds a series of thematic collections. 

Each click reveals curated   ensembles (because the recommendation engine predicts better what products will delight her), from cozy armchairs to elegant home  chairs , teasing the potential of her perfect find.

Without a specific chair in mind, our consumer encounters a carousel of “Recommended for you.” 

The carousel, animated with style options, ergonomic wonders, and varied price points, dances across her screen like a scene from a dream.

 Emotions of curiosity and anticipation surge as she allows the carousel to guide her towards her perfect seat.

Armed with a vision and a budget, our  customer  her desired price range. 

The e-shop, much like a skilled scriptwriter, filters out options that align with her financial parameters. 

The journey becomes not just about the chair but about an experience tailored to her preferences and budget.

The journey unfolds with emotionally charged discoveries. As she scrolls, each chair tells a unique story.

 From the plush comfort of executive office chairs to the sleek designs of modern workspaces, she feels a connection with each product, each telling her, “I could be the one.”

And then, like the climactic scene of a movie, it happens—the “Aha!” moment. 

There, nestled within the recommendations , is a chair that beckons to her. 

The perfect blend of style, comfort, and, most importantly, within her envisioned budget.

 A rush of satisfaction and delight washes over her.

The e-shop, akin to a skilled cinematographer, captures the essence of personalization

The recommendations align not only with her budget but with her unique taste and the evolving narrative of her ideal home office. 

Each recommendation feels tailored to her, a testament to the power of a personalized shopping journey.

The climax arrives as she moves to the checkout scene. 

The e-shop, her guiding script, ensures a seamless transaction. 

It was an emotional experience—an adventure of discovery and delight that left her not only with a chair but with a story to tell.

And so, as the curtain falls on this furniture epic, the  customer  exits  fylliana.gr, not merely with a piece of furniture but with an experience etched in emotion—a movie of discovery and delight that unfolded within the virtual aisles of her chosen e-shop.

Read our book and learn why instore personalization and shopping data is the name of the game. 

 About fylliana.gr

 Fylliana, is one of the leading importing companies in the field of furniture, serving an extensive network of customers and closely cooperating points of sale in the form of shop in shop in Greece and also with exports to Balkan countries.

Fylliana, constantly growing in the furniture and decoration industry with franchise stores throughout Greece (Athens, Thessaloniki, Larissa, Katerini, Chios, Mytilini, Drama, Volos, Veria, Alexandroupoli and Grevena) and a modern e-shop www. fylliana.gr, stays true to its philosophy and is committed to always offering its consumers furniture and decorative items of high quality at very affordable prices.

The company is based in Korinos, Pieria, at the 7th km of N.E.O. Katerinis-Thessaloniki in privately owned facilities of 23,000m², total building coverage of 15,000m² with the recent purchase of the new 7,000m² warehouse on the Thessaloniki-Athens National Highway.

With multiple proposals for equipment and decoration, it covers a wide range of consumers who want to create their own “inspirational space”.

 Furniture, decorations, fabrics, frames, lighting and everything related to the decoration and renewal of the space make up the complete range of Fylliana-Inspired Spaces products.

Their complete collection is presented in our 1400m² showroom located in Katerini. There they  give their  customers the opportunity to see twice a year the renewed collection of furniture and decorations.

The products are of European or Asian origin and manufacture and pass the most stringent quality controls. Evidence of the great success noted by the sales of the specific furniture are

Their modern design and build quality, combined with the tempting price, make them simply unbeatable!

How you add 10.000 euros to every 80.000 revenues you make?

How to create a personalized epharmacy eshop and increase revenues by 30%?

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