Empower Your Business With The Magic Of Machine Learning!
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Empower Your Business With The Magic Of Machine Learning!
mystring is one of the leading companies selling women’s lingerie and swimwear in the Greek market.
It has a significant history in the industry with emphasis on quality, speed of service and technology.
Mystring features only Greek and European products, manufactured, sewn and packaged in the European Union.
High quality and aesthetics, made with high hygiene standards, for the modern and dynamic woman, who is confident and wants to feel bold, sexy and impressive.
The company has invested heavily in recent years in better customer service.
Technology is one of the important pillars to achieve the above goals.
So he embraced Artificial Intelligence and mobiplus shopping recommendation so that he could take the business to a higher level.
So he can predict what the customer will buy the next week , inform and bring it to the eshop to make the purchase !
It does not wait when the existing customer will search for lingerie or swimwear.
This is what the leading companies in the world are doing today.
Amazon…. Netflix…Target…Facebook…Telenor..Youtube-Tik Tok and many others.
Below you can discover some of the findings of artificial intelligence within the transactional data of the company .
After mystring’s customer shopping data was uploaded with a simple csv file ,the Machine Learning Engine of the mobiplus shopping recommender discovered all the customer shopping clusters within the data.
Listen to the video and see what he discovered?
He found the following correlations in the e-shop purchase data.
He found that for his particular business anyone who buys products with black description then wants one of the following.
G-String made of elastic in four colors – WHITE, M
G-String Made of Elastic Lace in Four Colors – RED, M
Micro String Bottom with Tattoo Design – M
Micro g-string Satin print – ROZ, M
Micro G-string Made of Embroidered Fabric – M
Vesper socks in black color – 3-M
Matt socks for garter belts – BLACK, 2-S
Lace and Elastic Tulle Garter – BLACK, M
Slip String Obsession with embroidery – M, BLACK
Slip String Obsession with embroidery – L, BLACK
Suspender String Bottom made of solid satin and bows – S
Brazil Lucie Elastic Lace Bottom – S, CORAL
Babydoll Anya Ecru – S
Nightdress Sharon In white colour – S
Babydoll Flutter with Gift Bottom – S/M
Matt socks for garter belts – BLACK, 3-M
Ester socks in black color – 3-M
Perry Thick Net Socks Perry – ONE SIZE, BLACK
Tights Black Avenue – 3-M
Nathrien Tights Black 20 DEN – 2-S
String Folies
skater dress
Sexy Naughty Crochet Crochet Strapy Thong – BLACK, ONE SIZE
Lola Luna Guil Black Lace Thong
Black Eyelash Lace Girdle Bra Set
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/
Lusty Lingerie Gown
Black Eyelash Lace Girdle Bra Set
Slip String Obsession with embroidery – M, BLACK
Lace and Elastic Tulle Garter – BLACK, M
Slip String Obsession with embroidery – L, BLACK
Skater Dress
Sneakers Inello
Lusty Lingerie Gown
Garter Attached Lace Thong with Keyhole Back – ONE SIZE
Black Lace High Neck Cut Out Back Bodysuit – BLACK, MEDIUM
String Folies
string slides
Jeweled Side Thong
Sexy Naughty Crochet Crochet Strapy Thong – BLACK, ONE SIZE
Lusty Lingerie Gown
It also found correlations in product purchases based on product material.
That is, someone who buys product A with material B then usually buys product C with material B.
He also found that there is a culture in the markets.
That is, a customer who buys sexy products continues to buy sexy products.
A customer who buys classic products continues to buy classic products.
So Recommender learned to recommend products automatically according to the above rules.
Until now you were setting the rules for what products the consumer will see.
The Recommender algorithms find these rules within your customers’ shopping data.
So it predict what each customer wants to buy individually.
Then recommend it on his email , his mobile phone and your store or eshop
When the customer enters your e-shop, he sees the products he wants to buy.
Different from Niki, Georgia and Helen.
The company’s e-shop , the company’s mobile application predicts what each customer wants individually and will present it.
Thus giving an immersive experience , taking the consumer’s interaction with the company to if next level.
A level that creates excitement through the consumer’s new discoveries.
Excitement from discovering new products and experiences that interest them without any effort from them.
Women’s lingerie and swimwear is an important experience!
An experience that helps the woman to take her life further to make her feel better.
To experience something different in her everyday life.
Recommendation engineering predicts differences in purchase needs we have , predicts the experience we want to have next , and recommends it to us.
my string chas many consumer journeys within its purchases.
These journeys are discovered by artificial intelligence and prediction engineering , and can predict what journey the consumer is in and what experience -product-underwear-suit he or she would wants next.
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.
That’s what mobiplus shopping recommendation. is doing !
It makes your customers happy, increases your revenue up to 30% and makes you happy too!
Contact us now to see how the mobiplus shopping recommendation platform can give you the above features and increase your revenue. 30%.
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.
