Empower Your Business With The Magic Of Machine Learning!
- +30 210 9701777
- Aristotelous 83, Athens 163 43
- contact@mobiplus.co
Empower Your Business With The Magic Of Machine Learning!
Personalisation is extremely important for businesses and e-shops that seek not only to attract consumers, but to increase repeat purchases, sales, average purchase and conversions.
There are 100.000 eshops in in Greece and 24 million worldwide now and they will grow significantly.
The consumer today makes a search via google using mobile by 70% of the effort and losing engagement in 8 seconds.
It has an average time in your eshop of 3 minutes, which means it doesn’t have enough time to find what it wants, with an overwhelming number of factors that negatively impact the sale.
Artificial Intelligence and Machine Learning with mobiplus shopping Recommendation systems are an important factor in personalization.
From business data such as e-shop purchases, in-store purchases, Loyalty programs , retailers Facebook account , your customer’s shopping data from the Bank using Artificial Intelligence and mobiplus shopping recommendation you can predict with significant accuracy what the customer wants to buy and recommend it.
Personalized product recommendations must be seen:
See here how the top personalization engine in the world-Youtube-works and get important ideas from it for your own business.
These data are :
Many businesses have created eshops and sell their products and services online.
Many businesses have created an eshop and sell their products and services online.
Lets say they have an eshop since 2010 and on , with 30,000 customers and 3 purchases per year per customer.
The customer here has 7 years of life with average basket of 35 euros and 3 products inside.
You have 2000 visits per day and you have a revenue of 1 million euros.
Every purchase in your e-shop is recorded, every click that the consumer makes on your product must be recorded, you have to have like/dislike on every product, follow product categories, star ratings, count shares,
Also the time he sits on the product….ist 10 seconds or 1 minute ?
Shops issue receipts and many chains on the receipt link the customer.
Other chains do not link the customer’s items.
And without the customer’s details you can see what products are bought together and you can use mobiplus shopping recommendation to present the consumer with personalized products that he wants to buy now, seeing what he puts in the cart now in real time (item based recommendations)
To learn how the top companies in the world increase revenues up to 30% from existing customers read the following book.
https://mobiplus.co/ebooks/customer-rediction/
Your ERP records all these transactions which are gold for increasing revenue for the business.
Usually Retail businesses have ERP from 2000-2010 where your data is there and can be leveraged in personalization.
Usually there you have 1 to 1 to 2. 5 purchases per year per customer depending on the industry you belong to and in other cases like supermarkets one purchase per week.
You have an average receipt of 40 euros and you keep the customer for 6 to 7 years.
With these elements you can predict what the customer wants to buy and recommend it, thus having a deeply personalized experience.
Many companies have a Loyalty program with a privilege card that records all customer transactions.
There are important data on his buying habits there.
There you can find , using Artificial Intelligence and mobiplus shopping recommendation patterns of behavior, then find consumers who have the same patterns, predict for each individual what they will buy in the next period of time, and recommend personalized products.
A company usually has a Loyalty program for about 10 years , with 20.000 users , with customer data and emails , which gives good data for a start in shopping recommendation and personalisation!
You definitely have a facebook page and there you have several posts , with customer comments , likes , shares etc.
From this data you can predict what customers want to buy and recommend it to each of them individually and personalized.
The Mobiplus app is a nother way for the customer to see your personalised product recommendations.
Using Artificial Intelligence and state of the art Prediction engineering we ask them at the right time for additional shopping preferences and connect them to your main Recommender.
We record which products or not he saw from those suggested by the Recommender, how much time he spent on each product and we learn about him.
So you have a personalized recommendation product engine that constantly learns the needs of each individual customer and makes you successful.
Computers can perform rapid data retrieval, allowing for personalized, real-time recommendations with scalability.
Machine Learning can not only help the business to guide customers at astonishing speeds, but can also offer them options that a human would have missed.
The Machine Learning with mobiplus recommendation engineering can even identify completely new customer segments.
Businesses can use the shopping data they have and provide 1:1 personalsation in search, browsing, and content layout.
You can return personalised results for each visitor, based on Artificial Intelligence , and ensure that the Recommendation Engine is constantly learning and improving.
“You might like…” “Others who have also bought…” are personalized messages in e-shops that signal Recommendation Engine.
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.
