Empower Your Business With The Magic Of Machine Learning!
That is, to see what others who are extremely successful in other areas than you are doing and to do the same.
Steve Jobs stole many ideas and practices from the famous Italian inventor, musician, painter, and civil engineer Leonardo da Vinci.
I suggest you steal what Netflix is doing in the video streaming space and do it in e-commerce.
H Netflix started in 1997 , sold movies on CDs by mail order and today has 200m users and $25B in revenue (2020).
It uses Artificial Intelligence and Big Data techniques to predict what the customer wants to see and recommend it.
The time it has for this is 60 seconds that you sit in front of the Netflix screen and zapping between movies.
It does not wait for the user to find the movie he wants to watch , but predicts what he wants to see next and recommends it.
It’s 97% accurate.
Wow!
Check out the important technology it has developed here!
See here the important technology he has developed!
At each point I mention below , think about your e-shop , your user , your products.
The first way that uses data is to understand the user with great accuracy!
Which movies does he view accurately , which movies does he browse , which movies does he skip , if you start watching a movie at what point do you stop.
They have so much data in their database that they can understand important things about you!
Example horror films. While some users are watching the movie they stop at 70% of the movie.
This shows that this movie is very scary for you.
So the next time he recommends a less frightening work.
Most important of all, it understands what kind of horror movie you want to see and now produces the movie you want to see.
It understands through the video you watch , using machine learning, features of the movie.
For example, that you like movies with mountain locations, that you want a fast plot, and what actors and scripts!
It thus understands that there are 100 vertical markets (market niches) and produces projects for all these vertical markets.
He understands that he has ready customers for each individual vertical market and he knows how many!
So they know with great accuracy how many people will see each movie they create.
You’ve probably heard of the terrifying success of one of their latest The Crown series.
It was no accident!
He knows exactly what play , what plot , what actors , where it is shot , the scenes you like , the speed of development and much more.
This makes their products frighteningly successful.
The success of a new movie on television has a 30% chance of success.
In Netflix is 80%.
So they leave the competition terrifyingly behind!
To learn how the top companies in the world increase revenue up to 30% from existing customers read the book below.
The next point you use is the thumbnail of the movie.
The movie photo in front of the home screen.
Picture of the product imagine yourself!
They understand that the consumer is sitting for 1 minute on the main screen of Netflix and zapping what work they are going to see.
The same thing the consumer does in your e-shop while sitting through 2 minutes and 70 % of his mobile phone.
This initial image of your project (product) can be one of thousands of images within the movie!
So they need to understand what image you want to see in order to draw you to see the movie!
So they use machine learning (Artificial Intelligence field) to figure out which picture out of thousands you want to see and they show it to you!
Imagine the equivalent for the tables or shoes or pizzas you sell!
They also use artificial intelligence and Big data for streaming optimization.
When you sit at home to watch a play the broadband line speed is switched by the provider or by the load on your line when many people come through your house.
They predict this variation and the machine learning algorithms also predicts what movie you will see and sends that movie or movie (cache) to sit on your local neighborhood server, so that you can see the project seamlessly!
Another area they use artificial intelligence is in which area from around the world they will shoot the movie taking into consideration factors such as availability of areas , scene the user wants to see, availability of actors per scene , crew shooting and others.
So that’s how they produce their movies.
so!
They predict what movie (product or service for you) you want to buy and recommend it to you!
They predict what movie (product or service for you) you want to see and they make it!
They predict the perfect combination of how to make a movie (product or service for you) and they make it!
They predict how to optimally serve you the movie (product or service for you) and send it!
You can also have the above features with the mobiplus shopping recommendation platform which uses Artificial Intelligence and machine learning.
It uses your customer shopping data and guesses what they will buy next. Works in the cloud.
Your e-shop is connected in a very easy way via API and your data is processed anonymously.
You get the recommendations with an easy way via a java script that snaps into the shop.
The products that the customer will buy are sent to his email or mobile phone automatically by the system through a scheduler tool.
When the consumer walks into the physical store they open up on the Annie inteligent instore shoping assistant .
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.