Reconstructing customer experience through artificial intelligence
When we surf the internet we often meet advertisements. Did you notice that the advertisements you see are different than what other people see?
When you watch videos on Youtube, do SNS activities in Facebook, did you notice that the contents you receive are closely relevant to your personal interest?
When you buy stuff from internet companies such as Amazon, you receive information on how the item you are willing to buy were bought by previous customers.
These customer behavior analysis (in other words consumer analytics) are done through the recommendation systems. In the past, the methods used to develop such systems were based on statistics. In the big data era, methods such as multivariate analysis and machine learning were added for broader analysis. Recently, artificial intelligence technology was adopted that such systems became intelligent enough that performs recommendation activities similar to human.
So what is an artificial intelligence based recommendation system?
As stated above, a very good example of recommendation systems is often introduced by Amazon’s method. You probably have seen the phrase “Customer who bought this item also bought”. This feature is somewhat like an assistant that understands the customers taste better than anyone else. Youtube, Netflix and Facebook are using similar methods to recommend media contents. How could these companies develop such systems?
The answer is actually hidden in the massive data generated by their customers, the users. These companies were able to develop such systems not due to their high level of technology only but it’s greatest contributors are the data generated by their customers, you.
I greatly acknowledge how it revolutionized the shopping and contents consuming process. These systems reduced the time consuming process of shopping and contents selection dilemma.
The cannabis industry faced many changes along with the fast legalization movement around the globe. Accordingly, the market size is growing exponentially and we believe that the count of users will also increase. Thus, more products and contents will be created for this unique type of users. Digitizing activities will become the main source for providing such recommendation systems as it creates data.
GANA aims on becoming the biggest and first contributor in this matter. Information such as listening to music and enjoying munchiz can be very easily obtained through web surfing or other users. Cannabis users will become more eager to receive new services and products as the industry grows. GANA will provide the essentials for this matter.
Be part of the movement and support GANA. We will revolutionize and change the world.
