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SilentLog Analytics
“SilentLog Analytics” uses AI to understand customers deeply and trigger people's behavior by analyzing in real time anonymously the customer's behavior information collected from mobile applications and other devices using SilentLog SDK Behavior analysis platform. By clarifying the customer's life pattern and customer journey based on the data analyzed by the unique AI algorithm, richer analysis is possible.
SilentLog Analytics(Demo)
What you can do
with SilentLog Analytics
Visualize location information and behavior information.
We can grasp movement of person and thing from high point of view.
Visualize the behavior of people and things with a vantage point. It is easy to understand data such as daily activity information (location information), heat map of a specific district, and where it has flowed into a specific district.
Analyze specific location information and behavior information.
It is possible to build and verify personas.
Focus on a specific person, analyze stride and walking speed, behavior patterns (positional information analysis using artificial intelligence). You can see demographics such as gender, age, occupation, and residence of this person, and you can create a persona.
Optimized distribution information for individuals based on location information and behavior information. Trigger an action.
Necessary information can be distributed at the appropriate time to the persona generated by the proprietary AI algorithm
Characteristics of
silent log analytics
Fine position information acquisition
The position information is acquired at a frequency of once in about 5 seconds while suppressing battery consumption of the smartphone application by the SILentLog SDK. By utilizing this data, it becomes possible to draw the customer journey of the user, such as which shop and which route they visited and how long they stayed.
Automatic estimation of behavior type
We analyze the detailed position information acquired from SDK together with the data collected from various sensors installed in the smartphone and use our own AI to automatically determine the user's action type (walk, bicycle, car, train, etc.)
Automatic Estimation on Behavioral Purpose
Based on location information, time, and action type, the user analyzes “Why are they?” With his own AI “A man in his 30s visits a car while at work on a weekday and takes lunch” and “Holiday women in their twenties visit Shibuya in a train and shop at 109, etc. information can be read from one point of latitude and longitude.
Personal Development
By combining and analyzing location information, time, action type, and action purpose, it becomes possible to grasp the lifestyle style of one user and the human image in the background. This allows companies to focus on delivering information to their customers without spending time on identifying customers.
SilentLog SDK
Location information collection engine
"SilentLog SDK" is an engine for location information acquisition developed by Ray Frontier.
By incorporating this SDK into your application, you will be able to collect and use precise location information yourself. Also, the acquired location information is analyzed by "SilentLog Analyticals" and converted to higher value-added data.
