Behaviour Analysis System Integrated with AI and ML for User Interest’s Identification

Author

Unnikrishnan S

Designation

Technical Head

February 7, 2023
11:06 am

Unnikrishnan S

Technical Head

5 Months

Key Takeaways

User-friendly interface that is easy to navigate and understand can improve the overall user
experience and increase adoption.
Real-time monitoring capabilities to enable users to quickly identify and respond to changes
in behavior.
Scalable system to accommodate growth and changes in the organization over time.

Client Overview

Our client is a premier global provider of market intelligence, advisory services, and events for diverse verticals based out of Japan. With the mission to help people turn their curiosity into action, they enable curious individuals and companies – including 98% of the Fortune 500 – to have conversations at scale with the people who matter most.

Problem Statement

Although traditional mode of marketing like television and newspapers reach masses and potential customers, it is less effective due to high cost and low conversion rates. From a consumer perspective, they receive lot of unnecessary promotions and irrelevant advertisements. To tackle this, recommender systems is employed to identify user interests. A survey solution is a feasible way for user profiling without infringing user privacy. Hence, Innovature developed a user interests identification solution with self-service questionnaire for user profiling and to serve them accordingly.

Our solution :

Innovature built a web questionnaire solution that generates questions intuitively based on user responses and thus analyses the interests and behaviour patterns of the user. Additionally, the solution also protects the privacy of the user as no data is collected in the background. The user himself gives answers. The results are then analyzed individually and with other people’s list who have taken the questionnaire to arrive at meaningful insights.