[Case Study] Sentiment Analysis and Personalized Content Recommendation Solution
Customer is a multi-national conglomerate that produces audiobooks. It is based out of the United States with operations in more than 20 countries across six continents. Customer faced challenges such as - Lack of personalized recommendations, Absence of mood-based recommendations and Low user engagement.
We developed a solution that leveraged NLP techniques and recommendation systems to enhance user engagement by providing precise recommendations based on user feedback
and preferences.
Download this case study to learn how team DataSlush helped the customer to :
- Increase engagement metrics by 32%
- Increase engagement by 40%
- Increase CSAT score by 60%
Technology Stack We Used
