This case study highlights the challenge of understanding customer sentiment from reviews and social media, leading to missed opportunities in improving customer service and product development.
An AI-based sentiment analysis engine was implemented, leveraging NLP and sentiment analysis models to extract valuable insights from customer feedback. These insights guided improvements in customer service, product innovation, and targeted marketing.
As a result, customer satisfaction increased by 15%, product success rates improved by 10%, and targeted marketing efforts saw a 20% boost in ROI. This case study demonstrates how better customer understanding and engagement drove overall business growth.