An innovative project enhancing customer satisfaction and engagement through AI, Sentiment Analysis, and Personalized Product Recommendations.
This project uses AI-driven sentiment analysis to capture customer feedback from Instagram, product reviews, and support channels. The system detects customer sentiment trends to guide product improvements and boost engagement.
Created a product recommendation engine that tailors beauty product suggestions to each user’s profile, purchase history, and feedback sentiment. This personalization enhances product relevance and satisfaction.
To streamline support, I implemented AI for automated responses to FAQs, real-time sentiment detection for critical cases, and escalation for quick resolutions, all aimed at delivering excellent customer satisfaction.
Using data from social channels and customer demographics, this system identifies emerging trends and helps the brand adjust marketing strategies in real-time to stay ahead in the beauty market.
Segmenting customers by preferences, behavior, and engagement, this AI tool enables precise targeting for marketing and identifies brand advocates for influencer partnerships, driving conversion and loyalty.
By using AI to track customer satisfaction in real-time, this project enables the brand to create loyalty programs that reward highly engaged customers, fostering long-term loyalty.