Objective: To understand customer sentiment from product reviews and use the insights to improve product o3erings and customer experience.
Solution:
We implemented an advanced sentiment analysis pipeline that processed over 200,000 customer reviews. The model was trained to identify positive, negative, and neutral sentiments, as well as detect key aspects such as product quality, shipping, and customer service.
Outcome:
The BULKIFY used these insights to refine product listings and customer service strategies, resulting in a 37% increase in customer satisfaction and improved product recommendations based on sentiment analysis.