Enhancing UX with Customer Review Tagging using NLP and ML for a Prominent Online Jewelry Retailer and Manufacturer

Solution

• Q3 Team developed a Digital Channel System using NLP & Machine Learning to guide the revenue lifecycle from customer acquisition to upsell and retention, and tracks each consumer experience from start to finish and predict the kind of engagement.
• Natural Language Processing (NLP) is used to model the various topics, extract the named entity recognition and apply Machine Learning algorithms to detect the sentiment and classify the department the review is intended towards.
• Python was used for extracting feedback data through web scrapping and social media feeds, open source libraries NLTK, Gensim and SpaCy were used for text processing and modelling.

Outcome