Uzair Shafqat

Academic

Career

Verbatim text

Impact of Customer Reviews on Sales Using Machine Learning Techniques in Automobile Industry 
Our research successfully analysed the impact of customer reviews on automobile sales using machine learning techniques. We used natural language processing (NLP) models to analyse the sentiments of customers using review and sales data we had collected and prepared beforehand. The data showed a strong link between changes in public opinion and how well sales were doing. Our study gives the auto industry useful information by showing how companies can use customer feedback to improve their products and sales tactics. 
In this study, we've looked at social and industrial issues to help companies better understand how their customers feel. Our structured way helps businesses find patterns in customer reviews, which helps them improve their marketing and operations to make customers happier and make more money. 
Key Words 
Machine learning, Sentiment analysis, Prediction model, Text mining, Natural Language Processing (NLP), Random Forest, Customer feedback analysis, Automobile industry, Sales forecasting. 
Supervisor 
Mr. Hammad Majeed 
Group Members 
Uzair Shafqat (21i-0043)