This paper aims to tackle the problem of MSMEs being unable to gauge customer sentiment through text-based reviews on e-commerce platforms. The paper suggests a front-end algorithmic solution to the problem which is simple yet impactful in that it allows MSMEs to understand consumer behavior and psyche with minimal or no resources. The platform, which can be adopted by any e-commerce enterprise, uses web scraping frameworks and natural language processing-based sentiment analysis to extract, demystify, and present various metrics and actionable insights essential to analyze underlying sentiment. The proposed end-to-end solution aids MSMEs in fostering sustainable customer relationships and boosting business growth and prosperity.