A STUDY ON IMPACT OF GST ON MSME AND SMALL TRADER IN INDIA

Abstract

The implementation of the Goods and Services Tax (GST) has significantly transformed the taxation landscape for Micro, Small, and Medium Enterprises (MSMEs) and small traders in India. This study leverages the capabilities of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) to analyze the multifaceted impact of GST on these vital sectors of the Indian economy. By utilizing large datasets sourced from government records, tax filings, business surveys, and market reports, the study aims to understand how GST has influenced operational costs, compliance burdens, revenue patterns, and overall business sustainability for MSMEs and small traders.The research employs ML algorithms to classify and predict the financial health of MSMEs pre- and post-GST implementation, identifying key factors that drive business performance under the new tax regime. Deep Learning models, including time-series forecasting, are used to evaluate trends in tax compliance, revenue growth, and market adaptability. Furthermore, Natural Language Processing (NLP) techniques analyze textual feedback from business owners and stakeholders collected through surveys and social media to gauge sentiment and challenges related to GST. The integration of AI-driven analytics provides a comprehensive and data-driven perspective on the GST's effects, offering valuable insights for policymakers, business owners, and financial institutions aiming to support the MSME sector in India.