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Generate professional replies to Show Cause Notices, assessment orders, audit objections, and other legal communications using TaxTMI's AI Drafter.
Step 1 – Issue Identification & Review
The AI analyses your query, notice, order, or uploaded documents and identifies the key issues involved.
• Review the issues identified by the AI
• Add, edit, remove, or refine issues as required
Step 2 – Draft Generation
Once you approve the issues, the AI performs issue-wise legal research and prepares a structured draft response.
• Relevant statutory provisions
• Judicial precedents and Supreme Court, High Court and other citations
• Issue-wise legal analysis
• Practical arguments and supporting content
• Professionally structured draft ready for further review. 
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GSTN will focus, amongst others, on the development of new return filing, further improving the user interface, and Business Intelligence and Analytics. Improvement in User Interface on the basis of feedback is a continuous process. Few important initiatives/improvements made for better User Experience are:
(i) Questionnaire for filing GSTR-3B to avoid errors by taxpayers.
(ii) Option to generate pre-populated Challan by the system to avoid depositing Cash in wrong Head by the taxpayers.
(iii) Introduction of one click Nil return filing.
(iv) Suggested utilisation of ITC informed to the taxpayer for discharging tax liability.
(v) Contextual help for GST transactions like Registration, Returns, Payment, etc.
GSTN has started work on BI & Analytics. Different scenarios of BI have been identified on which work is going on such as Persona based Analysis, Predictive Analysis, Fraud/Anomaly Detection, Statistical Scoring, 360-degree view of taxpayers, Circular Trading & Network Analysis, etc. Further, GSTN shares data with tax authorities on the following:
Comparison of GSTR-1 & GSTR-3B for liability analysis, GSTR-2A & GSTR-3B for comparison of ITC being claimed by taxpayers, and analysis regarding taxpayers who have generated e-way bill but not filed tax returns is being done and the reports generated are shared with tax authorities for taking appropriate action.
This was stated by Shri Shiv Pratap Shukla, Minister of State for Finance in a Written Reply to a Question in Lok Sabha today.
Data sharing and analytics detect GST return mismatches and trigger compliance follow-up by authorities. GSTN implemented user interface enhancements and BI-driven analytics to improve compliance: questionnaire-driven GSTR-3B filing, system-generated pre-populated challans, one-click nil returns, contextual transaction help, and automated input tax credit utilisation suggestions. GSTN's analytics identify mismatches between GSTR-1 and GSTR-3B, between GSTR-3B and system-computed GSTR-2A ITC, and taxpayers generating e-way bills without filing returns; resulting reports are shared with tax authorities for compliance follow-up.Press 'Enter' after typing page number.