AI BASED RETURN SCRUTINY NOTICES – State Tax Department, Uttar Pradesh

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“Boosting GST Revenue: Precision Enforcement, System Transformation”

Problem

  • Increased dealers post-tax amalgamation strained existing tax administration resources.
  • Dealers struggled with understanding GST provisions and portal operations, leading to filing errors.
  • Non-disclosure of trade transactions resulted in substantial revenue mismatches.
  • GST portal lacked advanced data analysis, especially challenging for large consumer states like U.P.
  • Limited human resources and technical expertise hindered timely scrutiny and adjudication of returns in the evolving GST system.

Solution

  • Integrate Artificial Intelligence (AI) for a data-driven shift in tax administration.
  • Implement standardized AI-based scrutiny to remove subjectivity in the process.
  • Generate a single document with AI highlighting mismatches, simplifying communication with taxpayers.
  • Leverage AI for swift adjudication, crucial with the surge in registered dealers post-GST.
  • Enhance portal functionality with AI analytics for real-time dynamic reporting, overcoming static limitations.

Outcomes

  • Successful integration of various indirect taxes into a federal GST structure.
  • 19.17% increase from 40451.78 to 48204.37 crores in 2023-24.
  • Specific, target-oriented activities for effective tax evasion control.
  • Improved technical efficiency with a shift to online operations.
  • Streamlined communication, addressing technical and legal issues effectively.

SKOCH Award Nominee

Category: State Government – Commercial Tax
Sub-Category: secState Government – Commercial Tax
Project: AI BASED RETURN SCRUTINY NOTICES
Start Date: 23-03-27
Organisation: State Tax Department, Uttar Pradesh
Respondent: Ministhy S
Level: Club



See Presentation



For more information, please contact:
Ministhy S at ctcomhqlu-up@gov.in


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