Quick Summary
Both direct and indirect tax departments employ data analytics, big data and Artificial Intelligence/Machine Learning in tax administration to make it more effective, free of official discretion, business and taxpayers friendly The Government is using data analytics, big data and Artificial Intel
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FAQ :
Data analytics, big data, and Artificial Intelligence/Machine Learning are being used to improve tax administration.
The goals are to make tax administration more effective, free of official discretion, and friendly to businesses and taxpayers.
Data analytics is used to identify fiscal risks, suspicious trends and patterns, and risky entities in Customs and GST by leveraging big data.
Project ADVAIT (Advanced Analytics in Indirect Taxes) is a flagship analytics project for Indirect Taxes rolled out by the Central Board for Indirect Taxes and Customs (CBIC) in 2021, using big data and AI capabilities.
The objectives of ADVAIT are to enhance indirect tax revenue, increase the taxpayer base, and support data-driven tax policy.
In Direct Taxes, AI/ML is used to identify high-risk tax evasion cases, send reminders for advance tax payments, prompt taxpayers about ITR mismatches, and analyse taxpayer networks to flag potential high-risk transactions.
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