Moving away from reliance on self-declared tax filings, manual audits, and localized official discretion, the National Board of Revenue (NBR) is initiating a fundamental shift toward an automated, data-driven tax administration.
By cross-matching real-time data from banks, land registries, luxury asset purchases, corporate supply chains, and customs records into a unified taxpayer profile, the NBR aims to automatically flag income-wealth disparities and systematically eliminate tax evasion.
Under this multi-year roadmap, NBR intends to elevate Bangladesh’s critical Tax-to-GDP ratio from its current 6.8% to 10% in the medium term, targeting 15% by 2035 to meet its Tk604,000 crore revenue target for the current fiscal year (up from Tk415,476 crore collected in the prior fiscal year).
Automatic cross-matching of declared income against bank deposits, credit card limits, land/flat deeds, vehicle registrations, capital market investments, and foreign travel logs within 2 to 3 years.
Pilot data-matching across four major industrial manufacturing sectors (Cement, Cigarettes, Food & Beverage, and MS Steel/Sheet products) to align imported/local raw material inputs directly with reported sales and VAT turnover.
Replacing human discretion with algorithmic risk selection, human-free digital assessments, and an offshore Customs Attaché system in key trading nations to stop trade-based mis-invoicing.
Establishing a specialized HNWI Monitoring Unit alongside an Independent Income Tax Debt Management System to recover over Tk25,000 crore in outstanding arrears.
Reassessing non-targeted tax exemptions, which totaled Tk 771.60 billion in FY2025–26, to expand the effective tax net.
Taxpayer Category | Classification Focus | Primary Inspection Strategy |
Active Regular Return Filing | Taxpayers regularly submitting returns with full tax payments. | Automated cross-verification of income levels against lifestyle asset growth. |
Filer with Zero Tax Declared | Submitting returns but consistently reporting tax-exempt or zero-taxable income. | Automated lifestyle analysis (credit cards, foreign travel, property deeds). |
Registered TIN Non-Filers | Holding active TINs but abandoning annual return filings for multiple years. | Automated data matching to flag active financial transactions under dormant TINs. |
Unregistered Economic Actors | Operating high-volume economic activity without registering for a TIN. | Identifying unmapped entity profiles via third-party banking and supplier data. |
Implementation roadmap
The NBR’s rollout strategy begins in the immediate short term (Months 0 to 3) with an intensive database cleanup to cleanse master TIN records, categorize active profiles, and isolate top-tier tax debt accounts.
During this initial quarter, authorities will establish the baseline parameters needed to identify high-risk corporate entities and High-Net-Worth Individuals (HNWIs) operating within key economic hubs.
Moving into the three-to-six-month window, the administration will operationalize a dedicated HNWI Monitoring Unit, launch target public awareness campaigns to boost voluntary return filings, and deploy initial central risk-based pilot audits.
As the program progresses into the six-to-twelve-month phase, the focus shifts to direct system integration.
NBR will connect its central infrastructure with external databases managed by commercial banks, land sub-registries, the Bangladesh Road Transport Authority (BRTA), and the Registrar of Joint Stock Companies and Firms (RJSC).
This technical bridge enables the inaugural pilot testing of automated income-asset profiling and digital risk modeling across selected taxpayer cohorts.
Over the medium term (Years 1 to 2), the system expands into full operational deployment.
The NBR aims to roll out pre-filled tax returns for individual filers while initiating nationwide risk-based automated selection, faceless digital assessments, and an automated tax refund mechanism designed to minimize human discretion.
Finally, within two to three years, the overhaul reaches full maturity through a unified taxpayer portal, complete multi-agency third-party data cross-matching, a centralized Income Tax Data Warehouse, and continuous AI and machine learning analytics driving tax enforcement.
"Meeting these ambitious collection targets is neither unrealistic nor impossible if NBR officials execute their duties with genuine sincerity," noted Muhammad Abdul Mazid, former chairman of NBR.
"Rather than harassing innocent regular taxpayers with tedious audits, the administration must focus heavily on bringing unregistered high-earners into the fold. Officials must thoroughly scrutinize the files of wealthy and influential elites while maintaining a supportive, customer-friendly approach toward new individual filers."
Strategic prerequisites for implementation success
To ensure data integration acts as a genuine revenue multiplier rather than creating a new vector for digital harassment, tax policy experts recommend addressing six operational dependencies:
- Establish robust legal frameworks ensuring absolute cybersecurity, data protection, and taxpayer privacy across interconnected agency databases.
- Ensure audit-selection algorithms are transparently calibrated to prevent false-positive flagging of legitimate transactions.
- Standardize real-time API integrations between the NBR Data Warehouse, Bangladesh Bank, RJSC, Land Ministry, and BRTA.