Page 42 - CMA Journal (Nov-Dec 2024)
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Focus Section



                 The UAE’s blockchain-based  VAT system records   Phase 2: 2010–2020 – Early Digitization Efforts
                 every transaction on a shared ledger accessible to
                 both businesses and tax authorities, reducing   In 2010, Pakistan took its first significant step toward
                 invoice fraud by 40% while cutting refund     digitization with the introduction of the IRIS e-filing
                 processing times from 30 days to just 48 hours.  system.  This online portal enabled businesses to file
                                                               income tax returns electronically, reducing processing
                 In Brazil, blockchain is mandatory for public invoicing,   times to 2–3 months. However, the adoption rate was
                 where all invoices are cryptographically sealed and   slow, especially among SMEs, due to limited internet
                 stored on a distributed ledger. This increased SME   access and skepticism about digital systems. By 2020, only
                 compliance by 25% and enabled real-time audits,   15% of taxpayers were using IRIS regularly. Meanwhile,
                 reducing administrative costs by 15%.         the Federal Board of Revenue (FBR) introduced digitized
                                                               sales tax portals, but integration issues between federal
             3)  Robotic Process Automation (RPA): RPA uses    and provincial systems hampered efficiency.
                 software bots to automate repetitive, rule-based
                 tasks such as data entry, form filling, and report   Phase 3: 2020–2024 – Advanced Automation Initiatives
                 generation.   This  reduces human error, lowers
                 operational costs, and enables staff to focus on   In recent years, Pakistan has made significant strides with
                 more complex, strategic tasks.                the following initiatives:
                                                               •   Track and Trace System: Launched in 2021, this
                 In Japan, the National Tax Agency deployed RPA bots
                 to extract data from corporate financial statements,   RFID-based system monitors production and sales in
                 populate tax forms, and submit filings. As a result,   high-evasion sectors such as tobacco and cement. In
                 90% of corporate tax filings are now automated,   the tobacco industry, for instance, the system
                 reducing processing time from three weeks to just   reduced counterfeit product sales by 30%, resulting
                 two hours and saving ¥45 billion annually.        in a PKR 45 billion boost to tax revenue in 2023.
                                                                   However, its implementation in the pharmaceutical
             4) Predictive  Analytics: Predictive analytics uses   and textile sectors, which contribute 20% of the
                 historical and real-time data to forecast future   informal GDP, is still pending.
                 outcomes. In taxation, it predicts revenue trends,   •
                 identifies evasion risks, and optimizes audits. This   PRISM Integration: By linking retail Point of Sale
                 transforms tax authorities from reactive enforcers   (POS) systems directly to the FBR, this initiative
                 into proactive planners, enhancing fiscal stability.   enables the automatic transmission of real-time
                                                                   sales data, reducing underreporting. In 2023, this
             Singapore’s Inland Revenue Authority (IRAS) utilizes AI   integration reduced sales tax leakage by 15%.
             models to analyze GDP growth, inflation, and sectoral   •
             performance to forecast corporate tax revenues.  The   E-Payment Surge: Digital tax payments surged by
             agency has achieved 95% accuracy in its revenue       45% in 2023, driven by new partnerships with banks
             forecasts, enabling proactive policy adjustments during   and mobile wallets.
             economic downturns.                               Strategic Opportunities for Pakistan
             Pakistan’s path to Tax Automation                 (1)  Expanding the Digital Ecosystem

             Pakistan’s tax automation journey has evolved in three   a) Subsidized Tools: Partner with tech firms to provide
             distinct phases, each characterized by incremental    SMEs with subsidized software licenses (e.g., PKR
             progress and persistent challenges:                   10,000/year). Pilot programs in Karachi showed a
             Phase 1: Pre-2010 – Manual Systems and Inefficiencies  40% increase in adoption when subsidies were
                                                                   introduced.
             Prior to 2010, Pakistan's tax administration was primarily
             paper-based. Taxpayers submitted handwritten returns,
             and officials manually verified records, resulting in
             widespread delays, errors, and opportunities for
             corruption. For instance, income tax filings often took
             6–8 months to process, while discrepancies in sales tax
             records were frequent due to mismatched invoices. The
             absence of digital infrastructure allowed the informal
             economy—estimated at 35% of GDP during this
             period—to thrive without being taxed.



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