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Zethic Technologies LLP
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Why Payment Reconciliation Gaps Trigger GST Notices?

Picture of By Ram Nethaji

By Ram Nethaji

Founder

FinTech app development cost

User Interface Design

Custom software development
FinTech app development services
payment reconciliation
GST departments increasingly compare digital payment data, including UPI transactions, with reported turnover during compliance checks, and significant mismatches can result in notices such as DRC-01, a pattern highlighted in GST notices over UPI payments. In many cases, these discrepancies stem from incomplete payment reconciliation rather than actual underreporting.

What Counts as Payment Reconciliation When UPI Is Your Main Collection Channel?

Payment reconciliation is the process of matching what a business actually collected against what its records show it should have collected. For a business running primarily on UPI, that means matching settlement data from every PSP and TPAP against sales records, refunds, and GST returns in one consistent view.

This is a different problem than classic bank reconciliation. A single bank account produces one statement, while UPI collections arrive fragmented across multiple providers, each with its own settlement timing and reporting format. Much of that fragmentation traces back to the underlying payment gateway vs payment aggregator setup a business chose in the first place.

Most businesses already run some version of this manually, cross-checking a spreadsheet against a few settlement reports each month. That works until transaction volume grows past what a manual check can reliably catch.

Why Do UPI Settlement Data and GST Turnover Numbers Stop Matching?

Most mismatches are not fraud. They are gaps in how fragmented settlement data gets pulled together before anyone compares it to turnover, and four causes show up most often in practice.
  • NPCI’s settlement structure: The revised UPI settlement rules segregate authorized transactions into 10 daily settlement cycles, with disputes and chargebacks routed through two separate cycles. A single day’s UPI credits can therefore land across several different batches.
  • TPAP fragmentation: PhonePe, Google Pay, and Paytm each report settlement data differently, so a business without a unified feed sees only partial views from each provider.
  • Refunds and failed transactions: These often get counted as gross credits in raw settlement data even though no taxable supply occurred, a pattern closely tied to broader payment failures in fintech applications.
  • Mixed accounts: Businesses running personal and business collections through the same UPI handle can end up with personal transfers inflating apparent turnover.
Left unreconciled, these gaps can make UPI settlement totals appear higher than actual taxable turnover, increasing the likelihood of discrepancies being flagged during GST compliance checks. While none of these four causes necessarily indicate suppressed revenue, automated reviews cannot always distinguish them without proper reconciliation.

How Does a GST Mismatch Actually Turn Into a DRC-01 Notice?

GST authorities may compare UPI and other digital payment data with turnover reported in GSTR-1 and GSTR-3B during compliance checks. Where they identify significant discrepancies, they may issue a DRC-01 show-cause notice.

The taxpayer then has a 30-day window, as set out in CGST Rule 142, to file a reply in Form DRC-06 with supporting documentation. GST turnover legally covers only the value of taxable supplies, so a payment credit alone does not automatically equal turnover. Demonstrating that distinction, however, often requires detailed day-wise reconciliation that many businesses do not already maintain.

A well-prepared reply typically includes day-wise UPI settlements matched against sales, a refund and failed-transaction log, and reconciliation with bank statements. Businesses that already maintain this documentation are generally better positioned to respond within the prescribed timeline.

Building that evidence trail before a notice arrives is closer to regulatory technology solutions than routine bookkeeping, since it relies on structured audit trails, reconciliation logic, and compliance-ready records.

Composition scheme dealers may face greater scrutiny because they operate under prescribed turnover limits, and significant discrepancies can prompt questions about scheme eligibility. If a taxpayer does not respond adequately within the prescribed timeline, the proper officer may proceed in accordance with the CGST Act and Rules, including issuing an order in Form DRC-07 where applicable.

In some cases, unresolved tax demands may eventually progress to recovery proceedings under the GST law. Maintaining accurate reconciliation records helps businesses explain genuine mismatches before they escalate into larger compliance issues.

Reactive Notice Response vs Continuous Payment Reconciliation: What's the Real Difference?

A single notice reply looks cheap. The real cost shows up in how often it recurs and what it exposes.

Factor Reactive Notice Response Continuous Payment Reconciliation
Upfront cost CA-assisted DRC-01 reply from ₹2,999 per notice (Patron Accounting, 2026) ₹8 lakh to ₹25 lakh to build a reconciliation system with GST matching logic (estimated from India custom software development benchmarks, 2026)
Recurrence Repeats every time settlement data and turnover diverge again One-time build, then ongoing maintenance only
Response window 30 days to file Form DRC-06 per notice No filing window pressure, since data stays reconciled continuously
Audit exposure Each notice is a fresh scrutiny event, with composition scheme status at risk Day-wise records ready before any notice is issued

The per-notice cost looks small next to a system build, until multiplied across every settlement cycle where the numbers can drift. A business receiving even a handful of mismatch notices a year spends more in recurring CA fees than a one-time build would have cost.

The cost of developing a payment system with reconciliation logic built in scales with transaction volume and channel count rather than a flat rate.

What Should a Payment Reconciliation System Track to Prevent This?

payment reconciliation

A system built for this problem needs to close the specific gaps that cause mismatches, not just match totals at month-end. Generic accounting tools rarely cover all four by default, since most were built for global markets without UPI’s fragmentation.

  • Day-wise UPI-to-turnover mapping: Matching each settlement batch against the sales it actually represents, not a monthly aggregate
  • Automated GSTR-1 and GSTR-3B cross-checks: Catching a divergence before the GST department’s own systems do
  • Refund and failed-transaction flagging: Separating these from gross settlement credits automatically
  • Audit trail generation: Keeping day-wise evidence ready so a reply, if one is ever needed, does not start from scratch

Each of these maps to one of the four causes covered earlier, closing the specific gap rather than adding a generic matching layer on top.

What Does a Well-Built Payment Reconciliation System Actually Solve?

The real fix here is closing the gap between fragmented settlement data and reported turnover before a mismatch reaches the GST department’s radar, not getting faster at replying once it does. This sits squarely within fintech software development: building systems that map UPI, NEFT, and gateway settlement data against turnover continuously, so the audit trail already exists the day a question comes in.

For businesses running composition schemes or high UPI volumes, the reconciliation logic accounts for TPAP fragmentation and NPCI’s settlement cycles from the first build phase, not as an afterthought. Zethic scopes this kind of build around a business’s actual transaction volume and channel mix rather than a one-size-fits-all matching engine.

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Frequently Asked Questions

A basic rule-based system for a single market typically costs in the tens of thousands of dollars, with India-based development often coming in lower than US or UK benchmarks for the same scope.

Buying is usually cheaper upfront, while building can cost less over several years for businesses with steady, predictable transaction volume and in-house engineering capacity.

Yes, real-time monitoring requires more infrastructure than end-of-day batch processing, since transactions must be scored and flagged as they happen rather than in scheduled runs.

Expect annual costs for model tuning, regulatory rule updates, and case management support, generally a percentage of the original build cost each year.

It cannot guarantee zero notices, but continuous reconciliation closes the specific gaps, like TPAP fragmentation and miscounted refunds, that most mismatches come from.

Yes, since PhonePe, Google Pay, and Paytm each report settlement data differently, businesses without a unified reconciliation view are more likely to see gaps between combined UPI credits and reported turnover.

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