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Expertise

Domain expertise that shapes the product

TransactIG is built on deep, practitioner-level knowledge of Indian reconciliation workflows, tax compliance architecture, and payment infrastructure. Every matching rule, tolerance band, and variance taxonomy reflects real operational complexity — not abstracted assumptions.

Tax Compliance

Tax reconciliation expertise across TDS, GST, and statutory filings

Our team maintains working knowledge of every TDS section relevant to enterprise reconciliation — from Section 194C (contractor payments) and 194J (professional fees) through 194H (commission), 194I (rent), 194A (interest), 195 (non-resident payments), 194Q (purchase of goods), and 206C (TCS on sales). This includes threshold-based applicability, quarterly filing cycles, and Form 26AS/AIS cross-verification logic.

On the GST side, our expertise covers GSTR-2B auto-population rules, ITC matching and reversal under Rules 42 and 43, the Invoice Management System (IMS) introduced in October 2024, DRC-01B and DRC-01C notice handling, blocked ITC under Section 17(5), and the GSTR-9 annual reconciliation process. Every configuration preset in TransactIG reflects these regulatory specifics.

We also track the New Income Tax Act 2025 and its implications for TDS section remapping — ensuring clients are prepared for the transition from existing sections (194C, 194J, etc.) to the new numbering under Section 393 and related provisions.

Payment Infrastructure

Payment ecosystem expertise from gateway to bank

TransactIG decompose settlement files from Razorpay, PayU, Cashfree, CCAvenue, Amazon Pay, and Stripe India. Our team understands the internal structure of each gateway's settlement reports — including MDR fee breakdowns, split settlement logic, and refund netting behaviour. This is not surface-level integration. It is field-level decomposition that enables deterministic matching against bank credits.

Our NACH expertise covers NPCI batch file structure, mandate registration and amendment workflows, return code classification (including codes like M002, M003, M004, and M005), and the disaggregation of pooled NACH credits into individual mandate-level transactions. This is critical for NBFCs and lenders processing thousands of EMI collections daily.

We also maintain deep knowledge of UPI settlement rails, OTA commission frameworks (MakeMyTrip, Goibibo, Booking.com, OYO), marketplace seller settlement structures (Flipkart, Amazon, Meesho), and the TCS obligations of e-commerce operators under Section 52 of the CGST Act.

Industry Verticals

Reconciliation knowledge across 24+ Indian industry verticals

Every TransactIG industry preset is built from first-principles analysis of that vertical's transaction patterns, regulatory obligations, and settlement structures. These are not generic templates — they encode real operational knowledge.

Healthcare & TPA

Claim settlement decomposition across TPAs, Ayushman Bharat cashless flows, and doctor payout reconciliation.

NBFC & Lending

NACH mandate-level batch disaggregation, EMI bounce handling, and loan disbursement-to-bank matching.

Logistics & Freight

Multi-leg freight invoice matching, fuel card reconciliation, and COD remittance tracking.

Hospitality & OTA

OTA commission decomposition, GST on accommodation services, and virtual account settlement.

View all 24+ industry verticals →
Architecture

Engineering expertise in deterministic matching and reconciliation architecture

TransactIG uses a multi-pass progressive matching engine with deterministic resolution. Each pass applies increasingly flexible matching strategies — from exact reference matching through amount-date correlation, partial payment aggregation, and tolerance-band matching. The architecture is config-driven: matching rules, tolerance thresholds, and variance taxonomy are defined per deployment, not hard-coded.

In validated testing against real enterprise transaction data, this approach improved projected match rates from 51% (single-pass exact matching) to 88% (four-pass progressive resolution) — without sacrificing auditability. Every match carries a full evidence trail documenting which pass resolved it and which signals contributed.

The underlying variance taxonomy classifies every unmatched transaction into structured exception categories — timing differences, amount mismatches, missing counterparty records, partial payments, and regulatory adjustments. This replaces unstructured exception buckets with actionable, auditable categories.

Architecture capabilities
Matching approach
Multi-pass deterministic
Match rate improvement
51% to 88%
Configuration
Config-driven, not hard-coded
Exception handling
Structured variance taxonomy
Audit trail
Per-row evidence on every match
Patent status
Applications filed

See how this expertise applies to your business

We configure a working demo using your actual reconciliation patterns and compliance requirements. Most sessions take 45 minutes.