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95 % ACCURACY Reconciliation Accuracy Drastically reduced the margin for human error across hundreds of monthly line items. |
15 % OPTIMISATION Input Tax Credit Unlocked Previously missed or delayed Input Tax Credits recovered through superior data matching. |
“Claude transformed GST reconciliation from a manual compliance exercise into an intelligent, continuously managed process. With 95% reconciliation accuracy, 15% higher ITC capture, and 75% less manual effort, our finance team can now focus on exceptions rather than transactions. More importantly, AI is helping us protect working capital while strengthening compliance.”
— Rajesh Devarajan, MD, Hablis Hotel
Client profile
Hablis Hotel — a standalone luxury boutique hotel in Chennai, managing heavy operational expenditures across high-end vendor networks (gourmet food suppliers, luxury amenities, facility maintenance, and marketing agencies) integrated with their existing PMS.
The challenge
Navigating India’s complex Goods and Services Tax (GST) landscape presented a financial and operational challenge. To maximize Input Tax Credit (ITC), the hotel needed to continuously match its internal purchase and expense registers against the sales invoices uploaded by its diverse suppliers to the GST portal in the GSTR-2B form.
Data Asymmetry: Supplier invoices regularly contained minor data mismatches (e.g., slight discrepancies in invoice numbering format, different legal names vs. hotel trade names registered in the accounting books etc)
Timing Mismatches: Vendors often filed returns in subsequent months, creating a moving target for the internal accounting team trying to map expenses back to room and outlet supplies.
Financial Leakage: Manual process leads to human errors and time consuming, missing matches, causing the hotel to miss out on rightful ITC claims or risk tax penalties for over-claiming un-filed credits.
The solution
An AI-Powered GST Reconciliation Framework was deployed to transition the hotel from manual spreadsheet filtering to an intelligent, automated tax workstation that extracts purchase metrics alongside the backend data.
Fuzzy-Logic Document Matching: Built-in AI machine learning models process text and numbers dynamically, successfully pairing transactions despite variations in invoice formats, truncated vendor names, or rounded-off decimal amounts.
Continuous Multi-Period Tracking: The AI perpetually cross-references historical backlogs, automatically matching late-filed vendor invoices from prior months against current internal books.
Key metrics & impact
95% Reconciliation Accuracy: Drastically reduced the margin for human error across hundreds of monthly line items.
15% ITC Optimization: Unlocked previously missed or delayed Input Tax Credits due to superior data-matching capabilities.