Our client, PFL Nidhi Limited, is a public limited company operating in the Fintech and mutual benefit finance sector. Committed to promoting savings and simplifying financial access for its members, PFL Nidhi required a robust, feature-rich digital platform to manage complex financial operations — from payment gateway integrations and multi-product loan management to real-time interest calculations and compliance-ready financial workflows.

Founded in 2019, PFL Nidhi Limited is a Public Limited Company operating as a mutual benefit financial institution under the Nidhi Company framework in India. With the ethos of being a company “By Members, For the Members, and To the Members,” PFL Nidhi is on a mission to make savings and credit accessible, transparent, and secure for individuals across India.
PFL Nidhi offers a comprehensive suite of financial products including Fixed Deposits, Recurring Deposits, Daily Deposits, Savings Accounts, Mortgage Loans, MSME Loans, and Loans Against Fixed Deposits. Underpinning all of this is a commitment to digital innovation — making financial services simpler, smarter, and safer for every member.

Integrating a reliable and compliant payment gateway was a critical requirement for enabling secure online transactions. Setting up CC Avenue in both sandbox and live environments, while ensuring seamless member payment flows, posed significant technical and coordination challenges between teams.
Because third-party payment gateways often experience delayed server responses, browser sessions timed out before transaction confirmations could be received and properly recorded. This created data integrity risks and a disruptive experience for members attempting to pay installments online.
Calculating daily interest on Savings Account balances — and periodically (monthly, half-yearly, and yearly) for Recurring Deposit accounts — required a highly precise and automated computation engine. Withdrawal transactions further complicated the accurate real-time reflection of account balances.
PFL Nidhi’s diverse product portfolio — spanning Mortgage Loans, MSME Loans, Re-Mortgage options, Savings Accounts, Recurring Deposit Accounts, Fixed Deposit Accounts, and Withdrawal functionality — needed to be unified within a single, coherent platform delivering a seamless experience for both members and administrators.
Ensuring accuracy across complex interest calculation scenarios was a substantial challenge. Building comprehensive test coverage for daily Savings Account interest and periodic RD account interest cycles (yearly, monthly, and half-yearly) demanded meticulous planning to guarantee system reliability at scale.
Our team directly coordinated with the Kotak Mahindra Bank technical team and conducted thorough R&D for the CC Avenue Payment Gateway, implementing it across both sandbox and live environments. This ensured a fully verified, compliant, and secure payment processing infrastructure for all PFL Nidhi member transactions.
To resolve session timeout issues during payment processing, we implemented a robust transaction-tracking mechanism that stored the member’s log-in ID in the transaction table at the point of initiation. Upon a successful CC Avenue payment response, the system automatically re-authenticated the user — ensuring zero data loss and a seamless, uninterrupted payment journey.
We designed and implemented a master interest slab table combined with scheduled database jobs to automate daily and periodic interest calculations across all account types. Custom logic was built to ensure that withdrawal transactions were instantly and accurately reflected in real-time balance computations, maintaining complete financial accuracy for every member account.
Our development team architected a single, integrated web platform capable of handling PFL Nidhi’s full range of financial products. Each module — from loan applications and account management to installment payments and deposit tracking — was cohesively integrated, delivering a consistent and intuitive experience for members and back-office teams alike.
We developed a separate database pre-populated with historical bulk data to simulate a wide range of interest calculation scenarios. From this foundation, a thorough suite of automated test cases was created and validated, covering daily, monthly, half-yearly, and annual interest computations across all product types with full accuracy prior to go-live.

The collaborative efforts of our fintech development team and PFL Nidhi resulted in a powerful, scalable, and member-centric digital platform that delivered significant, measurable outcomes: