Our Case Study
payu tds reconciliation crm
PayU faced a critical challenge in reconciling TDS amounts for over 8,000 merchants. Enterprises often risk losing tax credits due to ineffective reconciliation between books of accounts and government records (Form 26AS). Manual reconciliation processes were time-consuming and prone to errors, leading to mismatches, potential penalties, and interest levies.
The reconciliation of TDS for a large merchant base presented several challenges:
- High Volume of Data: Managing TDS reconciliation for 8,000+ merchants created a huge dataset that needed to be efficiently tracked and cross-checked.
- Inconsistent Reconciliation: Enterprises risk losing tax credits due to irregular reconciliation between their internal accounting and Form 26AS records.
- Manual Efforts: The traditional, manual approach to TDS reconciliation was labor-intensive, time-consuming, and prone to errors.
- Risk of Penalties: Inaccurate reconciliation increased the likelihood of penalties and interest charges due to delays and mismatches.
- Data Complexity: Handling large volumes of data from various merchants, ensuring accuracy and proper alignment with government records.
- Manual Reconciliation: The manual effort required to reconcile such a vast data set added complexity and increased the risk of errors.
- Risk Management: Enterprises faced the risk of interest and penalties due to untracked discrepancies in tax credits.
- Integration Requirements: The solution needed to be integrated with existing systems such as SAP , OCR tools, KYC processes, and other relevant APIs.
To solve these challenges, we developed a custom eTDS reconciliation software tailored to handle large datasets while integrating seamlessly with existing SAP systems. The software included:
- Automated TDS Reconciliation: Our technology-enabled solution managed TCS and TDS reconciliation as per Form 26AS and the books of accounts.
- Analytical Dashboards: The system provided actionable reports and dashboards, allowing for digital management of TDS reconciliation and identification of mismatches.
- Tax Credit Management: The software enabled tax credit management and improved processes to minimize potential risks.
- Integration with OCR, KYC, and APIs : To ensure efficient data handling, the solution was integrated with OCR , KYC verification processes, and other relevant APIs, ensuring complete automation of the reconciliation process.
To solve these challenges, a custom eTDS reconciliation software was developed using modern technologies like React for the front-end and Node.js for the back-end. These technologies ensured scalability, high performance, and flexibility in handling the complex requirements of the project.
Use of React and Node.js:
- React (Front-End):
- Dynamic UI: React was used to build a responsive, dynamic user interface. The reconciliation dashboards provided users with real-time, actionable insights, making it easier to track mismatches and view tax credit management reports.
- Efficient Rendering: With React's virtual DOM, large datasets could be displayed and managed efficiently without causing lags or slow performance, ensuring a smooth user experience even when handling large amounts of merchant data.
- Component-Based Architecture: React's component-based structure allowed for reusable and scalable UI components, making it easier to maintain and update as the system evolved.
- Node.js (Back-End):
- Scalability: Node.js was chosen for its non-blocking, event-driven architecture, which allowed for high concurrency and the ability to handle large-scale data processing in real-time.
- API Integration: Node.js enabled smooth integration with existing systems like SAP, OCR tools, and KYC APIs. This made it easy to automate data flow between the system and external services, ensuring seamless reconciliation.
- Real-Time Data Processing: With Node.js, the system could efficiently process vast volumes of data in real-time, facilitating fast reconciliation between merchant data and government records (Form 26AS).
- Error Handling and Logging: Node.js provided robust logging and error-handling capabilities, ensuring that any discrepancies in the reconciliation process could be quickly identified and addressed.
Costing & Budgeting: The development cost was structured to balance between PayU's need for a highly scalable solution and their budgeting constraints.
- Development Cost: The initial custom development was designed to fit within the financial plan, allowing for flexibility as the project scaled.
- Maintenance & Support: Ongoing support costs were factored into the project, including upgrades to keep pace with changes in tax regulations and technological advancements.
The project was planned for completion and went live within the same financial year. Our team worked closely with PayU to ensure timely delivery of all milestones, ensuring a smooth implementation without disrupting ongoing financial operations.This comprehensive training enabled PayU to efficiently manage their merchant TDS reconciliation, ensuring accurate tax credit management and process improvements. The solution also prepared their team for TCS or TDS assessments with confidence.
Upon completion, extensive training sessions were provided to the PayU team. These sessions covered:
- How to use the reconciliation dashboards and reports.
- Process improvements and best practices for handling large datasets.
- Troubleshooting and managing potential discrepancies or mismatches in reconciliation.
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