Tech Mahindra wins FICO hackathon with e-commerce return solution
Tech Mahindra won FICO's GSI Partner Hackathon with a solution reducing COD return losses in India. The platform uses 70+ risk signals to cut Return-to-Origin rates by 6-9%, saving ₹1 crore monthly on one million orders. The solution offers audit-ready decisioning for payment eligibility and logistics optimization.

*this image is generated using AI for illustrative purposes only.
Tech Mahindra has been named a winner at FICO’s second annual Global System Integrator (GSI) Partner Hackathon, recognized for developing a solution that addresses the financial losses caused by Cash-on-Delivery (COD) returns in India’s e-commerce sector. The winning team presented their solution at FICO World 2026, held from May 19 to 22, 2026, in Orlando, Florida, demonstrating how real-time decisioning can mitigate operational risks in high-return environments.
The hackathon, held at FICO’s Bengaluru campus, challenged leading GSI partners to build real-world solutions using the FICO Platform. Tech Mahindra’s entry focused on the disparity between COD and prepaid order returns, noting that industry reports cite Return-to-Origin (RTO) rates of 25-30% for COD orders compared to just 2-3% for prepaid transactions. The solution is designed to evaluate more than 70 risk signals across the cart-to-payment journey to determine COD eligibility, prepaid incentive strategies, delivery partner selection, and dark store routing.
Key Metrics of the Solution
| Metric | Value |
|---|---|
| Risk Signals Evaluated | 70+ |
| Projected RTO Reduction | 6-9% |
| Monthly Loss Reduction | ₹1 crore |
| Order Volume Basis | 1 million per month |
Based on a volume of one million orders per month, the platform is projected to deliver a 6-9% reduction in RTO rates. This improvement translates to approximately ₹1 crore (around $120,000 USD) in monthly loss reductions for retailers. The architecture is built to provide transparent, explainable, and audit-ready decisioning, allowing enterprises to strengthen governance while reducing operational losses.
Anil Venuturupalli, SVP, Global Head of the Banking & Products Group and Chief Product Officer for Financial Services at Tech Mahindra, stated that retailers are increasingly seeking intelligent decision-making beyond simple transaction processing. He noted that the award-winning solution demonstrates how transparent, real-time decisions across the customer journey can enable smarter fulfillment and optimized payment strategies.
What the Numbers Show
The significant gap between COD RTO rates (25-30%) and prepaid RTO rates (2-3%) highlights a structural inefficiency in India’s e-commerce logistics model. By leveraging data analytics to filter COD eligibility before dispatch, Tech Mahindra’s solution targets the primary driver of these losses. The projected savings of ₹1 crore per month on a base of one million orders suggests a scalable impact, where even marginal improvements in conversion efficiency yield substantial cost avoidance for merchants operating on thin margins.
The solution was evaluated by a panel of five FICO judges based on alignment with the challenge, business impact, innovation, customer appeal, teamwork, and presentation quality. Jason Andrew, Chief Revenue Officer at FICO, remarked that the best solutions address problems others view as inevitable, highlighting Tech Mahindra’s approach to the COD returns crisis as an opportunity for innovation rather than a fixed cost of doing business.
Historical Stock Returns for Tech Mahindra
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| +0.09% | +0.91% | +17.31% | +0.29% | +11.86% | +35.64% |
How might Tech Mahindra's COD risk-assessment model influence broader payment gateway policies and consumer trust in India's e-commerce sector?
What are the potential competitive responses from other system integrators or fintech firms to this real-time decisioning architecture?
Could the success of this solution accelerate regulatory scrutiny on e-commerce return practices and cash-flow management in India?


































