Payzo is a Sri Lankan fintech platform designed to reduce risks in Cash on Delivery (COD) transactions. The platform helps online sellers identify fake buyers, manage orders securely, and improve overall delivery success rates.
By combining buyer verification, trust scoring, and a shared blacklist system, Payzo creates a safer ecosystem for both sellers and customers.
Today, Payzo supports growing e-commerce businesses across Sri Lanka, helping them reduce losses and increase operational efficiency.
Project Link: https://payzolanka.com/
Our Impact
Trusted by 100+ growing online sellers
600+ orders processed through the platform
Up to 70% reduction in fake COD orders
2x faster order verification process
The Challenge
Sri Lankan online sellers heavily rely on Cash on Delivery (COD), but face a major issue, fake orders and unreliable buyers.
Many businesses reported:
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High number of fake or prank orders
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Increased delivery and return costs
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No system to verify buyer authenticity
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Lack of shared data between sellers
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Time wasted on manual confirmation calls
Without a proper system, sellers were operating blindly, leading to financial losses and reduced trust in online selling.
What did
Payzo do
Nexus Labs designed and developed Payzo as a trust-based COD management platform to address fraud, fake orders, and inefficiencies in the Sri Lankan e-commerce ecosystem.
Fraud Prevention System Development
Nexus Labs engineered a system to detect and reduce fake COD orders by analyzing buyer behavior and historical data patterns.
Buyer Verification Implementation
A secure OTP-based verification flow was implemented to ensure only genuine users can place orders.
Trust Score Algorithm Design
Nexus Labs developed a dynamic trust scoring system that evaluates buyers based on order history, cancellations, and activity, helping sellers make informed decisions.
Shared Blacklist Infrastructure
A centralized blacklist system was introduced, allowing sellers to report and identify high-risk buyers across the platform.
Dashboard & Analytics System
An intuitive dashboard was built for sellers to monitor orders, track risky customers, and gain actionable insights in real time.
The Results
- 70% reduction in fake orders within first 3 months
- Significant drop in delivery losses and return costs
- Faster order processing with automated verification
- Increased trust between buyers and sellers
- Better decision-making using real-time data
