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NinjaCart moves over 1,500 tonnes of produce daily across India, connecting 800,000 farmers with 100,000 retailers, restaurants, and small business owners. For nearly a decade, they've been building India's most trusted and inclusive agri-trade network, creating opportunities and promoting sustainable futures for everyone in the value chain.
Challenges
Data Scarcity in Agriculture
Operating in India's evolving agricultural sector, NinjaCart faced significant challenges with traditional credit assessment methods, as conventional sources like bureau and government records proved insufficient for their customer demographic.
Credit Assessment Complexity
The informal nature of the agriculture industry created a critical gap in visibility into customer identities and credit risk, making loan disbursals time-consuming and complex.
Loan Disbursal Speed
With credit being the lifeline of their customers' businesses, NinjaCart needed to balance thorough risk assessment with quick disbursement while maintaining sustainable growth.
Solution
NinjaCart partnered with Monnai to implement a comprehensive credit decisioning system that delivered:
Alternative Data Access
Monnai's platform enabled gathering of extensive data on both New to Credit (NTC) customers and seasoned borrowers through a single API.
Real-time Decisioning
The solution provided a holistic view of customers across India, enabling truly real-time credit decisions based on alternative data points.
Comprehensive Assessment Tools
Integration of multiple solution packages including telecom and financial consumer data for robust decision-making.
Outcomes
Reduced Risk
Achieved 3x reduction in payment delinquency through more informed decisioning and successful identification of high-risk customers.
Improved NTC Performance
Realized 25% reduction in overall Days Past Due (DPD) for New to Credit customers through enhanced credit decisioning.
Increased Business Value
Achieved 1.5x increase in credit limits for trusted customers, driving higher transaction values while maintaining risk standards.
