Alternative Credit Scoring for Smallholder Farmers
eAgro provides a digital platform to facilitate easy access of affordable financial services to farmers, Farmer Collectives (FPC/FPOs) and agribusinesses.
Our alternative credit risk assessment model is providing financial institutions with an agriculturally relevant and data-driven model to assess risk and develop loans that fit the needs of smallholder farmers.
We collect and aggregates alternative datasets from multiple sources, in Zimbabwe and around the world, to build credit scores for smallholder farmers in Africa.
These alternative datasets are analyzed by our machine learning algorithm to produce relevant credit scores for smallholder farmers, and decisioning tools that enable financial institutions to develop small-scale agriculture loan products.
Why Use our Model?
Increased Portfolio
We help financial institutions reduce the time spent manually assessing farmer creditworthiness and creating agriculture loan products, thereby accelerating agricultural portfolio growth.
Banking-as-a-Service (BaaS) to our financial partners for real-time monitoring of their Loan Asset & Portfolio
Cost reduction
Working with eAgro helps financial partners cut costs in three ways. First, digital farmer acquisition eliminates the need for costly on-the-ground recruitment. Secondly, alternative risk assessment and data-driven loan product development reduce losses due to default. Finally, the scalability of eAgro's model reduces operational costs institution-wide on everything from paper consumption to travel fees
Risk Mitigation
The first line of defense against credit risk is our algorithm which produces credit scores that account for the many factors that affect the repayment capacity of farmers.
Additionally, by providing decisioning tools and bundling the loans with hybrid index insurance, we help financial institutions create loan products that are more likely to be repaid on time and protected in the event of unforeseen environmental circumstances.
