We collect ground level / primary data of farmer, land, crop to create a farmer digital profile. Over the layer of the primary profile, CreditAI adds the secondary information layer that includes – KYC of the farmer, weather data, inputs purchase data from the input shops, income statements, agronomic survey data, loans and liabilities list, lifestyle-related demographics, credit history from the secondary source. This put together gives us ‘Farmer Credit Score’
This scoring model could help increase the scale and scope of lending to small holder farmers, and augment existing value chain finance programs. Digital lending expands the horizons of financial Inclusion and reach the unbanked and Underbanked segments of small holder farmers.
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