Work with smallholders.
Profitably. Inclusively.

Are you keen to learn from front-running businesses in the sector? This is the IDH Farmfit Intelligence Portal, designed to support companies in building business models to serve smallholders - at scale!

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Here is how we can help

Discover Innovations

From our database of over 50 companies working with smallholder farmers in 18 countries and 11 supply chains, we’ve curated the most innovative business approaches to match your most pressing challenges.

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Benchmarking Database

We help you gauge the performance of the services you provide to smallholders, by comparing it with data collected on other businesses around the globe.

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Business Modelling

Simulate the effect of changing the way your business engages with smallholder farmers. By tapping into our database of over 270 datapoints collected on Service Delivery Models, you'll see the impact of offering new, tailored and cost-efficient services to smallholders.

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Latest
Innovations

Working with smallholders is challenging. Learn how others have addressed these challenges head-on by using innovative approaches.

Mobile Aggregation Center (MAC): An aggregation and service solution in smallholder agriculture

Mobile Aggregation Centres (MACs) emerged as a flexible, transparent, and cost-efficient solution for Smart Logistics Services to source from scattered smallholder farmers. These aggregation and service centres, installable in different locations, addressed the company’s high aggregation costs and simultaneously improved farmers access to a nearby market and post-harvest services.

Integrated end-to-end traceability and ai credit scoring to unlock access to finance

End-to-end traceability and AI credit scoring: Field agents, equipped with fingerprint
scanners, smartphone with a pre-installed in-house developed app, and more, create a complete,
verifiable and traceable profile of farm(er)s and produce. Data is stored in the app allowing
digitization, aggregation and manipulation. Coupled with a proprietary AI credit scoring algorithm,
the data is leveraged to predict non-performing loans (NPL) with very high accuracy. With scale
and over time, the predictors of NPLs can be better understood.