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Partner Model

Partner roles for cooperative digitization

AgroSahas connects cooperative operating data with the institutions that provide technology, finance, inputs, offtake, and program support.

Operating network

Cooperative programs across 3 countries

Farmer registry, field workflows, finance readiness, and reporting infrastructure for partner-led value chains.

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Technology and Data Infrastructure

Microsoft, IBM, systems integrators

Cloud, analytics, AI-readiness, security patterns, and integration support for farmer management systems.

Value for cooperatives: Cooperatives gain more reliable data storage, reporting pipelines, and integration readiness for finance, advisory, and buyer systems.

Mobile, Payments, and Connectivity

Telecom operators, mobile-money providers, SMS and WhatsApp channels

Communication and transaction rails for member alerts, advisory messages, payment notices, and field support.

Value for cooperatives: Cooperatives can reach members faster, reduce manual follow-up, and connect field activity to mobile communication records.

Finance and Risk Services

Banks, MFIs, insurers, and credit partners

Financing and risk products that use verified farmer profiles, crop plans, input records, and delivery history.

Value for cooperatives: Cleaner member data improves credit screening, input finance monitoring, repayment tracking, and insurance eligibility.

Input and Offtake Partners

Seed companies, fertilizer distributors, buyers, processors, and aggregators

Commercial relationships that depend on accurate demand forecasts, input utilization, harvest projections, and produce quality data.

Value for cooperatives: Cooperatives negotiate from verified volumes, coordinate aggregation, and report delivery performance by branch or collection point.

Implementation and Development Partners

NGOs, public programs, foundations, and development agencies

Program design, field mobilization, monitoring, evaluation, and learning support for multi-district rollouts.

Value for cooperatives: Program teams get dashboards that connect activity, output, and outcome indicators instead of waiting for manual endline reporting.

Partnership Readiness

What we define before a rollout

Partner programs perform better when data ownership, farmer consent, field responsibilities, reporting cadence, and success metrics are agreed before the first registration campaign.

Data scope

Member fields, farm records, crop calendars, service records, and transaction evidence.

Field workflow

Roles for cooperative staff, branch managers, agents, agronomists, and partner teams.

Reporting cadence

Weekly dashboards, board reports, funder reports, and exception logs.

Outcome metrics

Coverage, adoption, input utilization, repayment visibility, volumes, losses, and buyer delivery.

DigiFarmer Zuri Soy Maize Flour Kukuchku

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