Terms of Reference For the Deployment, Operation, and Sustainability of an Automated Voice Alerts System for Mung Bean Farmers in Southern Bangladesh

Background:  The International Maize and Wheat Improvement Center (CIMMYT) is a cutting-edge, non-profit international organization committed to addressing tomorrow’s challenges today. As a core CGIAR Research Center, part of a global research partnership working toward a food-secure future, CIMMYT is dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resource management.

Focusing on the highly profitable yet weather-sensitive mung bean–producing areas of south-central coastal Bangladesh, CIMMYT has developed a farmer-friendly, demand-driven climate advisory dissemination system. Since 2019, CIMMYT has been delivering automated voice-call warnings to women and men farmers at least five days before heavy rainfall events, based on a localized weather forecasting model developed for Patuakhali and Barguna Districts. These alerts help farmers harvest ahead of extreme rainfall, reducing crop damage and minimizing economic loss. The service has delivered an additional income of BDT 16,000 (USD 191) to BDT 52,500 (USD 615) per hectare, saving 40–50% of yield losses through timely harvesting.

CIMMYT  is now seeking social enterprises or technology companies to operate and deploy rainfall-based voice advisory messages to mung bean farmers through an automated voice alerts system and to propose a viable business model (B2B, B2C, or subscription-based) for sustaining the service beyond 2026.

Objective:

  • To deploy and operate a customized automated voice alert system that delivers rainfall forecast–based advisory messages to mung bean farmers at the union level in Patuakhali and Barguna Districts during the 2026 harvesting season (March–June).
  • To build a sustainable business model (e.g., B2B, B2C, subscription, telecom partnership, or hybrid) to support long-term continuation of the service.

 

Submission Deadline: All proposals must be submitted no later than December 31, 2025 .

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