WTW and Global Parametrics Deliver New Parametric Solution to Coffee Farmers in Vietnam

Willis and Global Parametrics have triggered the first payout of a parametric insurance policy for coffee farmers in Vietnam following low rainfall during the 2024 growing season. This milestone highlights the growing maturity of satellite-based risk transfer in emerging markets, offering a template for protecting agricultural supply chains against climate volatility without traditional claims overhead.

What was announced

The Coffee Climate Protection Insurance (CCPI) programme was designed to protect the revenue of Vietnamese coffee farmers against yield losses caused by drought. Placed by Willis with Bao Minh Insurance Corporation in early 2024, the solution specifically targets the critical flowering period when coffee plants are most vulnerable to water scarcity. Vietnam is currently the world’s second-largest coffee producer, making the stability of its harvest vital for global commodity markets.

The mechanism relies on satellite data to monitor rainfall levels across the country’s primary coffee-growing regions. When precipitation falls below predefined thresholds, the policy is automatically triggered. This eliminates the need for lengthy on-the-ground damage assessments or individual claims filings, ensuring that farmers receive financial support rapidly. Many of these farmers operate on a small scale with limited financial resources, making timely liquidity essential for operational continuity.

Risk capacity for the payouts is provided by the Natural Disaster Fund (NDF). This public-private partnership is managed by Global Parametrics and receives funding from the UK government’s Foreign, Commonwealth and Development Office alongside Germany’s development bank, KfW. The programme was developed as part of the "De-Risk South-East Asia" initiative, involving a collaboration between Willis, Global Parametrics, ECOM Agroindustrial Ltd, Bao Minh Insurance Corporation, and the University of Southern Queensland in Australia.

"This programme supports the resilience of coffee farmers in Vietnam against the impacts of an increasingly volatile climate, giving them much-needed financial support and allowing them to recover quickly when adverse weather threatens their livelihoods."

Claire Wilkinson, Managing Director, Alternative Risk Transfer Solutions at Willis

The companies involved

Willis, operating as a WTW business and listed on the NASDAQ, acts as a global intermediary in the risk management and insurance brokerage space. The firm has increasingly focused on alternative risk transfer solutions to address climate-related gaps in traditional insurance markets, specifically through its Alternative Risk Transfer Solutions division.

Global Parametrics is a subsidiary of the CelsiusPro Group, a specialist in parametric protection against natural disaster and climate risks. The company manages the Natural Disaster Fund (NDF), which utilizes a blend of public and private capital to provide risk capacity for climate-resilient projects in developing economies where traditional insurance penetration is often low.

Bao Minh Insurance Corporation serves as the local primary insurer in Vietnam, facilitating the distribution of the CCPI programme to the domestic farming community. The initiative is further supported by ECOM Agroindustrial Ltd, one of the largest family-owned coffee merchants globally, which integrates these financial protections into its supply chain sustainability efforts. Technical and meteorological modeling for the programme’s development was provided by the University of Southern Queensland.

What this means

This payout signals a shift in how the insurance industry handles systemic climate risk in the Global South. By removing the "human element" from the claims process through satellite triggers, the CCPI programme addresses the primary barrier to micro-insurance: administrative cost. However, the reliance on public-private funds like the NDF raises questions about the long-term scalability of these products without deeper involvement from purely private reinsurance capital. For the wider fintech sector, the success of this trigger proves that data-driven, automated payouts are no longer theoretical, putting pressure on traditional indemnity providers to justify slower, manual assessment models in high-risk agricultural zones.