Resilience is a climate intelligence tool that provides predictions weeks, months and years in advance to support better decision-making to adapt to the strong effects of climate change. The project transforms complex climate data into actionable forecasts that organizations can use to support everyday operations, reduce risk and improve long-term planning.

Problem

Climate variability and uncertainty have become a major challenge for businesses and public institutions. Weather patterns are changing, traditional seasonality is no longer reliable, and many forecasting methods do not take longer-term climate signals into account. As a result, many organizations plan operations without enough foresight, which increases exposure to risk, inefficiency and waste.

Solution

Resilience provides decision-making support by combining large amounts of climate and environmental data with powerful prediction models. The system collects and curates the relevant data, calibrates prediction models, and evaluates forecasts with both historical and real-time data. Different data sources are then combined and processed to provide information on the time scale and the specific geographical space that users need. Forecasts are delivered through APIs that connect directly to business systems, making it possible to easily integrate climate predictions into daily operations as well as long-term planning processes.

Success Story

• Industry: Retail
• Results: By integrating climate predictions into planning processes, the company improved its ability to anticipate seasonal demand. This led to a 14% increase in sales, due to a better alignment between product availability, customer demand and weather-sensitive consumption patterns.
• Impact: Improved inventory distribution, logistics and seasonal planning across retail operations