Everstream Analytics, a global leader in supply chain insights and risk analytics, has announced the launch of its pioneering Crop Prediction solution—a first-of-its-kind platform designed to help organizations across a variety of industries anticipate and respond to agricultural supply chain risks with unprecedented precision.
This powerful new capability empowers companies in food and beverage, cosmetics, chemicals, and even financial services to proactively forecast crop yields and quality by combining predictive modeling with advanced weather intelligence. In an era where extreme weather events are becoming more frequent, severe, and unpredictable, Everstream’s solution arrives at a critical juncture for global supply chains.
A Response to Climate-Driven Agricultural Volatility
The agriculture industry is increasingly vulnerable to the effects of climate change. From prolonged droughts and devastating hurricanes to erratic temperature swings and soil degradation, weather-related disruptions are impacting crop growth and harvesting cycles more than ever before. These events are creating significant uncertainty in key agricultural regions, disrupting supply chains, and raising concerns about food security and price volatility.
Everstream’s Crop Prediction solution is designed to directly address these growing risks. It delivers both short-term and long-term forecasts of crop conditions, allowing procurement and supply chain teams to plan more strategically and respond more quickly to shifting agricultural realities.
“Building on the foundation of our Climate Risk Scores introduced in October 2024, we are now extending our analytics portfolio into precise crop forecasting,” explained Paige Cox, Chief Product Officer at Everstream Analytics. “This advancement enables supply chain leaders to make better-informed decisions across multiple planning horizons—from immediate sourcing actions to longer-term resilience strategies.”
According to Cox, the solution has already been adopted by several major global brands in the food and beverage sector. Early users have leveraged the insights to identify alternative sourcing opportunities, time their procurement more effectively, and negotiate with suppliers based on science-backed projections of yield outcomes.
Cutting-Edge Technology: AI, Weather Intelligence, and Remote Sensing
At the core of the Crop Prediction platform is a blend of artificial intelligence, meteorological science, and remote sensing technologies. Everstream’s proprietary AI algorithms process and interpret vast datasets—from historical weather patterns to soil moisture levels and vegetation indices captured via satellite imagery—to generate highly accurate forecasts of crop health and yield potential.
Among the key variables analyzed by the platform are:
- Precipitation patterns
- Temperature fluctuations
- Soil moisture content
- Vegetation health indicators
- Historical crop performance benchmarks
This multifaceted analysis enables the system to detect early signs of stress in crops across regions and to estimate yield outcomes with high accuracy. The correlation between Everstream’s predictions and actual harvest results has been validated across a range of crops and geographies, reinforcing the model’s reliability.
A Comprehensive Toolkit for Crop Risk Management
The Crop Prediction solution offers a range of features designed to support operational and strategic planning. These include:
- Historical Crop Yield Index Modeling – Allows users to benchmark current conditions against historical averages to detect anomalies early.
- Weekly Regional Monitoring Reports – Provide up-to-date assessments of crop condition changes, enabling timely decision-making.
- Expert Advisory Services – Offer customized consultations during critical growth periods to help mitigate identified risks.
- Coverage of Over 250 Agricultural Layers – Each layer is tailored to the specific acreage and crop type, giving users granular visibility.
- Global Geographic Coverage – Spanning key agricultural regions around the world, the system ensures global supply chains are protected.
“Heatwaves, extended droughts, hurricanes, and erratic rainfall are no longer outliers—they’re the new normal,” said Jon Davis, Chief Meteorologist at Everstream Analytics. “These disruptions have made crop production less predictable, and the ability to understand where and when agriculture is most at risk has become a necessity for businesses and consumers alike.”
Validated by Industry Leaders
Everstream’s Crop Prediction solution has already been implemented by leading enterprises, including Molson Coors CEE and a major fast-moving consumer goods (FMCG) conglomerate. These companies have integrated the system into their broader supply chain risk management frameworks and reported marked improvements in sourcing agility, cost efficiency, and procurement planning.
“We’ve been able to enhance our supply resilience by anticipating disruptions and making smarter procurement decisions thanks to the intelligence provided by Everstream’s Crop Prediction platform,” noted one executive at a participating FMCG firm. “It’s a game-changer for how we approach our agricultural inputs.”
This innovation stands out as the first comprehensive crop forecasting solution in the risk management space that fuses advanced meteorological data, satellite monitoring, and AI-based predictive analytics. While similar technologies have existed in silos—often limited to academia or agriculture-specific applications—Everstream has succeeded in integrating these tools into a platform accessible to a broader audience of corporate supply chain leaders.
Enabling Proactive, Not Reactive, Risk Management
One of the most significant advantages of the Crop Prediction tool is its ability to shift companies from reactive to proactive risk management. Historically, supply chain disruptions stemming from poor harvests or adverse growing conditions have caught companies off guard, leading to production delays, price hikes, and strained supplier relationships.
With this solution, organizations can monitor emerging risks in real time, plan around them with greater agility, and maintain business continuity even in the face of climate shocks. For industries reliant on agricultural commodities—be it wheat, corn, soy, palm oil, or cocoa—the financial and operational benefits are substantial.
