Revolutionize Your Decision making with a Powerful Suite of Tools
The ever-evolving commodities market landscape is a moving target. DecisionNext's best-in-class software simplifies everything with the predictive analytics and real-time insights you need. So you can make better decisions, every time.
AI Is in Our DNA. Relentless Innovation Is at Our Core.
With deep roots in evolving and innovating AI solutions, we know how to put it to work. So you can sell at the best times, with the best formulas, at the best prices.
Upgrade Your Gut
Strengthen and optimize your position within rapidly changing commodity markets with the help of cutting-edge predictive analytics. DecisionNext’s advanced AI-powered software suite provides best-in-class econometric tools for optimal risk management and decision-making in virtually any natural resource or agricultural market, traded or non-traded.
Get the best data on the market
Enjoy faster access to dynamic data and fuse it with your own
Utilize the best out-of-the-box models
Improve forecast accuracy with our curated AI-forecast models
Make the best decisions every time
Quantify risk for better informed business decisions
Boost profit and manage risk
Enhance decisions with consistency and repeatability
DecisionNext is a best-in-class AI platform that empowers companies to buy or sell at the best times, with the best formulas, at the best prices. Built in collaboration with our customers, DecisionNext has revolutionized how price and supply forecasting can improve business decisions. And it is the only platform that incorporates users’ wisdom in its algorithms!
DecisionNext is a proud AWS Partner and you can now find our solutions in AWS Partner Portal. Contact us today to learn more.
Our Commodity Expertise
Our suite of tools provides a proven formula for best in class decision making for virtually any commodity in natural resources and agriculture, traded or non-traded.
Food & Agriculture
Beef Pork Poultry Dairy Grains Edible Oils and more...
Natural Resources
Iron Ore Thermal Coal Liquid Natural Gas Copper Nickel Zinc Shipping and more...
Food for Thought
A collection of thought leadership, case studies, interviews and more.
Featured
The DecisionNext Finished Goods Index Report | May 2026
Protein Inflation Is Diverging Ahead of Summer As summer grilling season approaches, the DecisionNext Finished Goods Index is showing a growing divide across the protein …
Diving into the 50s Trim Market Ahead of Summer
Key Insights Despite historically elevated prices, current forecasts point toward a relatively flat-to-lower 50% lean trim market through the summer. The 50s market …
DON Smallgoods Selects DecisionNext to Enhance Procurement Timing and Risk Management Across Pork Markets
DON Smallgoods leverages DecisionNext to improve buy timing, manage risk, and drive more consistent procurement outcomes.
Cattle vs. Carcass: Why You Need Multiple Forecasts to Make Decisions in the Beef Market
Introduction When two time-tested forecast models point in different directions, it is tempting to assume that one of them must be wrong. In practice, that gap between …
Can the other guys really leverage the power of AI to minimize risk and maximize gain? DecisionNext does.
See how our AI-driven platform checks all the boxes.
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| DecisionNext | Free Data Aggregators | Paid Data Aggregators | Data Analyzer | Consulting | |
|---|---|---|---|---|---|
| Cost | $$$ | $0 | $$ | $$ | $$$ |
| Commodity Types | |||||
| Food & Agriculture | |||||
| Natural Resources | |||||
| Forecast Capability | |||||
| Forecasting Centralized Database | |||||
| Periodic Forecasts | |||||
| Daily On-demand Forecast Updates | |||||
| Weekly Outlooks up to 18 Months Out | |||||
| Automatically Track Accuracy | |||||
| Quantified Uncertainty | |||||
| Decision Support Tool | |||||
| Optimal Deal Structuring | |||||
| Forecasted Least Cost Formulation | |||||
| Forecasted Raw Material Utilization | |||||
| Proactive Risk Forecasting | |||||
| "What If" Analysis Tool | |||||
| Patented Expert Opinion Methodology | |||||
| Causal Fundamentals Analysis |