DecisionNext offers a suite of SaaS products that leverage AI and machine learning to provide real-time, risk-aware forecasting and automated recommendations for commodity-driven industries. Users can select and integrate their own data sources, which are refined with the help of DecisionNext industry experts. The platform’s models identify the most predictive data, which users can approve or modify, resulting in automated recommendations that continuously improve over time. DecisionNext supports scenario modeling, risk quantification, and transparency into the drivers behind forecasts, enabling organizations to make confident, data-driven decisions in volatile markets. The platform is designed for use in sectors such as agriculture, food, and natural resources, and is available as both DN Direct and DN Enterprise, with the latter offering advanced features like custom model creation and robust customer support.

Key Features

AI-Powered Forecasting Delivers real-time, risk-aware forecasts for commodity prices and supply.

• Uses machine learning models refined with user input
• Integrates multiple data sources for high accuracy

Automated Recommendations Provides actionable, data-driven decision support.

• Generates recommendations for buying, selling, and contracting
• Continuously improves with user feedback and market changes

Scenario Modeling Allows users to simulate and compare different market scenarios.

• Model market conditions without financial risk
• Evaluate alternatives in procurement, sales, and operations

Risk Quantification Assesses uncertainty and potential downside in forecasts.

• Quantifies risk for different strategies
• Supports margin and profit optimization

Transparency & Explainability Offers visibility into data sources and model logic.

• Explains drivers behind forecasts and recommendations
• Enhances trust and adoption among users

Custom Model Creation (DN Enterprise) Enables advanced users to build and refine their own predictive models.

• Input internal data
• Create and test custom scenarios

Benefits

Improved Decision Quality Enables more confident, data-driven decisions in volatile markets.

• Reduces reliance on gut instinct
• Increases forecast accuracy and business agility

Margin and Profit Optimization Helps organizations maximize returns on commodity transactions.

• Identifies best times and strategies for buying/selling
• Supports dynamic pricing and contracting

Operational Efficiency Streamlines forecasting and decision processes.

• Automates complex analyses
• Reduces manual workload for analysts and managers

Risk Mitigation Provides early warning of market shifts and downside risks.

• Supports proactive risk management
• Enhances resilience to market volatility