Ever.Ag has unveiled Everett, an agentic AI system designed for the agricultural supply chain, at the American Dairy Products Institute Annual Conference in Chicago. The Ag Decision Engine connects operational data with Ever.Ag intelligence to orchestrate and create workflows within existing agricultural software. Everett launches initially for dairy processing customers, integrated into products including Cheese Yield Optimization, Transportation Optimization and S&OP. The system is built on Ever.Ag's four-decade data foundation and the 2023 acquisition of Austin Data Labs, which pioneered AI for the global food and agriculture supply chain. Ever.Ag operates across all agricultural supply chain domains: production, procurement, transportation, processing, and markets and risk. CEO Scott Sexton said Everett represents the natural evolution of the company's digitisation efforts, harnessing new technology to transform existing data and expertise into actionable decisions.

Ever.Ag has launched agentic AI capabilities within Roger, its agricultural freight execution platform, marking the first agricultural freight platform to embed AI directly into operational workflows. The technology allows users to interrogate live freight data and execute actions through conversational commands in real time. The system enables dispatchers and grain operations teams to surface insights, validate performance, and create, update, dispatch or settle loads without navigating between screens. It provides guided assistance aligned to each customer's standard operating procedures and helps merchandising and accounting teams streamline load review and settlement by highlighting discrepancies and accelerating exception identification. The agentic AI aims to reduce manual interventions during peak crop movement periods when teams manage hundreds or thousands of loads. The capability is immediately available to Roger customers.

Ever.Ag has announced advancements in artificial intelligence for agricultural retail operations, embedding intelligence directly into its Merchant Ag platform. The technology supports ag retailers facing labour constraints, margin pressure and supply chain disruption. The embedded AI provides employees with instant, contextual answers using operational data, helping accelerate onboarding and improve team consistency. The platform also uses machine learning for predictive inventory management, forecasting demand and identifying slow-moving stock whilst recommending actions like transfers or promotional opportunities. McKinsey research cited by Ever.Ag shows applied AI can lift profit margins by 1.2 to 1.9 percentage points. The company focuses on integrating intelligence into existing workflows rather than introducing standalone tools, enabling retailers to operate more efficiently and make data-driven decisions within their daily operations.