Move to power the autonomous supply chain with NVIDIA
Blue Yonder, the AI company for supply chain, has announced its Model Training Factory, built on NVIDIA Nemotron, to accelerate the development of specialized AI agents for the autonomous supply chain.
The Model Training Factory is a repeatable system for fine-tuning and testing highly specialized supply chain models. Trained to consistently perform high-value tasks at the level of supply chain subject matter experts, these models are fine-tuned and built to execute complex, multi-step supply chain workflows, working alongside human operators and then graded to ensure high-quality outcomes.
Accessed via agentic AI, they will ultimately enable supply chain processes to run autonomously, driving decisions across warehouse management, supply and demand planning, transportation, merchandising and network operations.
Open-source models
Blue Yonder and NVIDIA are working together, fine-tuning Nemotron open-source models for agent development, to build and deploy a system that combines NVIDIA’s Nemotron open-source models and NeMo AI tools with Blue Yonder’s four decades of supply chain decisioning, data and operational expertise.
Supply chain decisioning is extremely complicated, demanding real-time analysis and coordination across globally distributed teams. It requires extreme precision at very low latency across thousands of warehouses, lanes and stores.
The next generation of AI assistants will help organizations analyze what is happening in the supply chain faster, with more advanced and precise AI, and faster speed only possible with agentic AI.
Specialized agents
Enterprises are moving from AI assistants to teams of specialized agents that can perceive, reason, use tools and act alongside human operators at machine speed. The economics of doing that at scale are shifting fast. As coding agents drive a surge in demand for inference, the cost of running large frontier models in production keeps climbing.
The model factory addresses these problems with a hybrid approach: frontier models where their breadth is needed, and custom supply chain models trained to work alongside them, delivering the precision and speed individual workflows demand at a fraction of the cost.
“Working with NVIDIA, we’re building owned intelligence, not rented intelligence—supply chain models trained on the workflows, telemetry, and decision logic that actually run a warehouse or a planning system. This isn’t a one-off fine-tuned model. It’s a factory, and it produces purpose-built agents at the speed, precision, and cost the autonomous supply chain demands,” explained Duncan Angove, CEO, Blue Yonder.
Each model is trained to become an expert in specific tasks, deliver specific outcomes of agentic decisioning and is held to strict evaluation criteria before deployment and as it improves over time. Models are trained on synthetic data, not customer data.
Fine-tune models
“Blue Yonder is leveraging NVIDIA Nemotron, the NVIDIA NeMo Agent Toolkit and NVIDIA AI Enterprise to build a Model Training Factory that fine-tunes models with proprietary supply chain data, enabling them to build agentic AI systems for some of the world’s largest and most complex supply chains,” stated Azita Martin, Vice President and General Manager, Retail and CPG, NVIDIA.
Blue Yonder plans to roll out the first models against warehouse management workflows, including WMS allocation shorts, inventory exceptions, due-time urgency and inventory across yard and receiving trailers.
The model factory turns operational expertise into reusable AI training signals, encoding that intelligence across domains in a repeatable way that can scale across the supply chain.
