Blue Yonder Unveils Five AI Agents to Upgrade Supply Chains
Blue Yonder has showcased a major upgrade to digital supply chain strategy at ICON 2025, launching five AI agents as part of its new Cognitive Solutions.
The agents, announced by CEO Duncan Angove during the event in Nashville, Tennessee, are designed to help businesses make decisions faster, operate with more precision and improve resilience in the face of ongoing global uncertainty.
The new AI agents are built on more than 20 years of artificial intelligence and machine learning research.
According to Duncan, they let customers âact with machine speed and precision, even in complex situationsâ. Cognitive Solutions now use AI that is built in from the start, enabling seamless coordination across tasks, decisions and workflows within the entire supply chain.
Sitting on the Blue Yonder Platform and Snowflake AI Data Cloud, these solutions are cloud-native, network-ready and fully interoperable. That means companies using Blue Yonderâs tools can move from raw data to real-world actions without delay.
Predictive, generative and agentic AI elements also bring new user experiences into the mix, automating routine decisions while flagging critical ones for human approval.
These capabilities are embedded into the platform to support faster decisions, address disruptions in real time and help businesses improve profitability.
Blue Yonder says its tools are already helping more than 3,000 global companies stay on course despite rising complexity and volatility in supply chains.
Five AI agents tackle key pressure points
At the heart of Blue Yonderâs new approach are five AI agents, each focused on a core aspect of supply chain operations:
Inventory Ops Agent highlights mismatches and root causes between supply and demand, whether from constraints or errors. It suggests fixes like alternate sourcing or demand swaps and communicates these to downstream partners.
Shelf Ops Agent speeds up planogram editing â the visual layouts used for product placement in stores â by allowing planners to make updates through simple, natural-language commands. This agent increases productivity across multiple stores and projects.
Logistics Ops Agent monitors transport conditions in real time, automates scheduling and suggests routing changes. It helps reduce emissions, improve delivery performance and cut costs by keeping logistics teams one step ahead.
Warehouse Ops Agent coordinates shifting warehouse activities to deliver consistency and responsiveness. It reallocates labour, adjusts layouts, detects outbound risks and manages OTIF (on time in full) compliance to raise throughput and service quality.
Network Ops Agent enables customers to oversee their multi-enterprise operations by providing predictive updates, carrier and order automation and disruption management. It allows cross-channel interactions to jointly address problems and fine-tune performance.
Each AI agent functions in adaptive user interfaces that adjust to the user's context â whether working on a laptop, in a vehicle or at a warehouse. With real-time notifications and mobile access, teams can act from anywhere.
"With more than 25 billion AI predictions being delivered every day, Blue Yonder is taking supply chains to the next level with our AI agents," Duncan explains.
Partnerships and platforms powering smarter decisions
The company also introduced the Agent Activation Advisory programme, which helps customers begin using AI agents within six to 12 weeks. This initiative is being developed with Microsoft AI Co-Innovation Labs, with a focus on practical, tailored AI solutions for complex global supply chains.
Alongside this, Blue Yonder confirmed a new partnership with Microsoftâs Azure AI Foundry. The Foundry provides a unified software development kit, APIs and secure data tools that allow for customisation, management and faster deployment of AI applications at scale.
One of the technical pillars underpinning these solutions is a supply chain knowledge graph, developed in collaboration with Snowflake and RelationalAI. This graph uses declarative, human-readable language to represent business relationships and workflows. That structure allows AI agents to reason more effectively, even when supply chains cross multiple partners and geographies.
The knowledge graph enables businesses to react faster to supplier changes, move from reactive planning to insight-driven forecasting and extend AI capabilities across the wider network using the combined technologies of Blue Yonder, Snowflake and RelationalAI.
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