Drive competitive advantage and boost warehouse efficiency and performance
Faced with rising customer expectations and operational complexity, warehouse operators must meet increasingly aggressive shipping deadlines and swiftly adapt to changing requirements while managing persistent labor challenges and cost pressures.
Compounding these challenges are outdated and siloed warehouse technologies that are difficult to manage, support and modernize to keep pace with evolving needs. To tackle these issues, Blue Yonder continues to enhance its industry-leading Warehouse Management Solution with machine-speed, precision and AI to drive competitive advantage, adaptability and greater efficiency in warehouse operations.
Blue Yonder Warehouse Management Solution, one of the company’s Cognitive Solutions, empowers retailers, manufacturers and logistics service providers with a step-change in capability to run leaner, faster and more accurately.
Transformational agentic AI
The enhanced solution transcends traditional warehouse management offerings, delivering predictive planning, transformational agentic AI, adaptive execution, and unified labor and automation for improved operational outcomes.
The solution is built on the Blue Yonder Platform with a modern and true cloud architecture for scale and access to advanced AI capabilities. It uses the AI data cloud to eliminate silos and enable end-to-end interoperability for unified and orchestrated decisioning across systems.
“By leveraging Blue Yonder’s Warehouse Management Solution, Arcadia Cold has built a resilient, high-performance logistics operation with real-time visibility into inventory, shipments and warehouse processes,” stated Christopher Lafaire, Chief Information Officer, Arcadia Cold.
“The solution’s advanced AI and machine learning capabilities enable us to proactively manage disruptions and consistently make optimal decisions, allowing Arcadia Cold to deliver unparalleled service levels, reduce costs and emerge as an industry leader in cold chain logistics,” he continued
The latest enhancements and areas of innovation allow companies to:
Gain visibility and speed with AI agents: The Warehouse Ops Agent is the first AI-powered agent designed to transform warehouse operations. It analyzes complex data in seconds—rather than hours or days—to identify patterns and disruptions and surface actionable insights, enabling faster, more confident decision-making.
Orchestrate and optimize resources in real time: Resource Orchestration gives customers the ability to dynamically allocate resources to tasks and optimize resource assignments as conditions evolve throughout the day.
Dynamically plan labor and resources: Resource Forecasting enables teams to predict labor and resources requirements—by role, equipment, task and work zone—ranging from weeks to minutes before a shift begins.
Continuously model and update slot plans: Advanced Slotting enables customers to transform slotting from a reactive, rules-based process into a proactive, continuously optimized system.
Accelerate value from robotics and automation: Customers can unify labor and automation for enhanced warehouse performance—from streamlined onboarding to adaptable execution and ongoing performance improvements.
Ensure seamless migration with AI-powered tools: Blue Yonder’s new AI-powered migration tools facilitate a smooth upgrade process for all Warehouse Management Solution customers, enabling efficient adoption of the latest systems.
“Warehouse operators face intense pressure in today’s digital world, yet many still struggle with disconnected systems and reactive processes, leading to operational challenges,” commented Gurdip Singh, Chief Product Officer, Blue Yonder.
“Our latest warehouse enhancements provide customers with a new level of efficiency and effectiveness. By building on decades of customer-focused development, our Warehouse Management Solution leverages the power of cloud-native computing and AI, enabling our customers to seamlessly scale resources and act faster with greater precision for better outcomes,” he concluded.
