Logistics Reply released GaliLEA Dynamic Intelligence, the new AI Agent Builder, part of its agentic AI solution natively embedded within the LEA Reply Platform, the microservices-based platform for warehouse and supply chain execution.
“With more than 30 years of experience in warehouse execution and end-to-end supply chain processes, we have designed LEA Reply to continuously evolve alongside our customers’ operational needs,” says Piercarlo Benetti, partner at Logistics Reply. “GaliLEA Dynamic Intelligence marks a significant step in bringing agentic AI to the heart of warehouse operations. By enabling customers to create and govern their own AI agents, we are opening a new phase of flexibility, autonomy, and continuous optimization.”
Key takeaways:
· Designed to support warehouse operations through a flexible and scalable architecture, LEA Reply enables end-to-end supply chain execution while continuously evolving to address increasing levels of automation and operational complexity.
· This new enhancement allows customers to configure AI agents within LEA Reply WMS according to specific operational needs. Through a visual interface, users can define data sources, behaviours, and actions, enabling agents to correlate information from multiple internal and external systems, detect anomalies, trigger workflows, and support decision-making based on real-time operational data.
· The solution is based on modular components such as prompts, tools, models, and triggers, enabling even complex scenarios to be built without programming knowledge or AI expertise. This approach accelerates the implementation of AI-driven processes, reduces technical dependencies, and makes automation more widely accessible across operations and business teams.
● With Dynamic Intelligence, customers can build AI agents that react dynamically to operational events; connect agents to multiple internal and external data sources; automate exception handling and repetitive decisions; streamline warehouse processes through adaptive AI-driven actions; design agents that support monitoring, analysis and decision-making; and rapidly prototype and deploy new use cases without specialized AI skills.
