Smarter Warehouses: Logistics Reply Debuts No-Code AI Agent Builder

TURIN, Italy – January 19, 2026 – In a significant move to democratize artificial intelligence for the supply chain sector, Logistics Reply has launched GaliLEA Dynamic Intelligence, a novel AI Agent Builder. The new tool, natively embedded within the company's LEA ReplyTM warehouse management platform, is designed to empower logistics professionals to create, configure, and deploy their own custom AI agents directly into live operational workflows, all without requiring specialized programming skills or a background in data science.

This launch signals a pivotal shift in how warehouse automation is approached, moving beyond rigid, pre-programmed systems to a more flexible and intelligent framework. By putting the power of AI development into the hands of on-the-ground operational managers, the company aims to accelerate the adoption of smart technologies and address the escalating complexity of modern supply chains.

The Dawn of the Agentic Warehouse

The introduction of GaliLEA Dynamic Intelligence brings the concept of “agentic AI” from theoretical discussions into practical application for warehouse management. Unlike traditional AI, which often excels at analyzing data and providing recommendations for humans to act upon, agentic AI involves creating autonomous agents that can perceive their environment, reason, make decisions, and execute tasks to achieve specific goals. It represents a move from passive analytics to proactive, autonomous action.

Industry analysts see this as the next frontier in supply chain management. Gartner, for instance, predicts that by 2030, a significant portion of cross-functional supply chain solutions will use intelligent agents to autonomously execute decisions. These are not simple bots following predefined scripts, but a virtual workforce capable of learning and adapting. An AI agent in a warehouse context can continuously monitor inventory levels, track inbound shipments, and analyze demand forecasts, then autonomously decide to re-prioritize put-away tasks or adjust labor allocation to meet an unexpected surge in orders. This capability is crucial for building the kind of resilience and agility needed to navigate today’s volatile global markets.

Democratizing Advanced Automation

A core promise of GaliLEA Dynamic Intelligence is its accessibility. The platform features a visual interface where users can assemble AI agents using modular components like prompts, tools, models, and triggers. This low-code/no-code approach allows a warehouse manager, who possesses deep domain knowledge but lacks coding expertise, to build an agent that solves a specific operational problem.

For example, a manager could configure an agent to monitor data from IoT sensors on conveyor belts. If the agent detects an anomaly—a vibration pattern that suggests an impending failure—it could automatically trigger a workflow to reroute goods, create a maintenance ticket, and notify a technician, all before a costly breakdown occurs. Previously, creating such a system would require a lengthy and expensive development cycle involving multiple technical teams. Now, the goal is to enable rapid prototyping and deployment by the people who understand the operational needs best.

This empowerment of non-technical users is a critical step in overcoming one of the biggest barriers to AI adoption: the talent gap. By abstracting away the underlying complexity, the platform allows businesses to focus on the strategic application of AI rather than the technical implementation. However, the success of such deployments will still hinge on crucial prerequisites, including high-quality data integration and robust governance frameworks to oversee the agents' autonomous actions.

Driving Tangible ROI and Complex Use Cases

The business case for adopting agentic AI in the warehouse is compelling, promising significant return on investment through enhanced efficiency, cost reduction, and error mitigation. Industry research suggests that intelligent automation can reduce expedite costs by a notable percentage of total logistics spend and cut overall supply chain costs by improving inventory optimization and preventing stockouts.

With GaliLEA Dynamic Intelligence, these benefits can be realized through a variety of complex use cases:

• Dynamic Slotting: AI agents can continuously analyze product velocity and demand forecasts to recommend or execute the relocation of goods within the warehouse, ensuring fast-moving items are always in the most accessible locations to reduce picker travel time.
• Automated Exception Handling: Instead of merely flagging an issue, an agent can manage it. If an incoming shipment is delayed, an agent can correlate data from the transportation management system (TMS) and warehouse management system (WMS) to automatically adjust labor schedules and re-prioritize receiving dock assignments.
• Intelligent Task Orchestration: Agents can act as digital dispatchers, assigning tasks to human workers and robotic systems based on real-time availability, skill sets, and location, optimizing the flow of work across the entire facility.

These applications demonstrate a shift from static, rule-based automation to a dynamic, self-optimizing operational model. This capability is further bolstered by the solution's ability to connect to and reason across multiple internal and external data sources, creating a holistic view of the operation that was previously difficult to achieve.

A Strategic Play in a Competitive Market

The launch of GaliLEA Dynamic Intelligence is a clear strategic move by Logistics Reply and its parent company, Reply, to solidify their leadership in the increasingly competitive logistics technology market. As major technology providers and specialized startups race to infuse AI into supply chain solutions, Logistics Reply is differentiating itself by focusing on a user-friendly, integrated agent builder.

This new offering builds upon the success of its multi-agent AI solution GaliLEA, which won the prestigious LogiMat Best Product Award in 2024, signaling strong market validation for its approach. The platform's microservices-based architecture aligns with the broader Reply group's strategy of delivering cloud-native, modular, and highly specialized solutions that drive digital transformation.

“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,” stated 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 optimisation.”

Dynamic Intelligence is now available as part of the GaliLEA AI suite within the LEA Reply platform, offering both new and existing customers a pathway to upgrade their warehouse operations toward a more adaptive and intelligent future.