Hardis Supply Chain Unveils AI and Product Roadmap for the Next Generation of Supply Chain Orchestration

New York - October 8, 2026 - Hardis Supply Chain, a global leader in supply chain software and technology solutions, today unveiled key priorities in its product and artificial intelligence strategy to address the evolving needs of logistics professionals while supporting its international growth ambitions.
The company is focused on helping logistics organizations manage more complex operations while improving visibility, agility, and decision-making. Key initiatives include expanding AI across the Hardis Supply Chain portfolio, moving to a continuous update model for Hardis WMS, and extending orchestration beyond the warehouse to transportation, order management, and other supply chain processes.

A Three-Stage Approach to AI in the Supply Chain

Artificial intelligence and machine learning are already embedded in Hardis Supply Chain solutions. Current capabilities help organizations orchestrate labor, automated equipment, and robotics in real-time, anticipate potential missed carrier cutoffs and performance issues, and determine the most appropriate fulfillment location for individual orders.

The next step is a cross-functional AI platform that brings together operational data, business knowledge, and multiple AI models to harness generative and agentic AI wherever it creates value. Built around open technologies, including the Model Context Protocol (MCP) and agent-to-agent (A2A) orchestration, the platform will support interoperability across Hardis Supply Chain solutions and third-party applications.

"We believe the future of AI in the supply chain is not about creating a collection of disconnected assistants," said Pauline Poissonnier, Head of Alliances and Solutions at Hardis Supply Chain. "Our vision is to create a platform that can use AI to help users access information, support better decisions and, over time, initiate specific operational tasks while maintaining the governance and oversight required for mission-critical supply chain environments."

Hardis Supply Chain's AI strategy will progress through three stages:

• Access and Understand Information: The first stage brings natural-language access to product and operational information. Two AI agents will be available in Q1 2027: Solution Expert Agent enables users to interact with Hardis WMS documentation using natural language, while the Operation Insight Agent helps logistics teams analyze warehouse operations and identify opportunities for improvement.
• Analyze, Recommend, and Optimize Decisions: The next stage focuses on developing AI to operational data to identify patterns, make predictions, and recommend actions. Applications include resource and performance optimization and early detection of potential disruptions. For example, AI could flag an unusual carrier delay before it creates downstream impacts on fulfillment or customer commitments.
• Initiate and Automate Operational Actions: The third stage introduces agentic AI capable of initiating specific operational actions. Given the mission-critical nature of supply chain systems, these capabilities incorporate governance, security, traceability, and human supervision, allowing organizations to automate selected processes while maintaining operational control.

"We also see significant opportunities to use AI to enhance the services surrounding our solutions, from solution design and configuration to support and continuous process improvement," Poissonnier said. "Operational data and lessons learned can become valuable sources of intelligence for improving both the technology and the processes it supports."

Moving to Continuous Innovation for Hardis WMS

As supply chains become more complex and global, logistics organizations need technology that can adapt quickly to changing requirements. Hardis Supply Chain is therefore increasing its R&D investments and transitioning Hardis WMS to a continuous update model, enabling customers to access new enhancements and innovations more frequently.

"Logistics is evolving at an unprecedented pace, and our customers need technology that can evolve with it," Poissonnier said. "Our continuous update model will allow us to deliver innovations to customers more quickly while helping them maintain a modern technology foundation."

Extending WMS Beyond the Four Walls

Hardis Supply Chain is also expanding WMS from a system focused on warehouse activities into a broader orchestration platform connecting supply chain systems, stakeholders, and flows beyond the warehouse. The approach addresses operational blind spots between the warehouse and other parts of the supply chain, giving organizations greater visibility and control from inbound transportation through fulfillment and delivery.

Recent developments include synchronization of logistics and transportation activities through Yard Management and carrier Appointment Scheduling capabilities. Hardis Supply Chain is also developing a control tower-style portal with proactive alerts, predictive disruption detection, and collaborative dispute management.

Native integration between Hardis WMS and Hardis OMS is now available. This will simplify OMS implementations for organizations already using Hardis WMS while providing broader visibility into order and fulfillment flows.

"The warehouse cannot be managed effectively in isolation from the rest of the supply chain," Poissonnier said. "By connecting these processes, companies can gain unified control over their flows, improve end-to-end visibility, and anticipate disruptions before they affect operations or customer service."

Through these investments in AI, continuous innovation, and broader supply chain orchestration, Hardis Supply Chain is helping organizations move from managing individual logistics functions to coordinating connected, intelligent, and responsive supply chain operations.