Manifest | Nicolas Odet, Hardis Group, on AI-Driven Supply Chain Optimisation
•February 19, 2026
0
Why It Matters
By marrying real‑world process insight with AI, Hardis shows how manufacturers can cut waste and accelerate delivery, setting a pragmatic benchmark for digital transformation in logistics.
Key Takeaways
- •AI fails without deep process knowledge.
- •Operational intimacy drives effective implementation.
- •Unified WMS/TMS provides end‑to‑end visibility.
- •Ecosystem connectivity fuels actionable AI insights.
- •Automation, data, AI together boost supply chain performance.
Pulse Analysis
The supply‑chain sector has been awash with AI hype, yet many initiatives stumble because they overlook the nuances of daily operations. Hardis Group’s approach flips the script by insisting on operational intimacy: a granular understanding of warehouse layouts, factory workflows, and in‑store processes before any algorithm is deployed. This methodology reduces the classic gap between promise and delivery, ensuring that AI models are trained on relevant, high‑quality data and that the resulting recommendations are both practical and measurable.
Visibility is the linchpin of Hardis’ value proposition. By integrating Warehouse Management Systems (WMS), Transportation Management Systems (TMS) and ancillary platforms into a single, unified dashboard, the company creates a real‑time, end‑to‑end view of inventory, shipments and claims. This ecosystem connectivity not only eliminates data silos but also provides the rich, comprehensive datasets AI needs to generate actionable insights. Customers gain instant transparency, enabling faster decision‑making and tighter control over logistics costs.
Looking ahead, the convergence of automation, data, and AI will define the next wave of supply‑chain excellence. Hardis envisions a future where sensors on equipment feed live data into AI engines that continuously optimize routing, labor allocation and stock levels. Such closed‑loop systems promise measurable gains—shorter lead times, reduced waste, and higher service levels—while delivering a clear competitive edge for firms that adopt them. Companies that prioritize process understanding and system integration now will be best positioned to reap these benefits as the technology matures.
Original Description
"If you don’t understand the process very well, it’s not so valuable to activate AI."
BizClik attended Manifest 2026 to speak with Nicholas Odet, President of Hardis Group, about the realities of AI-driven supply chain transformation and why operational intimacy is the true competitive advantage.
With 25 years at Hardis Group, Nicholas brings deep, field-level expertise in warehouse, factory and in-store operations. As the company expands its supply chain software solutions globally — particularly into the US — his perspective cuts through the noise of AI hype to focus on what truly delivers value: data, process understanding, and ecosystem connectivity.
In this conversation, Nicholas explains how Hardis Group’s core supply chain solutions are built from the ground up with direct operational insight. Rather than offering abstract AI promises, the company focuses on optimising real-world flows inside warehouses and factories using configurable software and algorithms tailored to each customer’s processes. The key difference? Implementation. Hardis prioritises deep collaboration with customers to fully understand their operational challenges before configuring solutions.
He also discusses the company’s visibility platform, which connects WMS, TMS, and other systems across the supply chain ecosystem. By unifying inventory management, tracking, and claims processes, organisations gain end-to-end transparency. But Nicholas makes it clear: AI only creates value when powered by comprehensive data across connected systems.
Finally, he highlights the crucial link between automation and AI. The future of supply chain performance lies in connecting the physical world — warehouses, machinery, logistics flows — with intelligent data systems. When automation, ecosystem connectivity, and AI work together, businesses can move beyond promises and deliver measurable operational gains.
Key Takeaways:
AI without deep process understanding creates a gap between promise and delivery.
True optimisation starts with operational intimacy and configurable implementation.
End-to-end visibility requires connecting WMS, TMS, stakeholders, and unified inventory data.
Ecosystem connectivity is the foundation for actionable AI insights.
The future of supply chain performance lies at the intersection of automation, data, and AI.
Hashtags:
#SupplyChain, #AI, #SupplyChainManagement, #WarehouseManagement, #LogisticsTech, #DigitalTransformation, #HardisGroup, #Manifest2026, #Automation, #OperationalExcellence
Follow the Supply Chain Digital stories further:
Twitter: https://twitter.com/SupplyChainD
Newsletter: https://mailchi.mp/supplychaindigital.com/signup
0
Comments
Want to join the conversation?
Loading comments...