Connecting supply chain execution through a single source of truth

You’re trying to finish a 1,000-piece puzzle, but half the pieces are in another room; and you’re not even sure they belong to the same set. That’s what supply chain execution feels like when AI is running on fragmented systems. 

Disjointed data slows down decisions, adds errors and forces teams to spend time fixing problems instead of preventing them. 

Yet the potential of AI is clear: predicting disruptions before they happen, orchestrating orders and inventory in real time and freeing teams from hours of manual work.

But AI can only be as good as the data it runs on.

The promise of AI: Intelligent supply chain execution

Generative and agentic AI are moving beyond theory into tangible impact, offering the ability to transform how execution teams respond to complexity and volatility. By combining predictive insights with autonomous action, AI can reshape operational agility in ways that were once out of reach:

• Detecting and resolving disruptions before they hit the customer : Working across the execution chain, AI can monitor live order flows, carrier status updates and warehouse operations to detect breakdowns the moment they occur — and trigger automated recovery actions.
• Dynamically orchestrating orders across OMS, WMS and TMS : Agentic AI can act as a real-time conductor, ensuring that order management, warehouse and transportation systems work in sync — even when plans change at the last minute.
• Optimizing inventory and transportation in real time: Instead of static plans, AI can respond to shifting demand signals and network constraints to continuously adjust inventory allocation and the resulting transportation routes.
• Freeing teams from repetitive tasks to focus on higher-value decisions: By automating data gathering, exception handling and status updates, AI allows planners and managers to spend more time on strategic problem-solving and improving supply chain performance.

The reality: data silos choke AI performance

Most supply chains still rely on disconnected execution systems across order, warehouse and transportation management; each with its own version of the (data-driven) truth. The impact is tangible:

• Data duplication & errors – A retailer might hold different product availability data in its e-commerce platform and its warehouse system. Online, a product shows “in stock,” but the warehouse is out, causing failed orders, frustrated customers and costly reverse logistics.
• Workflow friction – A planner managing a seasonal promotion may spend hours flipping between OMS to see orders, WMS to check inventory and TMS to confirm carrier availability — slowing down what should be a quick decision about reallocating stock.
• Blind spots – When WMS inventory levels for trending products run low, but that data never reaches the TMS, carriers aren’t informed to adjust pickups. The result? Idle trucks, wasted capacity and missed delivery commitments.

Without complete, timely and consistent data, even the most advanced AI models are forced to make guesses; and in supply chain execution, guesses mean missed opportunities and SLAs. 

Why a single source of truth matters

Unifying data into a single, trusted view removes the guesswork and creates the foundation for smarter, faster execution. It means:

• Consistency – Every team, from planning to fulfillment, operates from the same, accurate dataset, eliminating confusion and misaligned actions.

• Timeliness – AI works with live, up-to-the-minute information, enabling immediate responses instead of relying on outdated or stale reports.

• Accuracy – Decisions are based on verified facts rather than conflicting or incomplete inputs from disconnected systems.

• Confidence – Teams are more likely to act on AI-driven recommendations when they know that the underlying data is reliable and traceable.

From disjointed data to connected systems

Disconnected data is more than a systems problem that slows decisions, increases costs and erodes the customer experience. It also silos systems and prevents businesses from fully leveraging AI’s potential. 

In supply chain execution, where speed and precision define market leaders, the ability to act on complete, connected data is now the norm.

How Infios supports intelligent supply chain execution 

By unifying data and applying consistent standards, businesses also lay the foundation for the next step which is embedding real-time orchestration to drive supply chain execution that is efficient, adaptive and ready for the disruptions our customers face. 

With Infios, you can:

• Eliminate costly data duplication and blind spots
• Integrate OMS, WMS, and TMS into a connected execution layer
• Add AI-powered orchestration that turns data into action.