Supply chain volatility has quickly become an industry norm. Geopolitical instability, material shortages, climate-related events and mounting pressure on global transport networks are no longer isolated incidents — they are recurring challenges that are reshaping how manufacturers operate.
The Federal Reserve's Global Supply Chain Pressure Index has nearly tripled in a single month, reaching its highest level in four years. At the same time, delivery delays are at their most widespread since mid-2022, driven in part by the ongoing tensions around the Strait of Hormuz.
As a critical route for around a fifth of the world's oil and gas supplies, alongside other key agricultural and medical resources, disruption in the region demonstrates how quickly local events can ripple across interconnected global supply chains.
Manufacturers are no longer asking whether disruption will occur, but whether their operations can respond quickly enough to minimize its impact. This is where continuous supply chain intelligence can change the game.
It's time to move beyond reactive decision-making
Most organizations already have access to the data needed to anticipate risk and make more informed decisions. The challenge lies in turning that information into action. Rather than relying on reactive, case-by-case responses, manufacturers must embrace a continuous intelligence approach underpinned by robust data governance, real-time visibility and advanced technologies to detect emerging supply chain risks earlier and respond with greater speed and confidence. But what factors are standing in the way of this shift?
The hidden cost of data disconnects
Organizations are dealing with a data orchestration problem. A staggering 80% of U.S. manufacturing facilities have zero automation. Many still rely on old systems for day-to-day work, with information being stored across various ERP systems, transport platforms, supplier portals, spreadsheets and unstructured formats such as emails and PDFs.
Siloed data is often inconsistent and difficult to act on, which leaves organizations unable to build a coherent, real-time picture of their supply chain. This traditional model is too slow for today’s supply chain environment. By the time mitigation decisions are made, often with external consultant support, conditions have already changed! This episodic approach leaves organizations structurally vulnerable to disruptive supply changes.
When manufacturers spend around 10% of revenue on transportation, even a 10% increase in control can make a big difference to the bottom line.
So how can manufacturers update their supply chain operations to meet today’s real-time requirements?
1. Disruption is inevitable but missing the warning signs isn’t thanks to the AI advantage
The aim today is not to predict every disruption but for manufacturers to understand their available options at any given moment and act decisively when conditions change — this is where AI becomes a competitive advantage.
AI has the ability to extract and structure data, making it more coherent and useable, even when it has been created or managed in siloed ways. Yet manufacturers can go one step further by using AI-enabled supply chain modeling and simulation tools, which can use data, even where gaps remain, to build and test scenarios across the supply chain. This allows manufacturers to see which parts of the supply chain are more or less resilient, and how different scenarios are likely to play out.
2. Tap into the digital tools separating leaders from laggards
There’s some really cutting-edge advanced technologies supporting and enhancing the shift to ‘always-on’ supply chain intelligence. Digital twin technology allows organizations to visualize and simulate any product, plant or factory in its full context, in real-time. North America is expected to dominate the digital twin market with 41% of the share by 2035 and from a supply chain standpoint, you can see why! Digital twins allow manufacturers to test the impact of supplier changes, routing adjustments or inventory shifts in a controlled environment. Then there’s the renaissance of IoT, accelerated by advances in AI. The global manufacturing AIoT market is expected to reach a value of $211.7 million by 2030 as more organizations experiment with the technology’s ability to transform raw data from connected assets into actionable intelligence that improves machinery performance, processes and safety outcomes. For instance, sensors can continuously track the location and condition of goods in transit, providing real-time visibility. This enables timely intervention if a shipment is delayed or disrupted in the event of supply chain issues.
3. Don’t overlook the green dividend
When it comes to understanding the continuous supply chain intelligence payoff, research shows 95% of supply chain executives believe their CEO recognizes the supply chain’s impact on profitability. Yet this outlook overlooks the other benefits that continuous supply chain intelligence can bring to the U.S. manufacturing industry.
Not only does an ‘always-on’ approach improve operational resilience by enabling faster responses to disruption, it also supports sustainability goals by identifying more efficient and responsible supply chain choices.
4. Forget outsourcing, embed intelligence to empower the teams driving change
Manufacturers don’t need to outsource supply chain intelligence either. Rather than relying on third-party or consultant-led, periodic analysis, manufacturers can use AI-enabled supply chain intelligence tools internally on a regular basis to explore scenarios, test assumptions and better respond to change.
For example, manufacturers can embed AI-driven transport planning within their ERP operational systems in order to move away from manual, spreadsheet-based decision-making and towards intelligent optimization across trade lanes. Combined with zero-touch automation, this can minimize booking errors, lower operational costs and provide real-time shipment visibility. The integration of freight audit capabilities can also validate every invoice at the line-item level and highlight billing discrepancies and manage dispute workflows.
Stay one step ahead with an always-on approach
Disruption is no longer an exception — it is the operating environment. The winners will be those that replace periodic insight with continuous intelligence, enabling faster decisions, greater resilience and the ability to stay ahead of whatever comes next.
