What’s the missing ingredient in supply chain visibility?

For more than a decade, supply chain leaders have talked about visibility. Yet despite advances in transportation management systems (TMS), real-time tracking, and control towers, the challenge of having data is not the same as being able to act on it remains.

“Visibility without the ability to act and execute really isn’t that valuable,” explained Chad Raube, CEO of IntelliTrans, a provider of transportation management and supply chain visibility software for multimodal freight networks.

Tracking, Raube said, is just a data point at this point. Important, yes, but just one part of a larger picture. The answer to visibility in 2026 is the ability to synchronize data across systems, align planning and execution, and ensure that AI layers are built on trustworthy foundations.

The “single source of truth” problem

Many shippers today operate with five to 10 core systems such as TMS, WMS, carrier portals, rail systems, ocean platforms, or financial tools, he said.  Each contains its own version of the truth.

“What’s so interesting,” Raube said, “is hearing from shippers that … having a single source of truth is very difficult. A typical shipper might have five to 10 systems and the data might not be aligned so you don’t have the source of truth.”

The consequences show up when disruption hits. If systems don’t communicate or if timestamps conflict between platforms, teams lose critical time. “The TMS might say it’s due on Saturday and the WMS may say it’s on Sunday. And it creates a lot of confusion,” Raube said.

That delay in reconciliation can erase any opportunity to optimize cost or protect service. By the time planners sort through the discrepancies, “it might be a couple of days before they can actually find the right way forward.”

In volatile freight markets, two days is often the difference between resilience and escalation, he noted.

From buying systems to buying connections

Historically, shippers evaluated platforms based on feature depth. Increasingly, however, they are evaluating ecosystem connectivity. Raube said the switch has flipped in the last few years, with shippers now looking at “buying connections” rather than feature-rich systems as the prioritize interoperability.

Rail and truck provide a useful example of this. Raube explained that in many organizations, those modes operate in separate silos, sometimes even under different TMS providers. If a rail delay occurs, the ability to quickly evaluate truck alternatives depends on shared data structures.

“If your truck TMS isn’t connected to your rail TMS … by the time you figure out what your options are, it’s two days down the road,” he noted.

This is not simply a technical integration challenge. Ensuring data from different systems shares a common language is becoming a bottleneck for organizations. The standard bill of lading provides an example of this. The reality is that there is no standard bill of lading.

“No two documents are the same,” Raube said. “Even a bill of lading is different. Nobody can even agree on what a bill of lading should look like.”

Without harmonized identifiers and formats across documents and systems, even the best analytics tools struggle, he noted.

AI is not a substitute for data quality

According to one venture capital estimate, there could be 1.4 million artificial intelligence applications by 2030. But that quantity of solutions doesn’t necessarily translate to better data. AI can accelerate decision-making, but it also accelerates flaws.

“If the data’s not good, the AI on top of this is going to lead to bad decisions,” Raube said.  

Embedding AI directly into freight workflows without resolving the data inconsistencies risks making errors faster, not smarter, he added. “You cannot afford to be inaccurate,” Raube said. “While AI is very powerful, we need to make sure that whatever we apply maintains a 100% accuracy.”

Beyond dashboards: Acting on visibility

Another theme emerging across shippers is the need to move beyond dashboards. For years, supply chain visibility tools focused on tracking and reporting. Today, leaders want orchestration.

That requires more than visualization, Raube said, noting that it requires real-time API connectivity, harmonized identifiers across systems, embedded analytics that surface exceptions immediately, and clear workflows that define who acts and how.

Without those components, visibility remains descriptive rather than prescriptive.

The path forward: alignment before intelligence

Raube said that alignment needs to be a priority for everyone. Shippers, for instance, need shared data across modes, trusted identifiers, an API-driven ecosystem that prioritizes connectivity, and governance frameworks that ensure AI outputs are auditable. Without some of these basics in place, the ability to fully take advantage of AI will be muted.

While visibility has been a constant theme for years, the belief that AI alone will provide it is misguided. Raube said that synchronization across modes, data platforms, and partners will be what ultimately delivers the visibility, the accuracy and the resilience the supply chain is looking for.

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