The freight industry has made significant progress in the last decade.

Shipments can now be tracked across continents in near real time and documentation is increasingly digital. Workflows that once relied on fragmented emails and manual updates are becoming more structured.

But visibility is not the same as control.

Because freight does not operate in a purely digital environment. It moves through ports, customs offices, and regional systems shaped by local conditions and human interpretation.

And that is where local knowledge continues to matter.

Digital Progress Has Not Eliminated Friction

According to the World Bank’s Logistics Performance Index 2023, improvements in tracking and digital infrastructure have increased supply chain visibility, but performance gaps remain, particularly in customs clearance and border management.

The report notes that delays are often linked not to a lack of information, but to how processes are implemented locally.

UNCTAD’s Review of Maritime Transport 2023 reinforces this. Despite advances in digitalisation across shipping, the report highlights that port congestion, administrative inefficiencies, and local operational constraints continue to disrupt global trade flows.

These are not edge cases. They are part of the day-to-day reality of moving freight.

The Gap Between Data and Context

Most global systems rely on structured data. Milestones, timestamps, document status, and predefined workflows.

But many of the factors that influence outcomes sit outside of that structure.

The OECD’s work on trade facilitation shows that variation in how customs procedures are applied across countries remains one of the largest sources of delay in cross-border trade. Even where regulations are standardised, local interpretation and execution can differ significantly.

In practice, this means that two shipments following the same documented process can experience very different outcomes depending on where they pass through.

A system may show that a document has been submitted, but it can’t show how that document will be interpreted.

Local Knowledge as a Critical Layer

It’s exactly here where local knowledge operates and shines.

Not as a workaround, but as a necessary layer between system data and real-world execution.

It allows teams to anticipate delays, adjust processes, and respond to conditions that are not captured in standard workflows.

McKinsey’s research on supply chain resilience during global disruptions found that companies with stronger local decision-making capabilities were better able to adapt to changing conditions and maintain operational flow (Risk, resilience, and rebalancing in global value chains, 2020).

That adaptability is difficult to centralise because it depends on proximity to the problem.

A Question of How Expertise Is Used

The challenge is not whether local knowledge is valuable, rather it’s how it is being applied.

In many freight operations, experienced teams are still heavily involved in repetitive tasks. Chasing updates, re-entering data, and managing communication between disconnected systems.

This limits their ability to apply judgement where it matters most. The role of modern platforms should be to remove that burden.

Automation and structured workflows should handle predictable, repeatable processes. Not to replace expertise, but to free it.

So that local knowledge can be applied at the points where context changes outcomes.

Freight is often described as a global system. In reality, it is a network of local systems, each operating with its own constraints, practices, and interpretations.

Technology has improved visibility across that network, but visibility alone does not move shipments.

Context does, and for now, context remains local.