About TradeLanes

We built this because we understood the problem.

Most visibility tools show you that something changed. TradeLanes was built to tell you what it means for your operation, and what to do about it.

Export execution breaks at a specific moment.

The Pattern

The vessel schedule changes. The cargo receiving window compresses. And the team finds out after the decision was already made.

This is not a data problem. The data exists, on carrier sites, terminal sites, vessel schedule PDFs, in carrier portals. The problem is that the data arrives in the wrong form, from conflicting sources, at the wrong time. By the time a team reconciles it, the planning window has already closed.

TradeLanes was built to close that gap. To detect changes the moment they occur, validate them against the right source, and surface them in a form that enables decisions before the window is gone.

What makes TradeLanes different

Three choices that shaped the product. Each one was a deliberate departure from how visibility tools usually work.

Difference 01

We measure the behavior, not just the event

Any tool can show that an ERD changed. TradeLanes tracks how that terminal behaves on that service over time, so the signal is contextual, not just a raw update.

Difference 02

We validate before we alert

Most alerting tools fire on every change. TradeLanes evaluates whether the change compresses a real decision window before surfacing it. Operators get fewer alerts. Each one matters.

Difference 03

We publish what we find

The Terminal Volatility Index, the Decision Timing Brief, and Vessel Schedule Stability Index are not marketing materials. They are the measurement infrastructure we built to formalize a problem the industry has historically absorbed informally.

The people we work with

Three working customer profiles. Each one describes how the relationship actually operates, not what a testimonial sounds like.

A major agricultural exporter

Export operations teams using vessel schedule behavior as a planning input.

Rather than reacting to changes after the fact, teams align planning to receiving window behavior and coordinate execution around schedule instability as an input signal.

A major drayage provider

Drayage operations converted from an insight preview to production.

The switch happened after terminal volatility data was applied to their specific routes. The decision was driven by route-level evidence, not a pitch.

Agricultural trade association members

Exporters using TradeLanes data in policy and sourcing conversations.

Members use TradeLanes data to frame carrier performance discussions and sourcing decisions, grounded in measurement that survives cross-examination.

How we think about this market

There is no pre-existing budget line called "Cargo Receiving Window Stability Software." We are formalizing a structural problem the industry has historically absorbed informally. Once instability is quantified and visualized, it stops being operational noise and becomes an operational control problem. Operational control problems create budget.

If this problem is real for your operation, we should talk.

We work best with teams that already know they have this problem and are evaluating how to solve it.

Talk to the Team