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The Data Gaps That Are Breaking LTL

New report from industry analyst Bart De Muynck reveals how incomplete accessorial and location data is driving up costs and damaging relationships.

In LTL shipping, the numbers rarely tell the full story. Missed delivery windows, invoice disputes, and friction between shippers, brokers, and carriers are happening more often—and too often, the real cause is hiding in the data.

In this new report, longtime logistics analyst Bart De Muynck takes a closer look at the issues that don’t always show up in dashboards. It’s a candid, data-backed look at where the cracks are forming in today’s LTL workflows and what it takes to fix them.

What You’ll Learn:

  • Why most billing disputes are rooted in missing or mismatched data

  • How location visibility and accessorial accuracy are shaping OTIF performance

  • What freight teams are doing now to move from reactive fixes to proactive planning

  • Where technology is closing the gap between load planning and final delivery

Why It Matters:
Data gaps create uncertainty. That uncertainty erodes trust. In a year marked by rate volatility, labor pressure, and tight margins, LTL teams can’t afford to keep guessing.

This report offers a clear path forward. Whether you’re managing freight, brokering loads, or trying to keep carrier relationships intact, this analysis will help you do it with fewer surprises.

Start closing the gaps in your LTL data.

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Identify Accessorials Early

Avoid discrepancies between your freight quotes and invoices by recognizing accessorial fees upfront.

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Combat Margin Erosion

Say goodbye to the hidden costs of unknown accessorials eating away at your profit margins.

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Streamline Your Deliveries

Know if they have a loading dock or forklift beforehand. Your driver and customer will be thankful too.


Access Accessorial Technology

99.5% Accuracy

Only one disputed accessorial notification per 1,000 returned, and a feedback loop to quickly fix the one.

100% Geospatial 

Our database is built on a geospatial framework taking into account far more than just name and address. 

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With billions of data points, our algorithms determine location attributes with unparalleled precision.