Mispriced Contracts and Network Plans Due to Poor Detention/Layover Data

Understanding Mispriced Contracts and Network Plans Due to Poor Detention/Layover Data in Truck Transportation

Wide variability in how detention and layover are calculated (flat vs hourly vs percentage; differing triggers and free‑time) combined with poor capture of actual dwell time leads to inaccurate forecasting of accessorial revenue and costs. Industry guidance stresses that a company’s detention rate is not random but should be based on how long shippers actually take to load; using generic norms instead of real data can misprice contracts.[2][3][4][8]

Unfair Gaps analysis identifies this as a systematic operational challenge requiring structured intervention rather than one-time fixes.

Root Cause: Systematic Process Gaps in Truck Transportation

The Unfair Gaps methodology identifies the root cause of mispriced contracts and network plans due to poor detention/layover data as absent or inadequate operational controls:

Lack of systematic tracking — Without structured data capture, organizations cannot identify where losses occur.

Manual processes — Reliance on manual workflows creates errors, delays, and incomplete information.

Reactive management — Addressing problems after they occur rather than preventing them through early warning systems.

Poor visibility — Decision-makers lack real-time data to identify patterns and intervene proactively.

Reducing Mispriced Contracts and Network Plans Due to Poor Detention/Layover Data: A Systematic Framework

Unfair Gaps analysis of best practices in Truck Transportation:

Step 1: Measurement — Establish baseline metrics for decision errors to quantify the current impact.

Step 2: Process Documentation — Map existing workflows to identify gaps, manual handoffs, and error-prone steps.

Step 3: Controls Implementation — Add systematic controls at high-risk process points.

Step 4: Monitoring — Implement ongoing tracking to detect recurrence and measure improvement.