Filter Settings
On load, the Trucking Freight Analytics view will be set with a 90-day ETA range, with comparison data from the previous 90-day period. All insight tiles will be filtered to this date range (based on Shipment ETA).
All financial data in this view is converted to the user's selected Default Currency. This currency selection can be modified in the Settings page. Please note that the Default Currency selector is only available if a user has invoices billed in multiple currencies.
Most analytics views can be customized using the filter and date range settings.
Depending on the view, the Filter button may allow users to filter data by organization(s), Origin and Destination ports, or other appropriate options.
The Calendar provides a means to scope data to a selected date range, as well as set a comparison period for 'period-over-period' analyses.
How to use this strategically
The 90-day default is a good starting point, but adjusting your date range and comparison period unlocks much more specific insights.
Narrow to 30 days to catch acute issues developing right now
Expand to 180 days to identify seasonal patterns in your trucking lanes
💡 If you're heading into peak season (holiday, produce season, etc.), set your comparison period to the same window last year- not just the previous 90 days. You'll get a much more accurate read on whether your capacity and delays are trending worse than they should be.
Summary Insights
Overall Trends
The Overall Trends card provides a summary view of shipment trends period-over-period, providing quick insights into the growth or decline of shipment volumes.
How to use this strategically
Use this as your directional signal. Trucking going up isn't automatically good — it matters how that volume is moving and at what cost.
Flat volume with rising delay → carrier or lane performance issue
Spike in volume → check if Lane Metrics shows new lanes emerging that haven't been optimized yet
💡 A sudden drop in shipment count doesn't always mean less freight — it can mean consolidation is happening, or that some shipments are being routed differently. Use the period-over-period comparison to distinguish a real trend from a one-time anomaly.
Shipment Summary
Top Modes by Shipment Count breaks down freight volumes by job type, providing a quick view into stats for the current period.
How to use this strategically
This gives you a fast snapshot of your current period's performance. Use it to quickly answer: "Is this period running normally compared to what I'd expect?"
💡 If your shipment count looks normal but your on-time performance feels off, the problem likely isn't volume — it's hiding in Lane Metrics under Avg. Delay Time. Use this summary as the prompt to go look there.
Shipments by Type
Shipments by Type - and the corresponding Period Comparison chart - show how freight volume may have shifted between modes over time. This can be particularly insightful when viewing the monthly or quarterly charting period.
How to use this strategically
Watch for mode shifts over time, particularly any migration between job types. A gradual shift you don't notice can quietly change your cost structure and capacity planning.
💡 If one shipment type is growing while another is shrinking, ask whether that's intentional. Sometimes a shift away from one type is a sign of carrier availability constraints or rate changes, not a strategic decision. The Period Comparison chart will show you if this is a new trend or a long-standing pattern.
Top Lanes
Top Lanes shows the top 20 city-to-city trucking lanes by total shipment count, broken down by job type, giving users a quick view into their common shipping lanes and potential areas of mode and/or distribution optimization.
Note: all data (including beyond the "Top 20" limit) can be downloaded by selecting "All possible results" in the download data modal:
How to use this strategically
Think of this chart as your prioritization map. Your highest-volume lanes are where small inefficiencies have the biggest financial impact.
Example: A 1-day delay improvement on a lane you run 80 times a year is a very different outcome than on a lane you run 5 times.
💡 Use this chart to decide where to focus in Lane Metrics below. A lane can look perfectly healthy by volume and still be a delay or cost problem when you drill in. High shipment count just tells you where the stakes are highest.
Lane Metrics
Lane Metrics provides a variety of lane-based metrics, giving a comprehensive view of a user's freight volume, potential risk, efficiency, and more.
The table contains the following insights:
Lane (City to City)
Shipment Type
Total Shipment Count
Avg. Transit Time (in days)
Avg. Delay Time (in days)
Total Weight (Pounds)
Total Distance (Miles)
Averages are calculated by:
Avg. Transit Time - AVG (Actual Last Delivery - Actual First Pickup)
Avg. Delay - AVG (Actual Last Delivery - Estimated Last Delivery)
How to use this strategically
Start by sorting on Total Shipment Count to find your busiest lanes. Those are the routes where inefficiency compounds the fastest. Then sort by Avg. Delay Time to surface your worst performers.
The most important analysis is the overlap: lanes that are both high volume and high delay are your biggest opportunities. A lane with even moderate average delay running dozens of shipments a month is silently disrupting your delivery commitments and downstream planning.
💡 Don't let a "small" average delay fool you.
A lane averaging just 1.5 days of delay across 60 shipments per quarter means your downstream operations are absorbing 90 lost days of buffer every quarter.
Once you've identified a problem lane, look at Total Distance alongside delay: longer lanes with high delay may signal a carrier capacity issue, while shorter lanes with high delay often point to pickup or handoff problems worth investigating with your carrier directly.