Filter Settings
On load, the International Freight Analytics view will be set with a 180-day ETA range, with comparison data from the previous 180-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 real value comes from combining filters with purpose:
Filter by Origin/Destination to isolate a specific trade lane you're concerned about
Use period-over-period comparison to see if delays or volumes are getting worse — not just where they stand today
💡 If you're troubleshooting a problem lane, set your comparison period to before a known disruption (e.g., a port congestion event) to quantify the actual impact on your supply chain.
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 (and associated carbon emissions, if applicable).
How to use this strategically
Use this as your starting point. A declining shipment volume isn't always bad, and a growing one isn't always good.
Rising volume with rising carbon signals a consolidation opportunity
Flat volume with rising cost signals a rate or mode issue worth digging into
💡 If total shipments are growing but cost per unit is also growing, you may be shipping more frequently in smaller batches. That's one of the fastest ways logistics costs quietly spiral.
Top Modes by Shipment Count
The Top Modes by Shipment Count breaks down freight volumes by most common mode, providing quick insights into whether goods are moving by air, land, or sea.
How to use this strategically
This chart tells you where your freight is concentrated. Use it to prioritize which lanes deserve the most analytical attention in Trade Lane Metrics below.
💡 High shipment count on a route doesn't mean it's running efficiently. A lane in your top 5 by volume could also be your worst performer on delay time and you'd never know just from this chart.
Shipments by Mode
Shipments by Mode - 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.
Total Shipped and Total Cost per Freight Unit
The Freight Unit analytics provide insights into how amounts and costs of applicable chargeable units (TEU for Ocean FCL, Cubic Meter for Ocean LCL, and Kilogram for Air) have changed over time, helping to identify patterns and trends in modality and identify areas for optimization.
Average Cost per Freight Unit is estimated based on total invoiced amount for a shipment, and should be considered directional and strictly for trending. It is calculated by dividing the Total Invoiced Amount by the Chargeable Freight Unit Amount per shipment, and then averaging that across all relevant Shipments in the selected time period.
Metrics By Mode
For a comprehensive view of freight, this view provides insight tiles covering:
Volume by Mode Over Time, both in cubic meters (CBM, m³) and TEU for Ocean FCL freight.
Weight by Mode Over Time, in kilograms.
Total Cost by Mode Over Time, converted to the user's selected Default Currency.
(Optional) Carbon Intensity Over Time, in gCO2/(t*km)
Top Trade Lanes
Top Trade Lanes shows the top 20 routes (as defined by the Shipment origin and destination ports) by total shipment count, broken down by mode, giving users a quick view into their common shipping lanes and potential areas of mode optimization.
Note: all data (including beyond the "Top 20" limit) can be downloaded by selecting "All possible results" in the download data modal:
💡This shows you which lanes drive the most activity, which you can use to negotiate better contracts with high-volume lanes.
Trade Lane Metrics
Trade 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:
Route (Shipment Origin to Destination)
Transport Mode
Container Mode
Total Shipment Count
Avg. Transit Time (in days)
Avg. Delay Time (in days)
Total TEU (Ocean FCL and domestic dray only)
Gross Weight (Kilograms)
Total Volume (Cubic Meters)
(Optional) Total CO2e (Tons)
Averages are calculated by:
Avg. Transit Time - AVG (POD ATA - POL ATD)
Avg. Delay - AVG (POD ATA - Original POD ETA)
How to use this strategically
Sort by Total Shipments first to identify your highest-volume lane
Those are the routes where inefficiency costs you the most.
Then sort by Avg. Delay Time to see which lanes have the worst performance.
The real insight comes from cross-referencing both: a lane with moderate delay but massive volume can be more damaging to your supply chain than a high-delay lane you only use a few times a year.
💡 Don't dismiss a lane just because the average delay looks small.
A route with 9.5 days of average delay across 55 shipments represents a significant cumulative impact on your inventory planning, customer commitments, and carrying costs. Once you've identified a problem lane, take it to Carrier Performance to find your best options on that route.
Carrier Performance
Carrier Performance provides many of the same insights as Trade Lane Metrics, but broken down by freight carrier to help drive downstream business decisions related to carrier selection for a given route.
How to use this strategically
Filter this table by a specific route (identified in Trade Lane Metrics above) to compare how different carriers perform on the same lane. Sort by Avg. Delay Time to rank carriers from fastest to slowest. After that, cross-reference with the % of shipments each carrier is handling for you.
The goal isn't always to switch to the fastest carrier. It's to make an informed tradeoff between speed, cost, and volume.
💡 Watch out for this pattern: your slowest carrier is often moving the largest share of your shipments, simply because they were the default choice. A mid-tier carrier with significantly better on-time performance and similar pricing could be your best optimization lever — no contract renegotiation required, just a reallocation of volume.