SONAR Adds Intermodal Rates to Help Shippers Find 20%+ Savings
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SONAR, a freight market intelligence platform, has integrated intermodal rates and truckload-to-intermodal conversion analysis into its Rate Intelligence tool. Users can now compare intermodal contract and spot rates directly against van pricing on the same lane, with automatic calculations of savings per load and total opportunity sizing. The feature launched in October 2026 and targets shippers, freight brokers, 3PLs, and carriers evaluating mode shifts.
On the Chicago-to-Elizabeth lane, for example, intermodal contract pricing runs 21.1% below van contract rates, representing approximately $593 in savings per load. This integration eliminates the need for separate data sources or manual spreadsheets when evaluating mode conversion decisions. The platform provides resolved lane details including suggested in-gate and out-gate ramps, rate and volume trends over 12 months, and confidence metrics based on the number of observations supporting each rate.
Supply chain professionals can now evaluate conversion potential directly within their existing workflow rather than gathering data from multiple sources.
Frequently Asked Questions
What This Means for Your Supply Chain
What if van spot rates drop 18% due to carrier overcapacity?
Simulate a softening truckload market where van spot rates decline 18% across major lanes due to temporary overcapacity or demand weakness. Recalculate conversion savings differentials and identify which lanes remain economically attractive for intermodal given the compressed margin versus truckload.
Run this scenarioWhat if intermodal drayage costs increase 15% on key conversion lanes?
Assume intermodal drayage fees (in-gate and out-gate truck movements) rise 15% across all major conversion lanes due to regional driver shortages or fuel surcharges. Recalculate the per-load savings differential versus truckload on Chicago-to-Elizabeth, West Coast port pairs, and South Texas corridors to determine if conversion economics remain favorable.
Run this scenarioWhat if rail transit times extend by 3-5 days on major corridors?
Model a scenario where rail network congestion causes intermodal transit to lengthen by 3 to 5 days on lanes like Chicago-to-Elizabeth, Los Angeles-to-Dallas, and Houston-to-Atlanta. Assess impact on customer service levels and inventory carrying costs, and determine which lanes maintain conversion viability despite longer cycle times.
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