Intermodal's Customer-Experience Test: Measure Every Step That Makes Rail Hard to Buy

Intermodal does not lose every shipment because its rate is too high or its transit time is too long. It often loses because it is harder to buy. A shipper may wait for a quote, struggle to interpret a cutoff, coordinate a dray carrier separately, or chase multiple parties when a container stops moving. Each task adds uncertainty before rail's price or sustainability advantage can matter.
That problem deserves a measurable response. Instead of comparing rail and truckload only on rate and scheduled transit, shippers should calculate an intermodal friction score across the complete customer journeyβfrom quote request through proof of delivery.
Volume Alone Does Not Explain the Customer Experienceβ
The market signals are mixed. FreightWaves reported that Norfolk Southern's intermodal volume rose 13.7% year over year in a recent week. The railroad framed the next stage of intermodal growth around removing friction that prevents rail from winning highway freight.
At the same time, Logistics Management reported that U.S. railroads handled 271,305 intermodal containers and trailers in the week ending September 12, down 4.1% year over year. Carloads totaled 223,565, down 3.3%.
Neither number proves that intermodal is becoming easier or harder to use. They describe volume, not the work a shipper performs to obtain and manage service. That distinction is important: a railroad can gain freight on selected lanes while customers still encounter avoidable delays in quoting, drayage, terminal handoffs, tracking, or claims.
The industry is already testing a simpler proposition. A separate FreightWaves report described a door-to-door service from Norfolk Southern and CMA CGM designed to combine rail reach with truckload simplicity. Shippers should judge that promise with task-level evidence rather than marketing language.
Score the Six Moments That Shape the Purchaseβ
A useful friction score starts with six observable measures. Each can be scored from zero to five, where zero represents a seamless experience and five represents severe friction. Weight the measures according to the shipment's operational risk, then convert the result to a 100-point scale. A lower score is better.
1. Quote latencyβ
Measure the time from a complete request to a usable door-to-door price. Record median response time, the 90th percentile, and the share of quotes requiring manual follow-up. A low rate is not competitive if it arrives after the customer has tendered the load elsewhere.
2. Cutoff clarityβ
Track whether the quote clearly states the terminal cutoff, equipment requirements, last free day, estimated availability, and consequences of a missed appointment. Count how often operations staff must ask for clarification. Ambiguity transfers planning risk to the shipper.
3. Drayage coordinationβ
Measure the number of parties, emails, portals, and manual entries required to arrange origin and destination drayage. Include appointment acceptance, empty-equipment availability, chassis status, and failed pickup attempts. A door-to-door option should score materially better than a shipment assembled from disconnected legs.
4. Terminal dwellβ
Scheduled linehaul time hides delay at both ends. Capture arrival-to-ground, ground-to-outgate, destination availability-to-pickup, and total terminal dwell. Report the median and the 95th percentile. The tail matters because one multi-day delay can consume savings from many successful loads.
5. Status completenessβ
Define the milestones needed to manage the shipment: empty dispatch, loaded pickup, ingate, train departure, interchange, destination arrival, grounded, outgate, final delivery, and proof of delivery. Score both milestone coverage and timeliness. A status posted after the team has already called the terminal has little operational value.
6. Exception ownershipβ
When a load misses a connection or appointment, record the time until one named party accepts responsibility, provides the next action, and sets an update deadline. Multiple contact points without a clear owner should increase the score. Customers buy recovery as much as movement.
Put Friction Beside Rate and Transitβ
The score should not replace cost and service metrics. It should sit beside them. A lane comparison might show an intermodal option with a $350 saving, one additional scheduled day, and a friction score of 24, versus truckload with a score of 10. The shipper can then decide whether the saving compensates for the added work and variability.
Convert friction into money where possible. Multiply internal handling time by loaded labor cost. Add expected detention, storage, redelivery, and production-disruption costs based on historical frequency. The result is a risk-adjusted landed transportation cost rather than a linehaul comparison.
Segment the score by lane, provider, terminal pair, customer, and shipment type. A national average can conceal a strong corridor or a broken handoff. Review it monthly with operations and procurement, and require evidence before changing a component's rating.
Learn From the Quotes That Never Became Loadsβ
Booked shipments reveal only the experience customers accepted. The more valuable data may sit in abandoned quotes and failed conversions. Require a reason code when a quote does not convert: slow response, unclear cutoff, unavailable dray capacity, insufficient visibility, transit mismatch, price, or another cause.
Compare those reasons with timestamps and communication records. If price is blamed but losing quotes arrived eight hours later than winning quotes, latency may be the real barrier. If conversions drop at one terminal pair despite competitive pricing, dwell or appointment friction may be responsible.
Prioritize fixes by lost gross margin and frequency, not anecdote. Automating a high-volume quote step may create more value than negotiating a small rate reduction. Likewise, assigning one exception owner can improve confidence without changing the physical rail service.
Intermodal becomes truck-competitive when the entire purchase is predictable, not merely when the train is fast. CXTMS brings rates, milestones, drayage tasks, exceptions, and performance data into one operating view so teams can measure friction and act on it. Request a CXTMS demo to build a more transparent intermodal workflow.


