Multimodal Asset Tracking: How to Solve the Optimodal Challenge in Freight

Every shipper we talk to in 2026 has done the same exercise. They’ve looked at a long-haul European lane, modelled a road-plus-rail or a port-plus-barge alternative, and come out with a credible business case on cost, CO2 and congestion. Then the flow stays on the truck. 

This is the optimodal challenge and it’s not a sustainability story or a regulation story. It’s an operational visibility story. Below, we unpack the trends that are forcing the conversation, the operational reasons adoption stalls, and the four-pillar tracking approach Sensolus has built specifically for the environments traditional trackers can’t reach. 

Voka and Multimodaal Vlaanderen have led a useful linguistic move: away from forced “modal shift” and toward optimodal, choosing the most suitable mode for each flow on cost, reliability, CO2 and congestion. The intent is broadly there. The execution isn’t. 

A few hard numbers shippers can’t ignore: 

• Freight tonnage in Europe is forecast to grow +20% by 2040. The road network alone cannot absorb it. 

• Yet the EU-27 modal split has moved the wrong way. Road grew from 47% (1995) to 53.8% (2022). Rail fell from 15.6% to 11.9%. Inland waterways from 5.1% to 3.5%. 

• Pressure is stacking from every direction at once: CSRD Scope-3 reporting, ETS2 on road fuels from 2027, an ageing rail network, the driver shortage, congestion on every corridor, demurrage clocks at every port, and customers in tender after tender asking for CO2 per shipment, not a corporate policy statement. 

Companies want to go optimodal. Adoption stalls on operational fears. Not on intent.

Mode selection in multimodal freight comes down to a small set of operational and monetary factors. 

The operational factors that decide whether a shipper trusts a multi-leg flow are reliability, flexibility, transit time, frequency, emissions and risk of loss & damage. 

The monetary factors that hit hardest when something goes wrong on a leg you cannot see are transport price, demurrage & free time, customs costs (now amplified by UCC and ICS2 obligations) and the commission paid for road carriage. 

The uncontrolled factors are the ones shippers do not own at all: access to infrastructure, port choice, fleet and infrastructure availability. 

Notice the pattern. Reliability, flexibility and risk of loss & damage are all, at root, track-and-trace questions. The capability is undervalued in surveys precisely because most shippers have never seen it work properly across an optimodal chain. 

Which brings us to why. 

A typical optimodal flow touches 4–6 different actors. Shipper, road carrier, terminal, rail or barge operator, shipping line, consignee,… Each with their own systems (or none). And 30–70% of transit time is a black box: rail wagons sitting in a marshalling yard, containers waiting at the quay, swap bodies parked at a hub. 

The reason that black box exists is environmental, not technological: 

• The infrastructure isn’t yours. Yards, ports, sidings and vessel holds have no Wi-Fi, no gateways, no Bluetooth readers. Classic yard or fleet trackers stop working at the gate. 

• Modal handover points concentrate the risk. Damage, theft, demurrage and missed connections happen disproportionately exactly where data is weakest. 

• Trucks are tracked, carriers aren’t. Your road TMS shows the truck. The moment the container moves to rail or barge, the visibility evaporates. 

• Every modal handover is a liability handover and each leg runs under a different legal regime (CMR for road, COTIF for rail, Hague-Visby for sea, CMNI for inland waterways). When damage shows up at the consignee, the carrier with the best paperwork wins the dispute. 

Without independent, asset-level data, shippers can’t prove what happened, where, or who’s accountable. That fear keeps the flow on the truck — even when the optimodal business case is solid on paper.

This is the operational problem Sensolus was designed for from day one. Instead of trying to put visibility into the infrastructure, we put it on the asset itself. A single autonomous tracker that travels with the trailer, container, swap body, ULD or returnable packaging across every leg. Four pillars make it work at fleet scale. 

1. Visibility in environments youdon’town. One Sensolus tracker reports across road, rail, barge, shortsea and yard. No gateways to install. No integration to negotiate with the rail operator, the terminal or the shipping line. One data stream, end-to-end, owned by the shipper, independent of every partner system. That’s the design point, not a side effect. 
2. Economics that finally let you scale.Premium solar or Zebra-class trackers cost thousands per asset and only ever made the business case on the most expensive lanes. ASensolus device costs less, with adaptive ping rates per mode — every 6h on rail, every 15 minutes on truck, every 5 minutes near delivery. Battery life jumps from a few months to up to 5 years. That’s the difference between a single-shipment experiment and a fleet-wide rollout of thousands of devices. 
3. Evidence that closes the liability gap.Every shock event is logged with location, time,severity and orientation. Automatically, on every leg. In one recent customer case, 529 shock events were analysed; 111 were critical; 80% of the critical events were concentrated at one single yard. Time-stamped, geolocated shock and dwell data become attachable evidence under CMR, COTIF, Hague-Visby and CMNI, turning “his word against mine” into faster claims, higher recovery, and a different insurance conversation at renewal. 
4. Control through external disruption.Customs tightening (UCC, ICS2, Brexit GVMS), port and rail strikes, Red Sea diversions, Rhine lowwater, these all hit multimodal disproportionately. Continuous, mode-aware location feeds and exception alerts mean that when a French port closes for 48 hours, you see every asset behind the choke point in minutes: count, location, dwell time. Customs hotspots get quantified per port, per lane, per partner. Demurrage and detention finally have a number to attack. 

If you’ve modelled an optimodal alternative and parked it because the operations team flagged “we won’t be able to see it”, that objection is now solvable, and at fleet economics rather than premium-lane economics. 

Three things worth doing this quarter: 

• Audit your top three multi-leg flows for one number: how many of your handovers do you have independent, asset-level data on today? If the answer is zero or one, you have the same blocker as everyone else. 

• Quantify the loss-and-friction tax. Add up the demurrage, the disputed claims, the inflated insurance premium, the customer credits paid out on missed SLAs. That number is usually the real funder of an asset-tracking rollout. Not the freight savings. 

• Talk to us. We’ll model the impact on one of your lanes using your own data. Including the visibility profile a fleet of trackers would produce across every handover. 

The optimodal moment isn’t blocked by intent, regulation or economics. It’s blocked by control. And control is a visibility problem before it’s anything else.