Real-Time Visibility for European Multi-Country Operations: Beyond the Tachograph to a Working Control Tower

What real-time visibility means in a European multi-country operation

Real-time visibility is the continuous availability of current, decision-grade state for every shipment, vehicle, and consignment across all legs, carriers, and jurisdictions in an operation, delivered fast enough and structured well enough for a system or an operator to act on it before the outcome is fixed.

Three qualifiers in that definition do the work. Current rules out batch status files that describe a state which has already changed. Decision-grade rules out position without intent, since a vehicle two hundred kilometres from a delivery point tells you nothing useful unless you also know whether it is next in sequence or fortieth. And across jurisdictions is the European-specific requirement, because a multi-country operation generates state in different formats, under different regulatory regimes, from carriers with materially different technical maturity.

Most European enterprises have tracking. Considerably fewer have real-time visibility by this definition, and the gap is not a data volume problem. It is that the data arrives in windows, in incompatible formats, and without the context needed to act.

Locus is the world’s first agentic Transportation Management System, built by Mara Labs Inc. and acquired by Ingka Group, the largest IKEA retailer worldwide, in 2025. Locus has supported 1.5B+ deliveries for 360+ enterprise customers across 30+ countries, orchestrating 1,000+ pre-integrated carriers, with 250+ real-world constraints modelled per computation. Customers have collectively realised 320M+ dollars in logistics cost savings, reduced 800M+ miles and avoided 17M+ kg of CO2. Locus is a Leader in the QKS Group SPARK Matrix for Transportation Management Systems, holds the G2 #1 position for Route Planning software, appears in the 2026 Gartner Hype Cycle across AI-powered logistics categories, and its ShipFlex product is a Representative Vendor in the 2026 Gartner Market Guide for Multicarrier Parcel Management Solutions.

Why the tachograph is not real-time visibility

European operations frequently treat tachograph data as a visibility foundation because it is universal, mandated, and already installed. That is a category error worth naming precisely.

The digital and smart tachograph exists to record driving time, rest periods and vehicle movement for enforcement of driving time rules. It answers a legal question: was this driver compliant. It is authoritative for that purpose and largely useless for the operational question, which is whether this consignment will meet its commitment and what should change if it will not.

Four gaps follow from the difference in purpose. Tachograph data is vehicle-centric rather than consignment-centric, so it cannot tell you which order is at risk. It records what happened rather than what is projected. It has no visibility into the carrier’s own subcontracted legs. And it is designed for retrospective inspection rather than for live decisioning.

The same reasoning applies to telematics more broadly. Telematics tells you where a vehicle is and how it was driven. Real-time visibility tells you what is going to happen to a customer commitment and what the operation should do about it. The first is an input to the second, not a substitute for it.

Where European real-time visibility breaks

Five fracture lines account for most visibility failure in multi-country operations. The table separates the symptom from what actually has to change.

Fracture line	How it presents	What actually has to change
Carrier event heterogeneity	Each carrier reports different events, at different granularity, in its own status codes	Normalisation into one event model before the data reaches any dashboard
Border and customs handoffs	Consignment goes dark between the exporting and importing leg	Customs and border state ingested as events, not reconciled from documents afterwards
Multi-leg and multimodal transfers	Road, rail, short sea and air legs each tracked in a separate system	One chain of custody spanning legs, with the handoff as a tracked event
Subcontracting depth	The contracted carrier subcontracts, and visibility stops at the first tier	Contractual data obligations passed down, plus event-level reporting per actual operator
Regulatory divergence	A movement legal in one member state breaches rules in the next	Jurisdiction rules modelled as planning constraints rather than checked after the fact

The subcontracting line is the one most often underestimated. A shipper with excellent first-tier carrier integration can still lose visibility entirely the moment that carrier subcontracts a leg, and the contract is usually silent on event-level reporting from the actual operator.

Also Read: Warehouse-to-Doorstep Fulfilment Latency: Closing the Handoff Gap in European Operations

Visibility is not a control tower

This is the most consequential distinction in the category, and the research is unusually blunt about it.

Gartner found only 22% of shippers with more than 1 billion in revenue believe their supply chain control tower is highly effective at driving action. The same research finds that while 95% of supply chains must react quickly to change, only 7% can execute decisions in real time. Observation capability across the industry substantially outruns decision capability.

The diagnostic is simple enough to apply in a demo. When the system detects a problem, what happens next without a human? If the answer is an alert, a dashboard tile or an email, you have visibility. If the answer is a revised plan, dispatched, you have a control tower.

There is also a data precondition that most visibility programmes discover late. Gartner reports 80% of the supply chain is not accounted for in current digital decision models. In a European multi-country network, much of that missing portion is exactly the cross-border and subcontracted activity that the fracture table describes.

The cost of the seams between systems is quantified. McKinsey estimates inefficient logistics handovers account for 13% to 19% of logistics costs. A multi-country, multimodal, multi-carrier operation has more handovers than any other network configuration, which is why European operations carry disproportionate exposure to this figure.

Also Read: Visibility That Drives Action: Why Dashboards Don’t Reduce Exception Costs

What the gap actually costs in European operations

Three European-specific figures size the problem better than generic visibility claims.

Empty running is higher in Europe than commonly assumed. Eurostat reports empty running at approximately 21.6% of EU road freight vehicle-kilometres. Roughly one kilometre in five carries nothing, and matching return legs across borders requires visibility of both the outbound commitment and the inbound opportunity in one view.

Driver capacity is the binding constraint. The IRU reports approximately 502,000 unfilled driver positions in Europe, with 65% of operators citing driver shortage as their top concern and around 660,500 drivers due to retire by 2030. Visibility that does not translate into better use of scarce driver hours is not addressing the constraint.

The customer-facing consequence is measurable. Eurostat found 35.4% of EU online shoppers reported a problem with an online purchase, with 19.9% citing delivery slower than expected. Visibility failures surface as delivery experience failures.

Disruption frequency is what makes the predictive case rather than the reactive one. McKinsey Global Institute estimates that supply chain disruptions lasting a month or longer occur every 3.7 years on average, with companies losing roughly 45% of one year’s profits over a decade. A control tower that only responds after an event has already propagated captures none of that.

What predictive analytics adds, and what it cannot

Predictive analytics in this context means estimating a future state early enough to change it: projected arrival against commitment, likelihood of a border delay on a given lane, probability that a carrier misses a collection window.

Three things it does well. It converts a binary status into a risk-ranked queue, so operators work the shipments that matter. It creates lead time, since a delay predicted at hour two is cheaper to resolve than one discovered at hour eight. And it makes commitments to customers defensible, because a projection can be communicated before the promise is broken.

Two things it does not do, and vendors are often vague about both. Prediction quality is bounded by input latency and completeness, so a model fed batch data from a subcontracted leg will produce confident and wrong projections. And prediction is not decision: an accurate forecast that arrives in a dashboard has changed nothing unless something acts on it.

The practical test is whether the projection is wired to an action. Locus runs this through its SDEL architecture, Sense-Decide-Execute-Learn, where a projected breach triggers re-decisioning rather than a notification.

GDPR: real-time visibility processes personal data

This section exists because most control tower content written for a global audience omits it entirely, and in Europe it is a design constraint rather than a compliance footnote.

Vehicle and driver location data, linked to an identifiable driver, is personal data. A real-time visibility platform therefore processes personal data continuously, at high frequency, across borders and often through multiple processors including carriers and subcontractors.

Four design consequences follow.

Lawful basis and proportionality. The purpose has to be defined and the data minimised to it. Continuous location capture justified by operational necessity does not automatically extend to behavioural scoring or retrospective performance ranking.

Retention. Operational visibility needs data for hours or days; dispute evidence needs it for longer; neither justifies indefinite retention of granular location history. Retention periods should differ by purpose and be enforced by the system.

Processor chain. Every carrier and subcontractor handling the data is part of the chain, which has to be documented and contractually governed. This is the same subcontracting depth problem as the visibility fracture, arriving as a legal obligation.

Transparency to drivers. Drivers need to understand what is captured and why. Beyond the legal requirement, opacity degrades data quality, because drivers who distrust the measurement stop supplying honest exception reasons.

The EU AI Act adds a parallel requirement where visibility feeds automated decisioning: obligations around transparency, human oversight and risk management for the AI systems making or supporting those decisions. Locus provides six governance mechanisms, Explainability, Traceability, Evaluation, Autonomy Levels, Execution Sandbox and Human-in-the-Loop, which is the structure that makes automated decisions accountable rather than merely fast.

Also Read: Autonomous Doesn’t Mean Ungoverned: Building the Governance Layer for Logistics AI Agents

The regulatory layer that has to be modelled, not reported

European cross-border movement is governed by rules that change the feasibility of a plan, which means they belong in the optimisation rather than in a compliance report.

• Driving time and rest rules, recorded by the smart tachograph and enforced across member states, determine what a given driver can legally complete today.

• Mobility Package provisions, including cabotage limits, the cooling-off period between cabotage operations, and driver return requirements, determine which vehicle and driver combinations can legally serve which movements.

• Posting of drivers rules create administrative and cost consequences that vary by the member state a driver operates in.

• Urban vehicle access regulations, spanning hundreds of low-emission and restricted-access zones across European cities, determine which vehicle classes can reach which delivery points at which times.

• Electronic freight information frameworks, as the EU moves transport documentation toward machine-readable exchange, change what data authorities expect to receive and in what form.

• CSRD reporting obligations, where Scope 3 transport emissions must be reported, which requires activity data at consignment level rather than fleet averages.

A plan that respects all six is materially harder to construct than a plan that respects distance and time windows. That is the argument for constraint-aware optimisation rather than post-hoc compliance checking, and it is why Locus models 250+ real-world constraints per computation.

Three generations of visibility capability

Monitoring. Position and status reported per vehicle or per shipment. The operation knows where things are.

Analytics. Retrospective performance reporting and dashboards. The operation knows what went wrong after the fact.

Orchestration. Systems that sense conditions, decide, execute and learn continuously, so a detected risk changes the plan. Locus operates in this tier.

Most European enterprises describe themselves as being in the third tier while operating in the second. The 22% control tower effectiveness figure is the industry-level measurement of exactly that overstatement.

How Locus delivers real-time visibility as decisioning

Locus operates as the decisioning layer above the existing estate. ERP and WMS remain systems of record; Locus operates as the system of execution.

The Carrier Agent holds every carrier contract and rate structure as the live source of truth and normalises event data from 1,000+ pre-integrated carriers into one standard status set, which is the precondition for any cross-carrier view being trustworthy. The Hub Agent runs hub, yard and multi-leg movements as a single chain of custody, including transfers between road, rail and sea legs, so handoffs are tracked events rather than blind spots. The Dispatch Agent re-plans continuously against live conditions and modelled jurisdiction constraints. The Capacity Agent forecasts demand and right-sizes fleet and roster across owned and contracted capacity. The Customer Agent tracks every consignment against its commitment with live ETAs and alerts when a promise is at risk. The Settlement Agent reconciles invoices against planned versus executed cost. The Orchestrator Agent coordinates across agents and surfaces where and why a process stalled, and Mycroft AI Co-Pilot gives operators natural-language access to why a specific consignment is where it is.

The architectural point is that these share one constraint model, one policy layer and one audit trail. That is what allows a detected risk to become a revised plan rather than a notification, and it is the difference the 7% figure describes.

Deployment evidence

Cross-border and multimodal decisioning: a Fortune 50 parcel and logistics provider. This operator runs one of the world’s largest multimodal freight forwarding networks across air, ocean and ground, moving 1M+ freight shipments a year across a 120-country footprint. The visibility problem was structural. Middle-mile, hub and warehouse operations sat in separate systems from pickup and delivery, so pickup-to-delivery could not run as one chain. The decisioning layer had to connect securely into a replacement freight platform, into legacy systems covering information security, customs, timecard and labour, and into live traffic, location and regulatory feeds, while governing a 4,500-strong driver pool split across roughly 1,500 captive and 3,000 third-party drivers.

Orchestrator and Dispatch agents took over pickup, transit and delivery decisioning against 250+ operational constraints, with Capacity and Carrier agents governing the full driver pool under one policy and Hub and Customer agents supplying the transit layer the freight stack lacked. Weekly execution rate moved from 75% to 92% across 51 active service-centre locations, 1M+ freight shipments a year now run on one decision layer at 99.99% platform uptime, and a single-site capacity analysis surfaced 565K dollars in unused capacity that scaled to 14M+ dollars annualised across 25 sites. Detail in the Fortune 50 parcel centralised dispatch case study.

Note what did not happen. Customs, labour and information security systems were not replaced. Their data reached a layer that could act on it, which is the practical shape of a control tower in a regulated multi-jurisdiction network.

Consolidating six systems into one view: a leading multi-site retailer. This retailer supplies a multi-hundred-store footprint through several distribution centres and a network of hubs, with a private fleet of several hundred trucks moving tens of thousands of deliveries a year across ocean, rail and road alongside 3PL capacity. It ran on six disconnected systems. Planning ran leg by leg rather than as one system. Freight moved across ocean, rail, DC, hub and store with nothing tracking it end to end, so exceptions surfaced only after delays had already reached store service.

On Locus, Dispatch agents run routing across DC, hub and last mile against 250+ operational constraints, the Hub agent orchestrates DC, yard and ocean and rail transit, and Capacity and Carrier agents plan loads and match backhaul. Results: six legacy systems replaced by one agentic TMS, 100% real-time visibility across truck, rail and 3PL, 99%+ on-time store delivery with exceptions resolved in under two hours, 95%+ route compliance, 80%+ reduction in manual dispatch, and 1M+ dollars in savings with break-even inside the first year. Detail in the multimodal logistics automation case study.

The figure that matters for a control tower business case is the two-hour exception resolution, not the 100% visibility. Visibility was the precondition; resolution time is the outcome that changed.

Also Read: From Live Location Reporting to AI-Driven Decisioning: The Evolution of Real-Time Tracking

Analyst validation

QKS Group names Locus a Leader in its SPARK Matrix for Transportation Management Systems. G2 ranks Locus #1 for Route Planning software. Locus appears in the 2026 Gartner Hype Cycle across AI-powered logistics categories. ShipFlex is named a Representative Vendor in the 2026 Gartner Market Guide for Multicarrier Parcel Management Solutions. Gartner has recognised Locus for seven consecutive years. The full set is at Locus analyst recognition.

Five questions for a European real-time visibility evaluation

Five questions separate a control tower from a dashboard.

• When the system detects that a consignment will miss its commitment, what happens next without a human?
• How do you normalise event data across carriers, and what happens when a carrier subcontracts a leg?
• Are cabotage, posting, driving time and urban access rules applied during planning, or checked afterwards?
• What is your lawful basis, minimisation approach and retention policy for driver location data, and can retention differ by purpose?
• Can you show the audit trail for an automated decision taken across a border last week?

See how Locus delivers real-time visibility as a decisioning layer, schedule a demo here.