Beyond Location: Telematics And The Connected Supply Chain

Nov 3, 2026 - 3 hours ago

Until recently, telematics was all about tracking vehicles on the road.

Inside the supply chain, forklifts, production machinery and storage containers usually went untracked, and any data that did exist sat in disparate systems. There is now greater scope for a far more comprehensive solution that is not restricted by type of asset, which has the potential to eliminate operational blind spots and deliver real performance benefits.

Enhancing The Supply Chain With Real-Time Data

Supply chains typically protect themselves from uncertainty using three expensive safeguards: added time, additional inventory and spare capacity. Tracking creates an opportunity to measure that uncertainty and decide which precautions are genuinely necessary.

The immediate use of real-time tracking is operational – respond to a delay, locate an asset or investigate an abnormal condition – but the deeper value appears when data is accumulated across thousands of journeys and asset cycles. This is where the real efficiency gains and performance benefits can be targeted. Businesses can examine the distribution of transit times rather than relying on averages; identify recurring dwell points; compare the reliability of routes and partners; and understand where equipment consistently becomes unproductive.

The added insight can influence much larger decisions. Asset pools can be resized or repositioned according to actual cycle times. Maintenance can reflect actual usage and operating conditions. Inventory policies can account for the reliability and condition of goods in transit, rather than treating everything between dispatch and receipt as equally uncertain.

However, businesses should not remove resilience simply because a platform appears to offer real-time visibility. If the underlying data is incomplete or unreliable, reducing inventory or capacity buffers can make the operation more fragile. The biggest opportunity is selective leanness: removing the slack created by poor information while preserving the capacity needed for genuine disruption. Ultimately, the most valuable consequence of tracking is not location. It is confidence about how tightly a supply chain can safely be run.

Improving Visibility

The warehouse has often proved difficult for a telematics marketplace used to deploying wired tracking units to high-value commercial vehicles. Cost has represented a major barrier for an environment that uses large volumes of equipment, often without a suitable power source. Battery capacity has traditionally failed to keep pace with telematics innovation, often creating a trade-off with functionality, while connectivity has proved unreliable in indoor conditions surrounded by thick concrete and metal racking.

Lower-cost tracking devices are making it more practical to monitor a much wider range of equipment, while better connectivity and longer-lasting batteries are enabling more advanced asset management. As a result, data can be brought together in a single system, regardless of whether it is from an HGV, forklift, container, trailer, roll cage or even an individual pallet. Together, these developments give logistics operations a complete view, from the production and warehouse floors to the customer's doorstep.

However, end-to-end visibility should not mean tracking every asset continuously. This is neither necessary nor economically viable. A more sensible definition is continuity of identity, state and custody. An HGV may be fully visible, yet its cargo remains invisible, because the system does not know which trailer is attached, what shipments are inside it or whether responsibility has passed to a warehouse or another carrier.

The next step is association rather than simply more tracking. A system needs to understand the changing relationships between vehicle, trailer, cargo, sensor and location. For example, proximity data can associate a cargo sensor with a particular trailer; the trailer tracker can provide its wider location; and a warehouse gateway can detect when that cargo enters the facility. The insight comes from combining those events into one continuing record.

This exposes a limitation that technology alone cannot solve. Supply chains span different operations, platforms and data-ownership boundaries. A device may capture the right information, but visibility still breaks if identities cannot be matched or the next party cannot receive vital information. Therefore, a system should be able to communicate a level of doubt. If an asset has stopped reporting, the platform should show its last reliable status, rather than presenting an old coordinate as current reality. Meaningful end-to-end visibility needs to answer five key questions: what is the asset, what is it currently associated with, what condition is it in, who is responsible for it, and what should happen next?

Removing The Technological Barriers

Several long-standing barriers are now falling away, making telematics a compelling option. The first is the trade-off between low power and responsiveness. Battery-operated trackers have traditionally had to choose between frequent communication and long operating life. However, newer power-management approaches are allowing devices to remain largely dormant while still being reachable within a useful window, making on-demand tracking more practical for unpowered and intermittently used assets.

Connectivity is also evolving, with devices able to draw on satellite, Wi-Fi and mobile IoT technologies to maintain continuity and deliver advanced features whether an asset is on the road, in the yard or deep inside a warehouse. Although satellite tracking has existed for some time, standards-based IoT-NTN is starting to make it part of the broader mobile ecosystem. Instead of treating remote coverage as a completely separate deployment, future devices can move more naturally between terrestrial and satellite communication.

Meanwhile, the boundary between location and context is rapidly blurring as AI features become standard in video telematics. The next area of innovation will not be around how many behaviours a camera claims to detect, but how accurately it can distinguish a genuine risk from the noise. In fact, advances in edge processing will allow a device to be trained to identify almost any type of event, so we will see cameras increasingly used across the supply chain for a range of safety, security, load handling and even proof of delivery applications.

Finally, trackers are increasingly acting as gateways for nearby BLE sensors and accessories. This creates a more economical way to add temperature, door, cargo or equipment data without giving every object its own wide-area connection. Again, edge processing, where custom rules are loaded onto the unit rather than the software platform, will allow a device to function faster, become more responsive and operate with greater intelligence, with or without cellular connectivity. Configurability will be key for supply chain operations looking to adapt the technology to precise needs.

The next generation of telematics will not depend on one increasingly powerful device. It will rely on a mix of tools, such as low-power trackers, sensors, cameras, satellite links, site routers and cloud platforms, working together. As these technologies converge, visibility is at last reaching beyond the warehouse door, and separate systems are merging into one integrated solution. However, the next benchmark for telematics will not simply be the number of assets shown on a map. It will be the proportion of operational exceptions that can be identified and resolved without someone manually chasing the information.