"A Battery Alert and Autonomous Trucks Both Fail Without the Prior Step"
Holiday containers are arriving, fleets are receiving predictive alerts, and autonomous trucks are being prepared for working sites. In each case the limiting factor is the same: the system can only execute what the surrounding process has already made usable. Incomplete paperwork at the dock, an unprioritized battery alert, or a contaminated LiDAR unit all produce the same outcome - the asset or the inventory sits while the operator waits for the missing step.
Nazarii Horoshchuk, digital marketing lead at FLEX. Group, said in written comments to The Supply Chainer that the pressure for European warehouses serving non-EU brands is still at receiving. “Containers don’t arrive evenly. Vessels bunch up, and several boxes for different clients land in the same week. A floor-loaded 40-footer with mixed SKUs and an incomplete packing list can take a full shift to unload, count and check. Until that’s done, nothing is sellable.” With five weeks left before peak, the practical changes are limited: no container without a SKU-level packing list before the vessel arrives, FNSKU labels applied at origin so cartons can be cross-docked the same day, additional shifts with the existing trained team rather than new hires, and a freeze on new integrations or SKUs until mid-December. The earliest warning is dock-to-stock time. “What matters is not how many containers are waiting but how old the oldest unreceived one is. If that number creeps up in October, the stock will miss the Amazon window in November, however fast you pick.”
Cagatay Topcu, vice president of connected services at Clarios, said the same gap appears when a fleet receives a battery-health alert. “Our battery health alerts are not just predictive; they are also prescriptive. Prescriptive insights tell fleets what action they should take, in addition to telling them what may happen. For example, as part of our Battery Manager solution, we can identify when an alternator is undersized and should be replaced to help ensure efficient vehicle operation, extend battery life and reduce the risk of a downtime event. Once the alert is triggered, the replacement can then be incorporated into scheduled maintenance before the issue causes a no-start event or operational disruption.” Before a pilot, the fleet needs a baseline of battery replacement frequency, jump-starts, no-start events, manual tests, starter and alternator incidents, labor and downtime. Only then can the operator distinguish avoided breakdowns from unnecessary replacements.
Oliver Ramoli, business development and manager key accounts EMEIA at Seyond, described the equivalent constraint for autonomous trucks. “The real challenge in autonomous trucking isn’t detecting obstacles under ideal conditions. It’s making sure the vehicle can still reliably understand its surroundings when visibility drops, conditions change or something unexpected happens.” Operators must test the full perception system in the actual environment, including adverse weather, changing light, blind spots and interactions with people and other vehicles, and must pay particular attention to stationary or low-profile obstacles. LiDAR supplies the 3D data that complements cameras and radar, yet the system still needs to recognize when its own perception is no longer reliable enough to continue. Cleaning and inspection cannot be fixed intervals. “A truck operating in a dusty quarry, for example, will face very different conditions from one working in a relatively clean logistics yard.” Sensor diagnostics and continuous monitoring of perception quality are required so that contamination is detected before it becomes an unplanned stop.
In each case the technology or the volume is already present. What is missing is the prior step that makes the next action reliable: complete packing data before the container is released, a measured baseline before the alert is trusted, and a maintained sensor before the truck is allowed to move. The operators that keep the holiday inventory available, the fleet on the road and the autonomous unit inside its operating limits are the ones that close that gap before the peak, the alert or the deployment arrives.
