Fleet tracking is a spectrum, not a product. At one end, RFID tells you which zone a truck is in. At the other, ultra-wideband RTLS tells you which rack it is at, to the centimeter. The technologies in between, GPS, Wi-Fi, and Bluetooth, fill the precision and cost bands between the two. Choosing the wrong point on the spectrum is the most common fleet tracking mistake, because the buyer either pays for precision they cannot use or buys zone-level data when they need aisle-level. This post maps the spectrum so the choice matches the question.
The levels of precision
The spectrum sorts into four levels. Zone-level: the truck is in the dock area or the freezer, which RFID answers with a tag reader at the zone boundary. Room-level: the truck is in the north aisle block, which Wi-Fi triangulation answers with accuracy of a few meters. Position-level: the truck is at the third rack on aisle four, which Bluetooth and UWB answer with accuracy from a meter down to tens of centimeters. And outdoor-level: the truck is on the yard, which GPS answers. Each level answers a different question, and the question, not the technology, should set the level.
The technology cost curve
The cost follows the precision. RFID is the cheapest, a few dollars per tag plus the readers. GPS hardware runs $300 to $900 per truck plus the subscription, as the GPS post on this site covers. Wi-Fi-based systems reuse the facility’s access points, which keeps the infrastructure cost low, but the accuracy is the weakest of the indoor options. Bluetooth systems add beacons and land in the middle. UWB is the premium tier, with the anchors, the tags, and the platform subscription, and the cost guide places the bands. The honest rule: buy the lowest precision that answers the question, because the value of the data is in the decision it changes, and a zone-level answer is enough for most fleet decisions.
Which question each level answers
The question set decides the level. Utilization and dispatch: zone-level is enough, which truck is where, and the tracker systems post covers the workflow. Zone enforcement for speed control: zone-level is enough, because the enforcement is a boundary, not a position. Event reconstruction and incident review: position-level matters, because the review wants to know which rack, which intersection, which spot. Pedestrian proximity and tag-based detection: position-level matters, because the warning depends on distance. The RTLS post on this site covers the safety use cases that demand the higher levels.
The mixed reality
Most operations end up with two levels, not one. The outdoor fleet, the yard tractors and the dock traffic, gets GPS, and the indoor fleet gets an indoor layer, usually BLE or UWB in the areas where the exposure concentrates. The platforms that handle both, showing the yard trucks and the indoor trucks on one map, are the ones worth buying, because a tracking system that loses the truck at the dock door has a hole exactly where the risk is. The fleet management guide on this site shows how the levels combine in one stack.
The decision
The data use cases that pay
The tracking investment pays through the decisions the data changes, and the three highest-value use cases are worth listing. The dispatch case: the supervisor who locates the nearest idle truck in seconds instead of walking the floor, saving the minutes that compound across every shift. The utilization case: the fleet-sizing decision that the hours data supports, cutting the trucks and the pedestrian exposure that excess capacity carries. And the incident reconstruction case: the location record that turns the disputed impact into a review, which the impact cameras on this site pair with the footage. Each case is measurable, and the KPI review should track the decisions made from the location data each month. The tracking system that changes three decisions a month has paid for its subscription; the one that changes none is a map with dots.
Start from the question, not the brochure. Write down the three decisions the tracking data must change, locate a truck, enforce a zone, reconstruct an event, and buy the lowest-cost level that answers all three. Pilot on the highest-risk routes, measure whether the data changes the decisions, and upgrade the level only where the pilot shows the need. The spectrum exists because different questions cost different amounts to answer, and the operation that matches the level to the question gets the tracking value without paying for the precision it cannot use.
