How to tell new inventory from trade-ins in a dealer yard from the air

A sales planning manager pulls up an aerial shot of a dealer's back lot and asks the obvious question: which of these units are new stock waiting on a buyer, and which are trade-ins the dealer took on a deal and hasn't moved yet? It's a fair question to ask of a photo. It's just not one the photo can answer.

Why a top-down image can't sort new from used

At 0.5 m ground sample distance, which is about as sharp as commercial VHR imagery gets, a skid steer or compact excavator spans maybe 10 to 14 pixels across. That's enough to count it, place it, and tell it apart from a pickup truck parked next to it. It is nowhere near enough to read a window sticker, catch rust streaking on an undercarriage, or tell a two-year-old loader with low hours from one that rolled off a transport truck last week. RGB imagery shows you shape, shadow, and position. It doesn't show you a VIN plate or an odometer.

So anyone promising to visually classify "new" versus "trade-in" from a satellite or aerial pass, unit by unit, is promising something the resolution doesn't support. That's worth saying plainly before anyone builds a sales campaign around it.

What the imagery actually tells you: arrivals, departures, and dwell

Here's the part that is genuinely useful. A dealer lot isn't static. New units arrive and, if the dealer is moving metal, they leave again within a quarter or two. Trade-ins work differently: they show up irregularly, often get shuffled to a back row or an overflow area, and in a lot of cases just sit. A machine that was in the same spot, in the same orientation, three passes running has a different story than one that showed up this quarter and disappeared by the next.

That arrival-and-departure pattern is the signal worth tracking, more than any visual read of the machine itself. Watch a site across quarterly passes and match what showed up against what left, and you start to see which units move fast, closer to new-inventory behavior, and which ones are parked long-term, closer to trade-in behavior or just aging fleet the customer hasn't replaced. This reads the turnover rate of the lot as a whole, which is the actual thing a sales planner needs for timing a replacement push or a floor-plan conversation with a dealer.

Reading a yard like a timeline instead of a photo

A single image is a snapshot; a sequence of them across passes is a timeline per site, showing what's new since last pass, what's gone, and what's been sitting there since three passes back. Eyeballing one photo and guessing at inventory age gives you a hunch. A quarter-over-quarter timeline gives you something closer to a stock-turn report, built off what's physically parked on the ground each quarter rather than what a dealer reports back to the region.

Fleet Turnover Monitor runs exactly that comparison: a quarterly pass over a dealer's customer sites, machines matched pass over pass, with a dated arrival and departure timeline per location showing how fast each site's fleet is actually refreshing. It won't tell you a specific unit is a trade-in. It will tell you which sites are still running iron that showed up three or four passes ago and hasn't moved, which is usually the question behind the question.

If you're trying to time a replacement campaign off real movement in the yard instead of a rep's memory of how tired the equipment looked last drive-by, that's the gap this is built to close.