I think it's clear that they want to use this to minimize expenditures. The problem arises with how they use the data. The trackers don't intrinsically let them get the bad driver rate down, but lets them tune the premiums that those drivers have to pay.
Let's use your data; they currently pay ~$1,090 per customer. So for the sake of argument, let's say that they charge $1,100 and keep that $10 in expectation. Now they install GPS trackers, and they can identify two classes of behavior; class A drivers (50% of drivers), who have a 4% accident rate, and class B drivers (50% of drivers), who have a 16% accident rate. The combined rate is still 10%.
Class A drivers cost 48 * 1e2 + 2 * 1e4 = $24,800 = $496/driver
Class B drivers cost 42 * 1e2 + 8 * 1e4 = $84,200 = $1,684/driver.
So this is great -- good drivers pay less, risk profiles are narrowed, etc. Maybe the bad drivers can be given feedback that will tell them what things they can do to minimize their accident rate based on the GPS data, and get some feedback on that -- "drive slower", "stop at red lights", "stop running into parked cars" -- things that both improve the metrics for the GPS and result in safer drivers.
But maybe the metric that the adjusters found are "frequently drives in historically Irish neighborhoods", or "drives to fast food restaurants more often". Now things get diciers. And what if the things that the GPS is measuring are not proxies for how bad a driver they are, but how willing they are to settle with cash without involving insurance. Or the correlation is a false one -- it could be that most of the Class B drivers are excellent drivers, as good as Class A, but they have to pay Class B rates because they got lumped in with a secondary association not related to quality of driving.
This is a problem with any attempt to bring more metrics to bear in computing insurance rates, but is especially exacerbated by the invasive nature of GPS-based metrics, which can be used as proxies for all sorts of socioeconomic signals that allow open discrimination.