The novel idea behind our solution is to use device level location analytics coupled with network load and performance metrics at radio level to create an optimized schedule for an OTA software download campaign. Furthermore, because optimization is computational expensive, we employ location analytics to create car segments with similar scheduling characteristics (commute cars, weekend cars, etc.) and then apply heuristic scheduling to the segments with less network impact, leaving the high impact segments for the optimization. This results in a reduced problem space for the optimization process thus less extensive computation while still producing a highly efficient schedule for software updates.