Routes optimization provides accurate estimates of reasonable total distribution miles expected as function of daily volume variations
Using proprietary first/last mile routing algorithms with adapted cost model, Teranalytics was able to provide a lower-bound estimate of the total distribution miles expected as function of daily volume variations, adapted to specific cities and regions in the United States. The algorithms search for most efficient paths in both pick up and delivery, utilizing full truck capacity to optimally serve multiple customers during each trip. Once connected to the daily source of data, the system can quickly provide an estimate of optimum routes for the day, allowing to set expectations on total miles necessary to deliver the volumes. Even if not directly realizable due to external constraints, these estimates of minimum miles necessary counter-balance the worse case scenarios of multiple roundtrips and allow the distribution center to better negotiate their rates with the drivers.