A sample of how we modeled a last-mile network for a regional grocer.
The client was experiencing high delivery costs in the "Loop" area despite high order volume. Our analysis revealed that service radiuses were too large for the current labor model.
We visualized drive-time isochrones against actual order density to identify service overlap and inefficiency.
By splitting the zone into two micro-hubs, the client reduced cost-to-serve by 12%.