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The Delivery Economics & Cost Page
Delivery Economics & Cost-to-Serve
Decouple Cost from Volume
Reduce Average Unit Cost by up to 54%. Escher’s Delivery Intelligence breaks the linear relationship between parcel growth and operating expense by digitizing first, middle, and last mile, eliminating manual touches, mis-routes, and failed deliveries from acceptance to final delivery.
As e-commerce volumes surge, operational costs often rise even faster. Inefficient routing, manual driver management, multiple touches, and paper-based processes mean that winning more volume erodes margin per parcel.
With a fixed delivery cost structure, you cannot compete with parcel-native logistics players. Driving down cost-to-serve relentlessly is essential to maintain profitability in a competitive market.
Radically lower the delivery cost base. By automating route optimization across first, middle, and last mile and digitizing the driver workflow, operators can cut Average Unit Cost by up to 54%, turning the delivery network from a cost center into a competitive advantage.
Algorithms continuously recalculate the most efficient path across first, middle, and last mile, cutting fuel consumption and drive time per drop while protecting service levels.
Remove manual data entry and paper manifests. Drivers receive digital manifests; proof of delivery is instant, cutting back-office admin and “where is my parcel” enquiries.
Maximize the productivity of every middle-mile lane, route, van, and driver, ensuring no vehicle runs under capacity and no items are left behind.
Jersey Post used Escher’s automation to transform its logistics network. Despite rising volumes, they reduced Average Unit Cost by 54%, effectively doubling the efficiency of their final mile operation.
