# Route and last-mile delivery analysis **Key question:** Why do deliveries keep failing in the same areas and time windows? In last-mile delivery, every failed delivery costs twice: the wasted attempt and the second trip. The TMS records every stop, but the overall picture is rarely analyzed: which areas, time windows, customer types and routes concentrate the problems. ## What we analyze - Failed delivery rate by area, time window, day of the week and customer type. - Stops per route, average time per stop and miles per delivery. - Differences between planned and actual routes. - Workload per driver and per vehicle. ## Decisions it supports - Redraw delivery zones and time windows based on data. - Match the number of routes and vehicles to each day of the week. - Spot customers or addresses that need a different type of service. - Set realistic targets for each route. ## Common findings These are patterns we see often, not guaranteed results. What we find in your operation may be different. - Failed deliveries cluster in a few areas and time windows rather than spreading evenly. - Routes that look balanced in miles hide big differences in time per stop. - Planning assumes times that execution doesn't meet on certain days. - **Typical data:** TMS or routing software, proof of delivery, GPS and incident logs - **KPIs:** Failed deliveries, stops per route, time per stop, miles per delivery, cost per delivery - **Related service:** Operations assessment