Inaccurate service time predictions – not routing algorithms – are the primary cause of last-mile delivery failures, according to Bringg. When companies use flat average time estimates per service type, routes break down as actual stops take significantly longer than predicted, cascading into missed delivery windows, overtime, and rescheduled deliveries. The piece argues that most operations still rely on static service time configurations rather than dynamic predictions based on actual variables like building access and installation complexity.