Autonomous Delivery Systems: Technological Approaches and Implementation Considerations for Retail Logistics Transformation

Abstract

Last-mile delivery constitutes a significant cost burden within retail supply chains. Traditional fulfillment models rely on individual drivers navigating congested urban roads. Sequential package handoffs consume considerable time and operational resources. Consumer expectations continue shifting toward same-day and on-demand delivery standards. Conventional logistics architectures struggle to meet accelerating fulfillment demands. Autonomous delivery technologies present viable solutions to address persistent inefficiencies. Ground-based robotic platforms navigate pedestrian infrastructure for neighborhood deliveries. Unmanned aerial vehicles enable direct point-to-point routing unconstrained by surface traffic. Full-scale autonomous trucks handle middle-mile transport between distribution centers. Multi-modal integration architectures combine platform strengths through coordinated handoff systems. Major retailers including Walmart and 7-Eleven have launched pilot programs testing various autonomous delivery modalities. Robot-to-drone transfer mechanisms extend delivery range beyond individual platform capabilities. Regulatory fragmentation across jurisdictions creates compliance complexities for scaled deployment. Infrastructure requirements include charging stations, transfer facilities, and maintenance depots. Environmental conditions affect sensor performance and operational reliability. The article examines technological modalities, current industry implementations, and considerations shaping autonomous delivery adoption within retail logistics networks.