In last-mile logistics delivery, time efficiency management is critical. The "Pre-Dispatch Intelligence System for Express Delivery" enhances efficiency by pre-synchronizing parcel information with route planning. This empowers couriers to prepare in advance, independently organize tasks and routes, boost delivery productivity, ensure timely shipments, and reduce workloads. By facilitating the transition from traditional labor-intensive distribution to data-driven intelligent logistics, it establishes a reusable value paradigm for the digital transformation of last-mile delivery operations.1、The dispatch preprocessing function deeply integrates waybill prediction, delayed waybill data, and route layer scheduling data. It predicts parcel arrival times at facilities and analyzes waybill information. Based on facility type and weight identification, it determines the corresponding route layer, matches this with scheduling data, and thus assigns the parcel to the appropriate courier. 2、The?delivery forecasting?functionality deeply integrates PIS waybill projection, waybill backlog data, and multi-layer scheduling data to project parcel arrival times at distribution centers and analyze waybill information. It identifies geographic layers based on facility type and parcel weight, then matches corresponding scheduling data to designated couriers. For?route optimization, the waypoint recommendation employs graph-based topological clustering algorithms to efficiently integrate regional POIs. The naming mechanism utilizes Transformer architecture with multi-head attention for precise semantic label generation. The sequencing process combines operations research optimization with LLM decision-making to achieve globally optimal path planning. 3、Unlike conventional approaches relying on singular algorithms with limited precision and flexibility, this system implements multidimensional optimization through hybrid application of classical algorithms and LLMs. It achieves breakthroughs in forecasting accuracy, clustering efficiency, semantic labeling, and path sequencing, demonstrating enhanced technical competitiveness and application prospects through technological convergence.1. Industry Impact: Through deep integration of data intelligence and logistics scenarios, it drives the transformation of last-mile logistics from traditional human-driven operations to data-intelligent systems. Its reusable model provides a template for enterprise digital upgrades, accelerates industry cost reduction and efficiency gains, and establishes foundations for building a smart logistics ecosystem via end-to-end data interoperability. 2. Courier Impact: The system significantly enhances sorting and delivery efficiency through intelligent forecasting and route recommendations. Couriers experience reduced daily working hours, lighter workloads, and increased job satisfaction, effectively alleviating high-intensity work pressures while fostering a more sustainable workforce ecosystem. 3. Consumer Impact: More consistent delivery timeliness ensures reliable shopping experiences, elevating service satisfaction. 4. Environmental & Social Value: Intelligent route planning minimizes redundant travel, advancing green logistics development. This generates economic benefits while creating positive societal outcomes.1、Centered on minimalist aesthetics and contextualized experiences, the design translates complex logistics functions into intuitive visual language. Using card-based layouts and modular information architecture, it establishes a flat hierarchy enhanced by strategic white space segmentation and functional color coding to achieve efficient visual communication. 2、User-friendly input features such as auto-segmented form fields reduce cognitive load while establishing a clear operational logic. 3、The map visualization module leverages intuitive geographic displays to present streamlined route planning. 4、The entire design adheres to B2B interface standards of professionalism and precision, employing minimalist techniques to conceal technical complexity. Through intentional color schemes, typography, and interaction design, it adapts to high-intensity delivery workflows while harnessing aesthetic value to enhance efficiency and reduce operational strain—ultimately unifying functional utility with visual comfort.This design reduces redundant vehicle travel through intelligent route planning, lowering fuel consumption and carbon emissions to advance green logistics. It simultaneously enhances economic efficiency while generating significant positive social impact.