System Design of Intelligent Logistics Training Base Based on Information Technology Integration

Against the backdrop of intelligent logistics growth and talent shortages, this study aims to fill gaps in the integration of the internet of things, artificial intelligence, and big data with industry-education collaboration. Adopting a single-case research design, data were collected over 12 months (September 2023–August 2024) via semi-structured interviews, operational records, graduate surveys, and document analysis. Reliability was ensured through triangulation and inter-rater validation. Technology integration reduced cold-chain goods loss by 20%, increased automated sorting speed by 25%, and cut overall logistics costs by 15%. At the same time, industry-education integration boosted graduates' employment rate to 85%, with enterprise satisfaction reaching 4.2 out of 5, outperforming peer programs. Minor issues such as insufficient enterprise investment were identified and addressed. This study enriches the theoretical understanding on intelligent logistics technology-education integration and provides a replicable framework for training-based construction, alleviating industry talent shortages.