This paper investigates the integration of artificial intelligence (AI) and the Internet of Things (IoT) for real-time monitoring, sorting and delivery management in postal logistics. The study considers the transformation of postal services under digital economy and e-commerce conditions and proposes a conceptual architecture consisting of IoT sensing, a unified data platform and an AI-based decision-support module. A set of indicators is developed to jointly evaluate service quality, delay, routing cost and data accuracy. Scenario-based calculations are used to demonstrate the practical applicability of the proposed approach without presenting hypothetical values as empirical field results.
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Nurmakhamad et al. (2026) studied this question.
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