1. Introduction

In recent years, the Internet of Things (IoT) has revolutionized various industries, with logistics being one of the most profoundly impacted sectors. The integration of IoT technologies into logistics has enabled real-time tracking, enhanced inventory management, and improved operational efficiency. This technological advancement has paved the way for smarter supply chain management and has opened new opportunities for innovation and growth in the logistics industry.

According to a study, the implementation of IoT in logistics has significantly improved the visibility and traceability of goods, leading to better decision-making and reduced operational costs [1]. Another study highlights the challenges posed by IoT adoption, such as cybersecurity threats and data privacy concerns [2]. Moreover, scholars emphasize the importance of developing standardized protocols and frameworks to ensure seamless integration and interoperability of IoT devices in logistics operations [3].

This paper aims to explore the impact of IoT on modern logistics, focusing on the challenges and future directions of this integration. The research will utilize a mixed-methods approach, combining literature review and case studies. The study will delve into the key challenges faced by logistics companies in adopting IoT technologies and propose potential solutions to overcome these hurdles. Additionally, it will forecast future trends and provide strategic recommendations for leveraging IoT to enhance logistics operations.

This research aims to investigate the architectural foundations of IoT in smart cities, evaluate current implementations, and identify challenges and future trends. This paper could provide some theoretical support for the construction of smart cities in the future to promote the development of smart cities.

2. Literature review

The rapid urbanization of the global population requires innovative solutions to manage city resources efficiently and sustainably. Smart cities leverage IoT to optimize infrastructure, improve public services, and enhance the quality of life for residents. This report examines existing research on Internet of Things technology and intelligent logistics.

This study explores the technical research on the application of modern logistics warehousing in the Internet of Things and artificial intelligence (AI) [4].

At present, the logistics industry is developing rapidly. The level of applicability for enhancing modern logistics and warehouse management is crucial for conducting effective research in new technology. The IoT and the rise and implementation of AI have significantly influenced people's lifestyles in the present era of information technology [5]. The development of modern logistics warehouse management models is an important technological force and crucial to achieving smart logistics.

Currently, new technologies are being developed, leading to significant changes in the current logistics warehousing management mode. Individuals should prioritize the integration of advanced technologies such as the Internet of Things (IoT) and artificial intelligence (AI) with thorough research and analysis in order to enhance the management of modern logistics warehousing. This will enable comprehensive application and improvement, leveraging the advanced technical features and advantages to effectively elevate the management level of logistics warehousing. Ultimately, this will result in the establishment of an intelligent logistics warehousing management model.

The rise and widespread use of e-commerce has promoted the rapid development of the modern logistics industry, which effectively meets people's production and life needs [6]. Nevertheless, the individualized requirements of residents and the level of service provided are equally significant.

Through intelligent management, people can provide logistics services that are on par with the standards set by contemporary logistics programs, thereby enhancing overall customer satisfaction. The process of ensuring effective access can be controlled by time. The intelligent warehouse and distribution system for forklift trucks and operators aids in the relocation of goods to a different storage site. An analysis is conducted on the situation, and instructions are transmitted via a portable interface. It provides the optimal driving route to prevent a collision, minimize the presence of slow-moving or stationary vehicles, and ensure a high speed by simultaneously enhancing warehouse efficiency and ensuring human safety throughout warehouse operations [7]. Conversely, it can aid in the analysis and enhancement of warehousing.

In recent years, the logistics industry has experienced rapid growth due to advancements in science and technology, particularly in the development of modern logistics based on Internet of Things technology. However, despite this progress, the industry still faces challenges in effectively managing inventory and improving transportation efficiency [8]. Numerous domestic researchers have researched this matter, although the majority of their studies focus on a specific aspect of logistical activities rather than the entirety of it. For instance, researchers examined the development of a transportation model based on the circumstances of vehicle companies, to achieve a balance between transportation time and cost. This approach successfully led to a reduction in both transportation expenses and time [9]. A different researcher utilizes RFID technology to construct a sophisticated storage system that efficiently addresses the issue of tracking the original product information. This system also streamlines the quality tracking and control of the workpiece, ensuring product quality effectively [10]. The advent of the Internet of Things and the advancement of associated technologies present a chance to address issues with inventory management and transportation, leading to transformative alterations in the logistics sector.

A novel intelligent logistics system model is developed by leveraging IoT. This model effectively addresses the issues of low information processing efficiency and inaccurate inventory management in logistics operations. Additionally, it enables real-time monitoring of vehicles and goods during transportation. Nevertheless, the implementation of IoT is currently in its nascent phase, encountering challenges such as underdeveloped technology and lack of uniform standards. Consequently, there is still a considerable distance to cover before IoT technology can be effectively utilized in the field of logistics, leading to the establishment of a really intelligent logistics system.

3. Problems and solutions

With the increasing demand, the development of modern logistics has been difficult to keep up with the pace of consumer demand. Based on this, this paper analyzes the current IoT technology in modern logistics on the basis of an overview of IoT technology.

3.1. Finding problems

The initial requirement for problem-solving is to identify the difficulties. This work aims to present these problems for exploration, with the intention of promoting development.

The urban environment is currently encountering numerous challenges. The growing presence of private vehicles has led to escalating traffic congestion. Additionally, issues such as water pollution, light pollution, and various forms of pollution have become increasingly pressing concerns that cannot be disregarded. Moreover, the consumption of fossil fuels and other energy sources during transportation is steadily rising. Furthermore, logistics packaging, plastic materials, and foam boards are contributing to these problems. Effectively managing a series of garbage, such as cartons, is a significant challenge that should not be overlooked. Failing to recycle or implement proper waste recycling practices can lead to the creation of a new cycle of waste accumulation. The Internet of Things offers potential solutions through real-time monitoring and management of urban resources. However, the integration of Internet of Things technology in smart cities raises concerns about the potential leakage of inhabitants' personal privacy information. Nevertheless, the incorporation of Internet of Things technology in smart cities raises concerns about the potential leakage of inhabitants' personal privacy information. The aim of this research is to identify the most urgent issues and explore innovative ways to solve them.

3.2. Solving problems

Before initiating any endeavor, individuals must ensure that the method encompasses a comprehensive strategy that integrates technological, regulatory, and social viewpoints. According to an ancient Chinese proverb, a hero is supported by three groups, a fence is secured by three posts, and success is not attained through alone combat. Prior to executing the methods, it is crucial to guarantee that all parties are in agreement, approach the problem from several perspectives, and resolve it. Technically, people should investigate the application of blockchain technology to safeguard IoT data and guarantee the preservation of user privacy. The decentralized nature and encryption principle of blockchain can enhance the security of IoT applications in smart cities. This, in turn, safeguards the rights and interests of users, instilling confidence and reliance in the company's operations, thereby creating a virtuous cycle.

This paper examines the advancement of standardized protocols and data formats to enhance interoperability. By improving these aspects, it can facilitate seamless communication between various IoT systems, which, in turn, enables fast, accurate, and efficient target positioning, information processing, and ultimately reduces the operation cycle. By implementing open standards and fostering collaboration among industry stakeholders, attracting investment, and promoting the positive growth of the Internet of Things (IoT) - logistics economy, it is possible to enhance the integration of IoT devices and platforms, foster unity, and dedicate everyone’s power to the advancement of IoT and logistics.

4. Conclusion

This article explores the significant impact of IoT technology on modern logistics systems. The literature review has highlighted how IoT-enabled solutions are revolutionizing various aspects of logistics. The integration of IoT and AI technology has enabled logistics providers to enhance operational efficiency, reduce costs, and deliver a superior customer experience.

While this study provides a comprehensive overview of the impact of IoT on modern logistics, it is limited by the lack of primary data collection and analysis. Future research should involve surveys, case studies, or field trials to gain empirical insights into the real-world implementation challenges and benefits of IoT in logistics. Additionally, a more in-depth analysis of specific IoT applications, such as predictive maintenance or autonomous vehicles, would further enhance the understanding of this domain. Going forward, researchers should also explore the synergies between IoT and emerging technologies like 5G, edge computing, and artificial intelligence to unlock the full potential of intelligent logistics systems. Collaborations between academia and industry will be crucial in driving this research agenda.

The future of IoT in logistics is promising. The growing emphasis on sustainability and the circular economy will drive the development of IoT-enabled solutions that optimize resource utilization and reduce environmental impact. To fully capitalize on these opportunities, logistics organizations must continue to invest in IoT infrastructure, foster cross-functional collaboration, and upskill their workforce to stay ahead of the curve.