Artificial intelligence applications in e-commerce logistics: mapping process impacts and future research directions

Objective - Artificial Intelligence (AI) has become a pivotal technology in transforming logistics performance. This paper aims to comprehensively understand how AI-enabled solutions improve efficiency, accuracy, and responsiveness in logistics operations. The study focuses on synthesizing current research to explore AI applications across various logistics domains, such as predictive analytics, autonomous vehicles, and smart warehousing. Methodology/Technique – A systematic review approach was used to gather and analyze existing literature on AI applications in logistics. The review covered studies published in recent years, highlighting the advancements and impact of AI on logistics processes. The methodology included selecting relevant sources, categorizing AI applications, and assessing their effects on different logistics functions. Finding – The findings reveal that AI adoption substantially improves logistics operations, including enhanced operational performance, cost reduction, and increased customer satisfaction. Specific AI applications, such as predictive analytics for demand forecasting, autonomous vehicles for transportation, and smart warehousing for inventory management, were identified as key contributors to these improvements. However, challenges such as data privacy concerns and integration complexities were also noted. Novelty – This study's novelty lies in its comprehensive analysis of AI applications across various logistics domains, offering a holistic view of AI's role in optimizing logistics performance. This paper highlights the benefits of AI adoption and addresses the associated challenges, providing insights into future research directions and practical implications for leveraging AI in logistics. Type of Paper: Review JEL Classification: C61, C62, D83. Keywords: Artificial Intelligence; Logistics; Performance Improvement; Predictive Analytics; Autonomous Vehicles; Smart Warehousing Reference to this paper should be referred to as follows: Fatorachian, H. (2024). Leveraging Artificial Intelligence for Optimizing Logistics Performance: A Comprehensive Review, GATR-Global J. Bus. Soc. Sci. Review, 12(3), 146–160. https://doi.org/10.35609/gjbssr.2024.12.3(5) _____________________________________

With the rapid development of Artificial Intelligence (AI) technology, global economic models and market structures are undergoing profound transformations, particularly in the fields of international trade and logistics, where the application of AI is becoming a key driver for improving efficiency, reducing costs, and enhancing customer experience. Traditional international trade and logistics systems face multiple challenges such as supply chain opacity, high transportation costs, information asymmetry, and low operational efficiency. The introduction of AI technology, especially in areas such as big data analytics, machine learning, automation systems, and intelligent decision support, has gradually demonstrated its powerful potential in addressing these issues. This study aims to explore the specific applications of AI in international trade and logistics, as well as its role in driving the digital transformation of global supply chains. By analyzing the practical applications of AI in key areas such as supply chain management, trade data processing, and intelligent logistics, this paper seeks to provide valuable theoretical support and practical guidance for relevant enterprises and policymakers to promote industry development and enhance corporate competitiveness. To achieve this goal, the study adopts a case study approach, combining current industry data and AI technology development trends to comprehensively assess the current state and future potential of AI applications in international trade and logistics.

PurposeThis study explored the different artificial intelligence (AI) applications used in academic libraries and the key factors and impediments related to their implementation.Design/methodology/approachThe author applied quantitative research methods in the form of a questionnaire, using both open and closed questions. A total of 472 valid questionnaires were received from academic librarians.FindingsThe author sought responses from librarians who had implemented AI applications and those who had not, identifying the types of AI applications implemented, key factors relating to their implementation, and impediments to promoting AI. Gaps were identified between the level of support for AI applications and the negative effect of the impediments. Furthermore, the more extensive the individual and organizational knowledge activities performed by the librarians and libraries held, the more positive the attitude was librarians' attitude toward AI applications in their libraries. However, librarians recognized that AI applications are inevitable, but indicated that the difficulties of in execution have hampered the adoption of AI.Research limitations/implicationsThe sample data were collected in Taiwan; therefore, the data may only represent the views of Taiwanese academic librarians on AI applications. The results of this study may not apply to librarians worldwide; however, they may provide a useful reference.Practical implicationsThe results revealed the top four AI applications that libraries would most likely implement in the near future. Therefore, AI application developers and suppliers can prioritize the promotion of these products for to academic libraries. This study revealed that funding and costs related to AI implementation were discovered to be key factors relating to implementing AI applications. Some impediments to the implementation of AI applications relate to technological problems. Several librarians suggested that managers should invest more resources at an early stage rather than reducing cutting back on human resources initially. Although worries regarding privacy and ethics were mentioned expressed by some respondents, most academic librarians did not regard these to be major concerns.Originality/valueThis study provides the perspectives of librarians who have implemented AI applications and of those who have not. In addition, it explores the advantages and disadvantages of AI applications, and the level of support for and impact of AI applications and promotions. This study also included a gap analysis. Moreover, individual and organizational knowledge activity scales were adopted to examine AI awareness and the perceptions of academic librarians.

Objective – The objective of this research is to analyze the potential of technologies based on Artificial Intelligence (AI) as an auxiliary tool in land regularization and urbanization of precarious settlements, contrasting their contributions with the weaknesses of traditional surveying and monitoring techniques in these areas. Methodology – The research uses a qualitative and analytical approach, based on three axes: (i) comparative analysis between traditional methodologies and AI-based solutions; (ii) study of technological tools; and (iii) critical systematization of the use of AI in diagnosis, monitoring, forecasting and decision-making support. Originality/Relevance – The originality and relevance of this research lie in the investigation of the potential of technologies based on Artificial Intelligence (AI) as an auxiliary tool for urban planning specifically aimed at the process of urbanization and land regularization of favelas and urban communities. Results – The results suggest that AI, by combining geospatial, socioeconomic, and normative data, improves the quality of the information gathered, enables predictive simulations, and supports the development of socially just and resilient public policies. The contribution of interpretable algorithms to ensuring clarity and credibility is also evident, which is crucial for civil society approval of urbanization plans. It is clear that technological resources act as a support tool to promote fair and sustainable urban planning, but they do not replace professional evaluation, an essential element in this process. Theoretical/Methodological Contributions – The work highlights the methodological advancement of Artificial Intelligence (AI) in the dimensions of diagnosis, monitoring, forecasting and decision support, in the urban planning process aimed at the urbanization and land regularization of favelas and urban communities, enabling: combination of varied and detailed data to diagnose and monitor spatial dynamics, greater traceability and transparency with Explainable Artificial Intelligence (EAI) and strengthening community validation in relation to the methodological solidity of projects. Social and Environmental Contributions – The application of Artificial Intelligence (AI) to the urbanization and land regularization of favelas and urban communities offers important social and environmental contributions. In the social sphere, AI enables the automated mapping of irregular areas, supporting more efficient and fair public policies, while also promoting social inclusion, transparency, and community participation in urban planning processes. From an environmental perspective, AI contributes to the sustainable monitoring of land use, the prevention of risks such as landslides and floods, and the planning of green infrastructure, favoring more balanced and resilient urban occupation. Thus, the use of AI becomes a strategic tool for building smarter, fairer, and more sustainable cities.

Solutions on both consumer and state levels have become increasingly vulnerable to sophisticated cyberattacks by e.g. malware, phishing, machine learning and artificial intelligence. As the adoption and integration of information technologies are increasing and solutions are developing, the need to invest in cyber-security is at an all-time high. Investment in cybersecurity is a chief priority within the European Union, and project ECHO is a one initiative that put emphasis on devising, elaborating, implementing and enhancing a series of technological solutions (assets) to counteract cyber-attacks. The research problem of this study is what societal impacts do the ECHO assets have as product, as knowledge use, and as benefits to society. The literature review includes theory and practice from academic papers, EU innovation project and professional reports, and some ECHO project workflows. Relevant academic theoretical approaches that provide a basis for this task are: e-skills and training, Organisational Learning (OL), Societal Impact (SI), Societal Impact Assessment (SIA). This is a qualitative pilot study that evaluates the usefulness of employing a Product/ Knowledge/ Benefit Societal Impact framework to assessment of societal impacts. Data collection involved qualitative participatory observation of a co-creative expert hackathon workshop. This pilot study shows that the methodology path, where societal impact of ICT and AI solutions (e.g. the ECHO assets) are examined as these three elements (product, knowledge use, societal benefit). This pilot study serves as a step to validate this path and design and select practical, rigorous and relevant quantitative methodology to further the understanding of both societal impact assessment of cyber, e-, and AI-based solutions and services. To incorporate societal impacts with cyber and e-skills this study recommends developing and refining actual key performance indicators (KPI) to provide a basis for rigorous and relevant qualitative and quantitative questionnaire based inquiry of cyber, e-, and AI-based solutions and services.

Enhanced shelf life quality of peaches (Prunus persica L.) using ethylene manipulating active packaging in e-commerce logistics

The purpose of this study is to determine the most appropriate list of digital tools based on the use of artificial intelligence to improve the educational sector in Ukraine. The study included the following stages: compiling a list of expert organisations with assessments of the impact of AI technologies on education; evaluating AI solutions by experts and forming individual ratings; calculating relative ratings based on the frequency of mentions of AI solutions; identifying priority AI solutions by their leading positions; forming an optimal nomenclature of AI solutions; developing practical recommendations for the introduction of AI in education; analysing the future development of education using AI. The study found that the use of AI to modernise the Ukrainian education system is best done using a comprehensive three-tier deployment system. The first level involves creating an infrastructure for AI, ensuring the interaction of systems. The second level involves optimising and enhancing learning. The third level is aimed at automating and improving educational and support processes. The proposed practical recommendations address the ethical, technical, and pedagogical aspects of AI implementation, allowing for the creation of a modern, efficient educational system that meets the requirements of the present and forms competent specialists of the future. The research findings are crucial for modern education in Ukraine. The study identified opportunities and benefits of using AI in education, such as individualised learning, improved communication, and process automation. Recommendations for optimal artificial intelligence solutions will allow for a balanced approach to the implementation of these technologies, avoiding negative consequences and ensuring safety. These results provide a basis for the development of national standards for the use of AI in education and determine the vectors of further development of the industry, contributing to the creation of a modern, individualised and effective educational system that trains competent specialists of the future. Overall, the research findings define a strategic course for the integration of artificial intelligence into the educational space, which can significantly improve the quality and accessibility of education in Ukraine.

We are glad to introduce you that the 2021 3rd International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2021) was successfully held on September 10-12, 2021. In light of worldwide travel restriction and the impact of COVID-19, ICAITA 2021 was carried out in the form of virtual conference to avoid personnel gatherings. Because most participants were still highly enthusiastic about participating in this conference, we chose to carry out ICAITA 2021 via online platform according to the original schedule instead of postponing it.ICAITA 2021 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence Technologies and Applications to a common forum. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence Technologies and Applications and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Artificial Intelligence Technologies and Applications and related areas.This scientific event brings together more than 100 national and international researchers in artificial intelligence technologies and applications. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.We were pleased to invite three distinguished experts to present their insightful speeches. Our first keynote speaker, Prof. Yau Kok Lim, from Sunway University, Malaysia. His research interests include Applied artificial intelligence, 5G networks, Cognitiveradio networks, Routing and clustering, Trust and reputation, Intelligent transportation system. And then we had Prof. Peter Sincak, from Technical University of Kosice, Slovakia. His research includes Artificial Intelligence and Intelligent Systems. Lastly, we were glad to invite Chinthaka Premachandra, from Shibaura Institute of Technology, Sri Lanka. His research interests include Artificial Intelligence, image processing and robotics. In the last part of the conference, all participants were invited to join in a WeChat group to discuss and explore the academic issues after the presentations. The online discussion was lasted for about 30-60 minutes. The first two parts were conducted via online collaboration tool, Zoom, while the online discussion was carried out through instant communication tool, WeChat. The online platform enabled all participants to join this grand academic event from their own home.We are glad to share with you that we still received lots of submissions from the conference during this special period. Hence, we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: Artificial Intelligence Applications & Technologies, Computing and the Mind, Foundations of Artificial Intelligence and other related topics. All the papers have been through rigorous review and process to meet the requirements of international publication standard.Lastly, we would like to express our sincere gratitude to the Chairman, the distinguished keynote speakers, as well as all the participants. We also want to thank the publisher for publishing the proceedings. May the readers could enjoy the gain some valuable knowledge from the proceedings. We are expecting more and more experts and scholars from all over the world to join this international event next year.The Committee of ICAITA 2021List of titles Committee member, General Conference Chair, Technical Program Committee Chair, Academic Committee Chair, Technical Program Committee Member, Academic Committee Member are available in this Pdf.

Introduction: In todays rapidly changing technology, artificial intelligence (AI) is changing the way we live, work and create art at an unprecedented speed. As an important part of human culture, dance art has also ushered in new development opportunities and challenges in this scientific and technological revolution. Objectives: This paper aims to explore the innovative application and influence of artificial intelligence (AI) in dance creation and performance. With the rapid development of AI technology, its application is increasingly wide in the field of art, and dance art is no exception Methods: This paper first outlines the application of AI technology in dance creation, including the generation of new dance movements through algorithms, auxiliary choreography, etc. These applications provide unprecedented creative sources and tools for dance creators. Then, this paper analyzes the role of AI in dance performance, such as the accurate movement performance of dance robot, the immersive experience of virtual reality technology in dance performance, etc. Results: These technologies not only enrich the form of dance performance, but also broaden the viewing experience of the audience. In addition, this paper also discusses the application of AI in dance teaching, such as intelligent guidance system, distance dance teaching, etc., which bring convenience and personalization to dance teaching. However, the application of AI in the field of dance also faces technical challenges and art ethical issues, which need further research and discussion. Conclusions: In conclusion, this paper believes that the application of AI technology in dance creation, performance and teaching has broad prospects, but it also needs to pay attention to its potential impact and challenges to promote the harmonious coexistence of dance art and AI technology. The research of this paper provides new perspectives and thoughts in the field of dance art, Provides a reference for future research and practice.

With the continuous improvement of oilfield development technology in modern society, the relevant enterprises in the field of oil development have therefore made rapid progress. Artificial intelligence has become an important technological innovation in the field of petroleum exploration and development, based on the application of artificial intelligence in the field of petroleum exploration and development can improve the efficiency of petroleum exploration and development, and promote the development of the industry. This paper focuses on the application of artificial intelligence in the field of petroleum exploration and development of the current situation from the field of logging, physical exploration, drilling and completion of wells, reservoir engineering, oil and gas field ground engineering, and for the application of artificial intelligence in the field of petroleum exploration and development of the development trend is analyzed, aiming to make the application of artificial intelligence in the field of petroleum exploration and development of the field better.

Technology changes life. At present, the application of “artificial intelligence” is becoming more and more popular in enterprise marketing. The application and planning of artificial intelligence has gradually become the core competitiveness of some enterprises in the development process. This paper focuses on “research background”, “application of artificial intelligence in enterprise marketing” and “development trend of artificial intelligence in enterprise marketing”. It is hoped that “artificial intelligence” will be taken as the breakthrough point to further explore the marketing mode of enterprises in the new era in China, and gradually standardize the application and development of artificial intelligence.

In the time we live in, the digital competencies of employees represent an important factor in achieving positive business results. In this sense, the integration and application of modern technologies and artificial intelligence in the learning and teaching process is of crucial importance in the information society of the 21st century. It is precisely the emergence of artificial intelligence and the rapid development of ICT that constantly affects the challenges of life and work, and therefore the success of students through the education system as members of a society in which ICT is an indispensable part. It is known that the development of information technologies has initiated improvement in various areas such as: finance, business, health, education, and the entire labour market. In this research work, it will be evolved to a new review of the relevant literature and research in practice, how artificial intelligence can influence the outcome of the educational process and increase the entrepreneurial competencies of employees. In this direction, this research will present a research study of questionnaires applied for analysis and obtaining data on training and testing for statistical evaluation. Statistical analysis will be based on the application of artificial intelligence, i.e., Adaptive Neuro-Fuzzy Inference Systems (ANFIS). In this research, we use the ANFIS methodology to determine the most important factors of student success in teaching. Based on the review of the relevant literature, it is evident that there is not enough research that would deal with the analysis of the relationship between students' success in mathematics and the factors that influence it. This is confirmed by the research results, which indicate that the quality of students' work in practice is influenced by several different factors: educational technology, teacher competence, teacher motivation, etc. This type of research fills the gap in the lack of research to determine which key factors have the strongest impact on student success. The research results of this paper confirm that the application of artificial intelligence in teaching through educational software, among other things, can be a key success factor for improving teaching. In this sense, the effects of the application of artificial intelligence and specific educational software and the effects they have on student motivation, that is, the interest and self-confidence of all factors of the educational process, have been identified. The obtained results indicate the benefits and advantages that educational institutions can have from the introduction of educational technologies in teaching. In this way, technology has become not only useful, but also a necessary instrument for purposeful action in society. The results of the research show that artificial intelligence through Neuro-fuzzy architecture was created with the aim of overcoming complex and complex problems, it has its application in situations that are mostly impossible to describe analytically. Once learned ways to overcome complex problems, they can be applied after schooling in order to contribute to raising the entrepreneurial competencies of pupils and students, which will lead to the improvement and modernization of business and help you stay relevant in the labour market.

"Foam container + ice pack" is a common packaging form for e-commerce logistics of litchis. However, there are numerous factors affecting the temperature variation under this logistics mode, making it difficult to control the packaging temperature and litchi quality during the e-commerce logistics process. In order to explore the impact of the packaging scheme on the packaging environment temperature and the quality variation in litchis during the "foam container + ice pack" logistics process, this paper takes the number of ice packs, the terminal pre-cooling temperature of litchis, the weight of litchis, and whether to use aluminum foil insulating film as variable factors to study the impact rules of these factors on the EPS (Expanded Polystyrene) foam container environment temperature, the total number of fruit pericarp, and the marketable fruit rate. The experimental results show the following trends: the terminal pre-cooling temperature has a significant impact on the daily average temperature of the fruit layer; the packaging environment temperature of the 15 °C pre-cooling group on the first day and the second day is 5.00 °C and 2.78 °C higher than that of the 5 °C pre-cooling experimental group, respectively. Moreover, under this treatment, the growth rate of fruit pericarp fungi is relatively fast, which could reach 3.87 Lg (CFU/g) on the second day. Increasing the amount of litchis could maintain a lower temperature environment, but it will cause the relative conductivity increasing 4.12% compared with the groups with no weight increasing. Increasing the number of ice packs could significantly reduce the decline rate of fruit soluble solids in the first two days. The research results of this paper are expected to provide a certain reference for the quality assurance logistics and the formulation of long-distance transportation strategies for perishable agricultural products.

With the continuous development of science and technology, exploration in the field of life sciences has become increasingly profound, encompassing the understanding of human beings themselves and the exploration of disease etiology and treatment methods.Artificial intelligence is defined as the intelligence exhibited by artificially created systems. The application of artificial intelligence is quite extensive and can replace humans in various aspects of work, significantly enhancing efficiency in daily life and work. Artificial intelligence has a dual nature, as it could provide convenience to human society but could also bring about various adverse effects.This paper summarizes the current applications of artificial intelligence in the field of life sciences. By analyzing the applications of artificial intelligence in areas such as gene editing, drug development, and bioinformatics, it demonstrates the potential of artificial intelligence in the field of life sciences. At the same time, this paper also points out the ethical, technical, social, and various challenges that the application of artificial intelligence technology in the field of life sciences faces, with the aim of providing reference for research in related fields.

Unstructured big data analytics for retrieving e-commerce logistics knowledge