Pioneering Predictive Analytics: AI-IoT Synergies for Adaptive and Sustainable Distribution Models in E-Commerce Supply Chains
A special issue of Journal of Theoretical and Applied Electronic Commerce Research (ISSN 0718-1876).
Deadline for manuscript submissions: 31 July 2026 | Viewed by 382
Special Issue Editors
Interests: supply chain management; robotic mobile fulfillment system; warehousing; logistics; multivariate statistical analysis
Special Issues, Collections and Topics in MDPI journals
Interests: cyber-physical systems; optimization modeling; digital twin; robotic mobile fulfillment system; swarm intelligence
Interests: operations research; optimization; logistics engineering; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the advancement of IoT and the latest AI models, a sustainable supply chain can be achieved by adopting predictive analysis for integrating environment, social, and financial aspects.
This Special Issue explores the use of IoT sensors and AI models to monitor carbon footprints, optimize energy use, and support green logistics of variolous distribution channels. The Special Issue aims to enable carbon neutrality and alleviate climate change. Through in-depth studies, it helps to examine the latest research in minimizing adverse environmental impacts and consider the holistic integration of supply chain operations so as to achieve profitable and efficient business.
We welcome original research and practical applications related to (but not limited to) the following areas:
- Real-Time carbon footprint prediction using edge-computing IoT and AI models;
- AI-driven demand forecasting for adaptive omni-channel distribution in volatile markets;
- Predictive maintenance with agentic AI for hyper-efficient, low-emission supply chain operations;
- Dynamic optimization of reverse logistics through big data analytics and blockchain integration;
- Integrated AI frameworks for circular economy transformations in e-commerce ecosystems;
- Generative AI for scenario-based predictive distribution and climate-adaptive demand forecasting;
- IoT-enabled smart sensors in real-time optimization of green distribution networks with urban micro-fulfillment;
- Disruptive distribution models in emerging e-commerce sectors;
- Theoretical models for AI-IoT convergence in ESG-compliant distribution practices;
- Overcoming barriers in data security, interoperability, and scalability for next-gen AI-IoT systems in green logistics;
- Empirical investigations of AI-personalized distribution strategies.
Dr. Carman Ka Man Lee
Dr. Dicky Kin Lok Keung
Dr. Shuzhu Zhang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Theoretical and Applied Electronic Commerce Research is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- IoT
- AI
- sustainable supply chain
- predictive analytics
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
