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International Conference on Artificial Intelligence in E-Commerce Applications

18th Nov – 19th Nov 2026 California, USA Standard / Physical Participation
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SDG Wheel

SDG-Aligned Research Themes

International Conference on Artificial Intelligence in E-Commerce Applications conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 12 - Responsible Consumption and Production SDG 16 - Peace, Justice and Strong Institutions

This track explores the application of artificial intelligence in creating personalized shopping experiences for consumers. It will cover techniques such as recommendation systems and user profiling to enhance customer engagement and satisfaction.

This session focuses on the use of predictive analytics to understand and anticipate consumer behavior in e-commerce. Researchers will discuss methodologies for analyzing data patterns and their implications for marketing strategies.

This track examines the role of chatbots in improving customer service and experience in online retail. It will highlight case studies and research on the effectiveness of conversational agents in addressing consumer inquiries.

This session addresses the challenges of fraud in e-commerce and the innovative AI solutions developed to combat it. Participants will present research on machine learning algorithms and their application in identifying fraudulent transactions.

This track investigates strategies for optimizing various aspects of online retail operations through AI technologies. Topics will include inventory management, supply chain optimization, and operational efficiency.

This session focuses on the transformative impact of artificial intelligence on digital marketing strategies. Participants will explore AI-driven tools for targeted advertising, content creation, and campaign analysis.

This track delves into the integration of various sales channels to create a seamless shopping experience for consumers. Discussions will include the role of AI in synchronizing online and offline interactions.

This session will explore the utilization of big data analytics to derive actionable insights in e-commerce. Researchers will present methodologies for data mining and analysis to enhance decision-making processes.

This track examines the role of cloud computing in facilitating scalable e-commerce solutions. Discussions will focus on the benefits of cloud infrastructure for data storage, processing, and application deployment.

This session addresses the evolution of payment solutions in the e-commerce landscape, emphasizing security and user trust. Researchers will discuss innovations in payment processing technologies and their implications for consumer confidence.

This track explores emerging technologies that are shaping the future of smart retailing. Topics will include the integration of IoT, AI, and automation in creating intelligent retail environments.

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