Hybrid Conferencee

International Conference on Artificial Intelligence in Digital Commerce (ICAIIDC - 26)

30th - 1st October 2026 | Bristol, UK

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Bristol. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Bristol event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Bristol conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Bristol, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Bristol."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advancements in AI-Driven Marketing Strategies

This track explores the latest innovations in artificial intelligence that are transforming marketing practices. It will focus on the application of AI technologies in developing targeted marketing strategies and enhancing customer engagement.

Track 02

Data Analytics for E-Commerce Optimization

This session will delve into the role of data analytics in optimizing e-commerce platforms. Participants will discuss methodologies for leveraging data to improve operational efficiency and enhance user experience.

Track 03

Intelligent Agents in Digital Commerce

This track examines the deployment of intelligent agents in digital commerce environments. It will highlight case studies and research on how these agents enhance customer service and streamline transactions.

Track 04

Deep Learning Applications in Consumer Behavior Prediction

This session focuses on the application of deep learning techniques to predict consumer behavior in digital marketplaces. Researchers will present findings on how these models can improve marketing outcomes.

Track 05

Natural Language Processing in E-Commerce

This track investigates the use of natural language processing technologies in enhancing e-commerce interactions. Topics will include chatbots, sentiment analysis, and automated customer support systems.

Track 06

Personalized Recommendations through AI Algorithms

This session will explore the development and implementation of AI algorithms for personalized product recommendations. Discussions will center on the impact of these recommendations on consumer engagement and sales.

Track 07

Smart Retail: Integrating AI in Physical Stores

This track focuses on the integration of artificial intelligence in physical retail environments. It will cover innovations such as computer vision and smart inventory management systems.

Track 08

E-Commerce Innovation and AI-Driven Solutions

This session will highlight innovative AI-driven solutions that are reshaping the e-commerce landscape. Participants will discuss emerging trends and their implications for future business models.

Track 09

Predictive Analytics for Business Decision Making

This track examines the role of predictive analytics in enhancing business decision-making processes. Researchers will present methodologies and case studies demonstrating the effectiveness of predictive models.

Track 10

AI-Powered Decision Making in Business Economics

This session will explore how AI technologies are influencing decision-making in business economics. Discussions will focus on the implications of AI for strategic planning and resource allocation.

Track 11

Consumer Behavior Insights through AI Technologies

This track investigates how AI technologies can provide insights into consumer behavior patterns. Participants will discuss methodologies for analyzing consumer data and the implications for marketing strategies.