ICAIEM · Registering as Listener

International Conference on Artificial Intelligence-Driven E-Commerce Marketing

9th Oct – 10th Oct 2026 Bristol, UK Standard / Physical Participation
Listener Registration From
$—
$— in person
Registration Benefits:
Official invitation letterIssued automatically after registration
Certificate & digital materialsGet certificate, slides and resource materials
Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

For Support Please Contact

Coupon code

Have a code? Apply it here — the discount updates the total immediately.

Apply
VISA MC AMEX UPI

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceICAIEM
ModeStandard / Physical
ParticipationListener
Registration fee$—
Bank charges (5.8%)$—
Discount-$0.00
Total payable $—

Includes all bank processing charges — the amount above is exactly what will be charged. View charge breakdown

Need help?

Contact our registration team:

Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
Conference Session Tracks
SDG Wheel

SDG-Aligned Research Themes

International Conference on Artificial Intelligence-Driven E-Commerce Marketing 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

This track explores the integration of artificial intelligence technologies in e-commerce marketing strategies. It focuses on how AI can enhance customer engagement and drive sales through innovative marketing approaches.

This session delves into the application of machine learning techniques to analyze consumer behavior in the e-commerce landscape. Participants will discuss methodologies for predicting purchasing patterns and preferences.

This track emphasizes the role of predictive analytics in optimizing e-commerce operations. It will cover techniques for forecasting sales trends and consumer demands to enhance strategic decision-making.

This session focuses on the importance of personalization in enhancing the customer experience in online retail. Discussions will include effective methods for tailoring marketing messages and product recommendations.

This track examines the design and implementation of recommendation systems in e-commerce platforms. Participants will explore how these systems can improve customer satisfaction and increase conversion rates.

This session investigates the use of data analytics for effective customer segmentation in e-commerce. It will highlight techniques for identifying distinct consumer groups and tailoring marketing strategies accordingly.

This track discusses the role of marketing automation tools in streamlining e-commerce marketing efforts. Participants will explore best practices for automating campaigns and enhancing operational efficiency.

This session focuses on the implementation of chatbots in e-commerce to improve customer service and engagement. Discussions will cover the effectiveness of chatbots in addressing consumer inquiries and driving sales.

This track explores the development of omnichannel strategies to create a seamless shopping experience for consumers. Participants will discuss the integration of various channels to enhance brand loyalty and customer retention.

This session examines the impact of social media on e-commerce marketing strategies. It will cover techniques for leveraging social platforms to boost brand visibility and customer interaction.

This track investigates the latest technological advancements shaping the future of e-commerce marketing. Participants will discuss the implications of emerging technologies on consumer behavior and marketing effectiveness.

COPYRIGHT © 2026 International Conference on Artificial Intelligence-Driven E-Commerce Marketing. ALL RIGHTS RESERVED