Hybrid Conferencee

International Conference on Predictive Models for E-Commerce Growth (ICPMECG - 26)

28th - 29th November 2026 | Melbourne, Australia

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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 Melbourne. 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 Melbourne 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 Melbourne conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Melbourne, 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 Melbourne."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICPMECG aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Analytics,E-commerce,Marketing, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Predictive analytics for e-commerce growth
02
Machine learning applications in retail
03
Customer lifetime value prediction models
04
Sales forecasting techniques for online stores
05
Impact of data quality on predictions
06
Using AI for personalized marketing
07
Trends in predictive modeling for e-commerce
08
Challenges in implementing predictive models
09
Case studies of successful predictive analytics
10
Role of big data in e-commerce growth
11
Customer segmentation using predictive analytics
12
Tools for predictive modeling in retail
13
Ethics in predictive analytics applications
14
Impact of seasonality on sales predictions
15
Real-time analytics for e-commerce decisions
16
Future of predictive modeling in retail
17
Integrating predictive analytics with CRM systems
18
Data visualization for predictive insights
19
Impact of economic factors on e-commerce growth
20
Collaborative filtering in e-commerce recommendations