📢 Latest Update: UGC Discontinues CARE Journal Listing: New Guidelines for Selecting Peer-Reviewed Journals View Now

E-Commerce for Future & Trends Cover

E-Commerce for Future & Trends

E-ISSN: 2454-9347 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

E-Commerce for Future & Trends E-Commerce for Future & Trends (ECFT) is a peer-reviewed hybrid open-access journal launched in 2014 that includes the use of the internet, smartphones, and creates confidence among people to use their credit cards online as e-commerce grows … exponentially. E-commerce is here to stay, and everyone must adapt to become smarter online as buyers and sellers, applying the same fundamental principles of real-world business to the digital environment.

View full focus & scope More

Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

45

Published Articles (2024)

55.66

Days Acceptance Time

103.14

Day Publication Time

—

Total Visits

Journal Information

Title: E-Commerce for Future & Trends
Abbreviation: ecft
Issues Per Year: 3 Issues
E-ISSN: 2454-9347
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/ ECFT
Starting Year: 2014
Subject: E-Commerce for Future & Trends
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

View Full Editorial Board

ecft maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Atul Loomba, Associate Professor

Rabindranath Tagore University, Madhya Pradesh, India,

Email :

Latest Articles

Ahead of Print

Dynamic Price Model for E-Commerce

Retailers may now respond to fluctuating demand, inventory levels, competitor activities, consumer traits, and market circumstances using dynamic pricing, a data-driven technique that has become more significant in e-commerce.

Dynamic pricing, e-commerce, machine learning, algorithmic pricing, big data analytics, consumer behavior, price optimization, fairness and ethics

Personalization in E-Commerce and Its Impact on Customer Satisfaction

In e-commerce, personalization is the process of customizing online shopping experiences based on each customer’s preferences, past purchases, and behavior.

Amazon, Flipkart, e-commerce, customer satisfaction, personalization in e- commerce, artificial intelligence, cutting-edge technologies

Comparative Analysis of AI-Enabled Conversational Agents and Recommendation Systems for Real-Time Customer Engagement in E-Retailing

The rapid deployment of artificial intelligence (AI) in e-retailing has revolutionized the way companies interact with customers in real time.

Artificial intelligence, conversational agents, recommendation systems, real-time customer engagement, perceived personalization, trust in AI, e-retailing

Campus Connect: Intelligent Web Platform for Integrating Academic and Administrative Campus Activities

Campus Connect is a full-stack web-based application designed to improve communication, collaboration, and community engagement within a college campus.

Campus Connect, e-learning platform, web-based application, academic collaboration, campus management system, student engagement, digital communication

A Privacy-Preserving and Performance-Optimized Machine Learning Framework for Personalized E-Commerce User Experience

In contemporary e-commerce websites, merchant suggestions are the most outstanding way to boost customer satisfaction and conversion levels.

Privacy-preserving machine learning, federated learning, differential privacy, personalized e-commerce, performance optimization

RideRadar: Real-Time Bus Tracking and Updates

Daily bus commuters know the frustration well, standing at stops with no idea when their ride will arrive, missing connections, and dealing with safety concerns that make public transport feel unreliable.

Arduino, bus tracking, GPS module, IoT in public transport, MPU- 6050, passenger safety, real-time feedback, smart transportation, tilt detection
Support