Editors-in-Chief
Prof. Jian Li
School of Economics and Management，Beijing University of Technology,China
Publishing
Table of Contents
Open Accessarticle
by Gayatri Patil, Gauri Pansambal, Sanket Pandit, Abhay Pawar, Parth Nalawade
2024,2(2);
92 Views
Abstract
"Emograph: Transforming Customer Sentiment into Actionable Insights for Smarter Purchasing" introduces a cutting-edge approach to understanding customer sentiments and translating them into practical strategies for informed decision-making. In simpler terms, it's about using advanced technology to figure out how customers feel about products or services, and then using that information to make smarter choices.Imagine you're a business owner. You want to know what your customers think about your products. Emograph helps you do that. It uses fancy tools and techniques to analyze data from customers - like what they say on social media, in reviews, or even in surveys. Then, it breaks down all that information to figure out if people like your stuff or not.
Basically, Emograph is like having a super-smart assistant who listens to what your customers are saying, translates
it into plain English, and then gives you advice on what to do next. It's like having a secret weapon for making your
business even better. And in today's world, where understanding customers is key to success.
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Open Accessarticle
by Sakshi Tayade, Akash Goyal, Pranjal Wani, Sanskruti Behar
2024,2(2);
26 Views
Abstract
This paper presents a prescient investigation system for development destinations utilizing fake insights (AI) advances. The essential center of this inquire about is to create prescient models that use AI calculations to expect and moderate potential dangers and optimize development forms. Key components of the venture incorporate information collection from development destinations, highlight designing, demonstrate preparing, and assessment. Different machine learning and AI strategies are utilized to analyze chronicled information, distinguish designs, and figure future occasions such as extend delays, material deficiencies, and security risks. The proposed system points to upgrade decision-making forms in development administration by giving noteworthy experiences inferred from data-driven prescient analytics.
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Open Accessarticle
by Akash Goyal
2024,2(2);
3 Views
Abstract
This paper presents a prescient investigation system for development destinations utilizing fake insights (AI) advances. The essential center of this inquire about is to create prescient models that use AI calculations to expect and moderate potential dangers and optimize development forms. Key components of the venture incorporate information collection from development destinations, highlight designing, demonstrate preparing, and assessment. Different machine learning and AI strategies are utilized to analyze chronicled information, distinguish designs, and figure future occasions such as extend delays, material deficiencies, and security risks. The proposed system points to upgrade decision-making forms in development administration by giving noteworthy experiences inferred from data-driven prescient analytics.
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