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42 articles for “Online products”
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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Baker’s Company (An E-commerce Application)
Abstract: Bakery industry is playing a very important role in the lives of people who like to eat baked foods like cakes, pastries, cookies etc. The market of bakery industry is categorized as cafes, restaurants that serve coffee, tea and baked food to customers who wish to consume them. As nowadays technology plays a vital role in our lives to make our life easier, the use of mobiles operating systems like …
Published in E-Commerce for Future & Trends Read article
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Survey of Consumer Preference Towards E-commerce
Abstract: E-Commerce has undergone a tremendous shift in the age of globalization. Most corporate organizations have been using this technology to sell their various products for the past 10 years. For consumers in developing countries like India, online shopping offers a radically different buying experience. One of the tools available for online shopping is the facility. Numerous shoppers are attracted by the substantial discounts and offers made by the online vendors. …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 2, 2024 · pp. 9–15 Read article
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The Rise of AI in E-Commerce: Transforming Shopping Experiences
Abstract: The field of e-commerce is transforming due to the integration of artificial intelligence, offering businesses fresh possibilities to enhance customer experiences, streamline operations, and foster expansion. This article explores the transformative impact of artificial intelligence (AI) on various aspects of e-commerce, including personalized shopping experiences, intelligent chatbots and virtual assistants, predictive analytics for inventory management, dynamic pricing strategies, visual search and image recognition, fraud detection, and security measures, augmented reality …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 22–26 Read article
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A Study of the Impact of AI-Powered Recommendation Systems on Consumer Purchase Decisions in the E-Commerce Industry
Abstract: Through personalized suggestions, the e-commerce industry has been affected so much that it has been overtaken by AI-powered recommendation systems. This paper examines the effects of AI-powered recommendations on online shoppers and how they influence product discovery, the engagement level of shoppers, and unplanned purchases. Emerging from the results of a survey of 55 graduates and MBA students, more than 70% of respondents claim that AI has helped them find …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 01–06 Read article
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E-Commerce and AI: Product Recommendation and Pricing
Abstract: E-commerce has evolved from a simple online storefront to a complex ecosystem driven by data and demanding personalized experiences. In this highly competitive environment, businesses are continuously looking for new ways to entice and keep customers. Artificial intelligence is growing as an effective instrument, offering a multitude of applications that are transforming the e-commerce industry. This study will look at the important areas wherein AI is having a substantial impact, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 37–45 Read article
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Factors Influencing Online Purchase Behavior of Rural Consumers
Abstract: Online shopping has become a commonplace aspect of today's consumer landscape due to the rapid growth of e-commerce. This study explores the particular elements that impact rural consumers' online purchase behavior, whereas a large body of research has concentrated on the online shopping behavior of urban consumers. This study delves into the critical elements that influence rural consumers' online buying decision-making processes, based on comprehensive surveys and data analysis. The …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 5–16 Read article
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Implementation of website for Hind Enterprises Product: A Literature Review on Electronics perspectives, trends, and future directions
Abstract: The aim of Hind Enterprises’ product website is to develop a user friendly and informative online platform. That shows a diverse range of products. This website will serve as a comprehensive resource for manufacturing, business and individuals seeking information about machinery offering, specification and uses. The website will feature an intuitive and visually appealing design, ensuring seamless navigation for users. One primary goal of the project is to create a …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 1–6 Read article
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Price Comparison with Sentimental Analysis
Abstract: The price comparison website is designed to compare the prices of the products from various websites, which will help users to choose products that save money and time through online. Considering the customer's busy life especially those who are living in the city area, most of them prefer online shopping to save their time. Customers always prefer to buy products for low prices and compare prices from different e-commerce websites, …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 20–27 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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Sustainability Empowerment through Agricultural Information Hub
Abstract: Abstract A Farmer Information System web application has been developed to assist rural farmers in learning about and utilizing online sales platforms. Through this system, farmers can both purchase and sell their agricultural products, while also accessing valuable information to enhance their productivity. The project's main goal is to establish a website enabling farmers to sell their produce to customers in various cities. This platform serves as an educational resource, …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 19–24 Read article
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E-Commerce Clothing Platform with Virtual Try-On
Abstract: The inability to physically evaluate garments remains a major limitation in online clothing commerce. Customers often depend on static product images and generalized sizing charts, which do not accurately represent individual body proportions. This frequently leads to uncertainty during purchase decisions and increased product return rates. To address this limitation, this research proposes a web-based clothing e-commerce platform integrated with an intelligent virtual try-on mechanism. The system allows users to …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 17–24 Read article
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NexCart – The Ultimate Shopping Platform: A Full-Stack E-Commerce Web Application
Abstract: The rapid growth of internet technology has significantly transformed traditional shopping methods into digital commerce platforms. This paper presents NexCart, a web-based e commerce application designed to provide a simple, scalable, and secure online shopping experience. The system allows users to browse products, manage shopping carts, place orders, and perform secure transactions efficiently. The platform is built with HTML, CSS, and JavaScript on the front end, while the back end …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 Read article
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Time-Series Analysis of Uber Ride Trends
Abstract: This article provides an in-depth analysis of Uber's data analytics, clarifying its crucial role in revolutionizing the transportation industry. It provides vital insights for stakeholders by carefully examining rider patterns, driving behaviors, and market dynamics. This study provides a thorough knowledge of Uber's impact on urban transportation and socio-economic landscapes by combining existing research and proposing fresh approaches. Uber is a digital company that has made multiple attempts to leverage …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 34–38 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
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Sentiment Analysis of X (Formerly Twitter) Using Machine Learning
Abstract: Sentiment analysis is a methodology to determine the nature and behavior of each and every user for the content posted on the social media platform in the form of post and feed. Consumers of the online platform are encouraged to post reviews of the product that they purchase. Little attempt is created by Amazon to confine or limit the content of these reviews. The number of reviews for various merchandise …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 28–37 Read article
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Algorithm Visualization Using CI/CD
Abstract: The visualization of algorithms demonstrates how algorithms work more efficiently. Essentially, it seeks to simplify and automate the visualization of the algorithm. Using algorithm visualizations, we have discussed how standard algorithms can be taught more effectively and efficiently with automation and further can be used as open source. Our aim is to present a way to deploy our project using CI/CD which will be a far more efficient platform. Therefore, …
Published in Journal of Computer Technology & Applications Read article
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Measurement of Farm Efficiency in Agricultural Sector of India:A Study
Abstract: While the non-parametric production function is based on linear programming, the parametric production function is estimated using stochastic frontier analysis (SFA). The efficiency is assessed using a non-parametric technique known as Data Envelopment Analysis (DEA) (Charnes, Cooper, & Rhodes, 1978).. The primary benefit of the DEA technique is that it circumvents certain drawbacks of the parametric approach by requiring simply a little portion of a priori assumptions about the functional …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 Read article
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Innovative Approaches to Fake Product Detection: Blockchain and QR Code Synergy
Abstract: For consumers, corporations, and regulatory agencies, the worldwide market's rise of counterfeit goods presents serious issues. Maintaining consumer confidence, guaranteeing product safety, and preserving brand reputation all depend on the ability to identify counterfeit goods. An overview of the different approaches and difficulties associated with spotting counterfeit goods is given in this abstract. First off, the ability to identify sophisticated counterfeit goods is limited by the use of conventional techniques …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 21–27 Read article
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Streamlining Transport Management: The Evolution of Machine-to-Machine Communication
Abstract: Every transportation industry, as is well known, has its own paperwork that employees of the organisation can complete. There is a lot of paperwork in the transport business. The user will be able to oversee multiple tasks with this way. Additionally, the user can track orders and inspect their goods. By using this method, the user will be able to work more efficiently and save time and energy. It involves …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 2, 2023 · pp. 21–26 Read article