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53 articles for “personalized marketing”
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Harnessing the Power of Big Data for Personalized Marketing
Abstract: In today’s digital age, big data has revolutionized the way businesses engage with customers, driving a shift from traditional blanket marketing strategies to highly personalized campaigns. By examining large volumes of data gathered from various sources like social media, websites, and transaction records, companies can gain valuable insights into consumer behavior, preferences, and buying patterns. Personalized marketing leverages these insights into craft-tailored experiences that resonate with individual customers. For instance, …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 19–22 Read article
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Local Markets, Global Flavors: Your Personalized Grocery Experience
Abstract: “Local Markets, Global Flavors” transforms the grocery shopping experience by linking customers directly with local markets and artisans. In contrast to standard grocery shopping, which can feel impersonal and lacks variety, this project delivers a shopping journey tailored to the unique flavours of each city. Through partnerships, “Local Markets, Global Flavors” aims to bring fresh, authentic products right to consumers' doorsteps. It offers based on dietary preferences and shopping history, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 08–13 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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Computer and Commerce – Relationship for The Future
Abstract: The relationship between computers and commerce has evolved dramatically over the past few decades, transforming the way businesses operate and how consumers interact with markets. This synergy continues to grow and holds significant potential for the future. Computers, through advancements in artificial intelligence (AI), machine learning, cloud computing, and big data analytics, have revolutionized commerce by enhancing efficiency, improving decision-making, and fostering innovation. In the future, we can expect even …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 42–59 Read article
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Smart Trolley System for Retail Stores: A Node MCU-Based Approach for IoT Integration
Abstract: This project report presents the design, development, and implementation of an RFID and IoT-based Smart Trolley System. The project is a collaborative effort undertaken by a group of dedicated individuals. The primary objective is to enhance the traditional shopping experience by leveraging advanced technologies to improve efficiency, convenience, and data analytics in retail environments. The Smart Trolley System integrates Radio-Frequency Identification (RFID) technology and the Internet of Things (IoT) to …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
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Herbal Dusting Powders: A Comprehensive Review of Benefits, Applications, and Market Trends
Abstract: Herbal dusting powders are gaining popularity as a natural alternative to conventional talcum powders, offering benefits such as moisture absorption, soothing skin irritations, and preventing friction. This review article explores the multifaceted aspects of herbal dusting powders, focusing on their composition, therapeutic benefits, sustainability, regulatory considerations, and consumer trends. The article delves into the wide array of herbal ingredients used in these powders, including neem, chamomile, lavender, and sandalwood, each …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 3, 2024 · pp. 21–27 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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AI-Driven Promotion Platforms: Increasing Customer Engagement in Banking
Abstract: Artificial Intelligence has been in talk since data was considered as an asset. Using this data, prolific information has been extracted to gather detailed information and create datasets. Artificial intelligence is shaping the narrative of the world in the 21st century. It has become a driving force behind innovation, influencing various industries and redefining traditional practices. Artificial intelligence has revolutionized customer engagement strategies across industries, particularly Banking. This study explores …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 87–92 Read article
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Assessment of the Post-Harvest Chicken Egg Handling Practices in Gamo and Konso Zones of South Ethiopia
Abstract: The study was conducted starting from September to December 2024 in two districts of South Ethiopia with the objective of assessing the prevailing post-harvest chicken egg handling practices, storage materials, duration of storage, and marketing in the rural household. An aggregate of 120 family units were selected randomly from selected peasant area and interviewed by pre-tested questionnaires. The collected data were analyzed by Statistical Package for Social Sciences (SPSS, 2010) …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 61–69 Read article
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E-commerce: What's Going on Now and What Will Happen in the Future
Abstract: The rapid expansion of e-commerce is changing the way people trade, shop, and do business all over the world. This article looks at the current trends that are impacting the digital marketplace, such as the expansion of mobile commerce, social commerce, personalisation driven by artificial intelligence, and the growing importance of ethical and sustainable consumer practices. It also looks at how new technologies like augmented reality, blockchain, and the Internet …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 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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Role and Importance of Machine Learning in Social Media
Abstract: The widespread adoption of social media platforms has transformed the way individuals interact and communicate. Going beyond personal connections, social media has evolved into a potent tool for sharing information, shaping ideas, and fostering participation across various industries. Machine learning is pivotal in enhancing social media's impact. Social media generates vast data daily, and machine learning is essential for extracting insights. Sentiment analysis, a machine learning application, identifies emotions in …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 23–30 Read article
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Design and Development of Agrobot Using Feed Forward Network for Smart Farming Agriculture
Abstract: The Agrobot framework is a form of natural language processing that requires training to understand human language and meet user needs accordingly. The development of a chatbot tailored for the agricultural industry represents a significant advancement in agricultural technology. This chatbot serves as an interactive tool to assist farmers in various aspects of agricultural practices, including crop management, pest control, weather forecasting, and market information. The main objective of this …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 6–14 Read article
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Market Architecture, an Effect of Roadside Trading in Port Harcourt Metropolis. A Case Study of Rumu-Woji Market, Rivers State, Nigeria
Abstract: The challenges of road side trading along major market roads in Port Harcourt Metropolis has brought about certain menace to the city. The efforts put in place by the Rivers State government to eradicate the act of roadside trading along market roads have been proven abortive. Various means employed by the government to stop the act of roadside trading have not been successful such as, relocation of traders, barricading market …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 1, 2025 · pp. 36–46 Read article
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Elevating Seamless Housing Navigation with Precise Recommendations for Personalized Rental Experiences
Abstract: The demand for rental housing has increased significantly in recent years, making more effective and individualized methods of housing navigation necessary. Renters become frustrated and ineffective when using traditional ways of researching rental houses since they frequently involve manual searches and little customization. By using sophisticated recommendation systems to deliver exact recommendations catered to user preferences, this research article suggests a novel way to improve house navigation. The proposed approach …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 50–62 Read article
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The Architecture of Creek Road Market and the Image of Port Harcourt Metropolis, Rivers State, Nigeria
Abstract: Marketplaces are seen as centers of attraction in every city. Therefore, the architecture of marketplaces should be given extensive attention to attract a positive image of the city. If the architecture of a market lacks functionality, it will affect the perception of the city. Often, market designers ignore the key users of the market space and focus on providing profit-oriented spaces. This leads to the spillover of trading activities by …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 13–24 Read article
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Study of the Trends and Customer Buying Behaviour in The Automobile (Car) Industry
Abstract: This study examines car buying behavior in India, one of the largest automotive markets globally, contributing significantly to the Gross Domestic Product (GDP). Understanding how consumers decide on car purchases is essential for manufacturers and marketers. The research involved a comprehensive methodology, including a literature review, questionnaire design, survey distribution, and data analysis, to gain insights into Indian car buyers' preferences and trends. The findings reveal that young adults, primarily …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 9–18 Read article
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Exploring Artificial Intelligence in the Finance Sector
Abstract: Artificial intelligence (AI), machine learning (ML), and progressive algorithms illustrate a substantial technological leap with wide applications across sectors like automobiles, healthcare, gaming, finance, entertainment, and more. The foremost objective of AI is to produce intelligent, independent systems capable of self-sustaining decision-making. This study delivers a concise summary of AI, concentrating on its transformative influence on finance, especially within banking, asset firms, derivatives markets, and insurance enterprises. It summarizes the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 16–23 Read article
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Data Mining for E-Commerce and Social Media: Insights and Future Research Directions
Abstract: The fast expansion of e-commerce and social media has heralded a new era of data-rich settings, with enormous quantities of user interactions, preferences, and transactions generated on a daily basis. Data mining has developed as a critical strategy for leveraging big datasets, allowing businesses to gain concrete knowledge and drive decision-making. Data mining in e-commerce improves operational efficiency and user pleasure by allowing for personalized recommendations, consumer segmentation, fraud detection, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 14–23 Read article
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New-Age E-voucher Utility: Redefining Peer-to-Peer Transactions in the Digital Economy
Abstract: This system introduces an innovative new-age e-voucher utility designed to facilitate peer-to-peer (P2P) intake through a person-pleasant cell platform. This revolutionary answer empowers people to create and list e-vouchers for numerous services, experiences, or bodily goods, circumventing conventional channels and fostering an extra direct financial machine. Operating on a decentralized architecture, the utility guarantees stable transactions through fee gateways and contains a recognition machine to set up acceptance as true …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 36–46 Read article