Daily Archives: April 28, 2026

Authors: Assistant Professor Mr. Eknath Prasath M, Mr. Vasanth Kumar S.

Abstract: Marketing strategies play a significant role in influencing consumer behaviour and shaping purchasing decisions in modern markets. Businesses operating in competitive environments must adopt effective marketing techniques to attract customers and maintain long-term relationships. Understanding consumer behaviour is essential for organizations to develop products, pricing strategies, promotional activities, and distribution systems that satisfy customer needs. This study aims to analyze marketing strategies and examine consumer behaviour with special reference to Coimbatore district. The research focuses on the factors that influence consumer buying decisions, the role of digital marketing, and the effectiveness of promotional strategies adopted by businesses in the region. The study mainly relies on secondary data collected from journals, research articles, and online sources. The findings suggest that marketing strategies such as branding, advertising, pricing policies, and digital promotions significantly influence consumer purchase behaviour in Coimbatore. Factors such as brand reputation, product quality, promotional offers, and social media marketing play a crucial role in shaping consumer preferences. The study also highlights the growing importance of digital platforms in influencing consumer decision-making.

DOI: https://zenodo.org/records/19865755

Published by: vikaspatanker

Authors: Prof. Vikas More, Sagar Mahajan, Yash Kadam, Yuvraj Singh, Yashraj Khandar

Abstract: In the modern banking environment, customer experience has become a critical factor influencing customer satisfaction, loyalty, and overall business performance. With the rapid advancement of digital technologies and increasing competition in the financial sector, banks are required to move beyond traditional service models and adopt customer-centric approaches. This study focuses on enhancing customer experience in the Indian banking sector through the application of business analytics and the development of a personalization framework. The primary objective of this research is to analyze how business analytics can be used to understand customer behavior and improve service delivery. The study also aims to identify customer expectations regarding personalized banking services and to examine the existing gaps in service quality. Primary data for the study was collected through a structured questionnaire administered to 50 respondents. The collected data was analyzed using simple statistical tools such as percentages and pie charts to derive meaningful insights. The findings of the study reveal that while customers are generally satisfied with banking services, there is a significant demand for personalized services. Most respondents expressed that banks do not fully understand their needs and expect more customized offerings. The study also highlights that digital banking, particularly mobile banking, is widely preferred due to its convenience and accessibility.

Published by: vikaspatanker

Authors: Dr. G. Arutgeevitha, Mr. M. Kavin Kumar

Abstract: The role of Artificial Intelligence in customer segmentation and target marketing has gained significant importance in the modern business environment. This study examines how AI technologies such as machine learning, predictive analytics, and data mining enhance the accuracy and efficiency of identifying customer groups and delivering targeted marketing strategies. AI enables organizations to analyze large volumes of customer data, identify patterns, and predict consumer behavior, leading to more personalized marketing efforts. The study also explores the benefits and challenges associated with AI adoption in marketing practices, highlighting its impact on improving customer engagement, conversion rates, and overall marketing performance.

DOI: https://zenodo.org/records/19865248

Published by: vikaspatanker

Authors: Ashita Chhabra, Ansh Popli, Jaskirat Kaur, Ansh Rehan

Abstract: The rising popularity of AI chatbots in the sphere of education is transforming the learning experience of children and the manner in which educators provide academic assistance. They offer personalized feedback and flexible assistance, interactive and interactive learning experiences, which can increase motivation and increase accessibility of learning. However, their growing incorporation into child,oriented education brings about myriad of moral, mental and safety issues. Other ethical concerns of the use of AI chatbot also feature in the paper as comprising academic dishonesty, unfairness and algorithm favoritism. It however, also researches a mental outlook on the excessive use of automatic reactions, and the loss of critical analytic faculties, creativity, and independent learning capability, in society. Finally, the paper concludes with security issues, which are the vulnerabilities of data security, misinformation and transparency in AI. The findings suggest that in the realm of digital learning, there is need to employ conscientious methods of AI technology to ensure the well,being of children is not jeopardized and this could be made possible through appropriate data protection, ethical practices and child-centered policies. Although the positive side of the application of AI chatbots in education is obvious, it is also important to define the way the latter should be applied in a responsible manner.

Published by: vikaspatanker

Authors: Assistant Professor Ms.G. Revathi, Mr. Gowtham MR

Abstract: The transformation of food consumption patterns has become a significant subject of study in the field of marketing and consumer behavior. This research investigates the shift in consumer preference from traditional staple grains such as rice and wheat to nutrient-rich millets in Coimbatore city. The study aims to analyze awareness levels, key influencing factors, and consumer purchasing behavior towards millet-based products. A descriptive research design has been adopted, with primary data collected from 100 respondents through structured questionnaires. The findings indicate that increasing health consciousness, rising incidence of lifestyle diseases, medical recommendations, and media influence are the primary drivers behind this shift. Consumers perceive millets as a healthier alternative due to their high fiber, mineral content, and low glycemic index. Despite growing acceptance, challenges such as pricing, limited accessibility, and lack of awareness in certain segments still persist. The study concludes that millets possess strong market potential and represent an emerging segment in the food industry. Strategic marketing, awareness campaigns, and supply chain improvements can further accelerate this transition

DOI: https://zenodo.org/records/19864623

Published by: vikaspatanker

Authors: Assistant Professor Ms.J.Abinaya, Mr. M. Dhilipkarna

Abstract: Customer Relationship and Service Management in digital insurance platforms has become a critical area of study due to the rapid digital transformation of the insurance industry. This study focuses on how digital platforms enhance customer engagement, streamline service delivery, and improve overall customer satisfaction through the use of advanced technologies such as artificial intelligence, chatbots, and data analytics. It examines the effectiveness of digital tools in managing customer relationships, addressing grievances, and ensuring seamless communication. The study also highlights the challenges faced by insurers in maintaining personalized interactions while operating in a digital environment. Overall, it emphasizes the growing importance of technology-driven service management in building long-term customer loyalty and competitive advantage in the insurance sector.

DOI: https://zenodo.org/records/19864230

Published by: vikaspatanker

Authors: Mrs. Swathi M, Ms. Anushka N

Abstract: This study examines the role of Artificial Intelligence (AI) in enhancing social media monitoring, with a focus on businesses in Coimbatore district. AI technologies such as sentiment analysis, machine learning algorithms, and automated data analytics help organizations track online mentions, understand consumer behavior, and manage brand reputation effectively. The research investigates how businesses are adopting AI-driven social media monitoring tools, the benefits they achieve in marketing and customer engagement, and the challenges faced during implementation. The findings highlight the importance of AI in modern social media management and provide strategies for effective adoption. Results indicate that AI-driven monitoring significantly improves decision-making, enhances brand perception, and strengthens competitive advantage.

DOI: https://zenodo.org/records/19863709

Published by: vikaspatanker

Authors: Nana Boa Benfor, Zhang Aiqiang, Isyaku Muhammad, Kelvin Gyamfi Boadu

Abstract: Smart homes are swiftly evolving into intelligent, autonomous ecosystems that improve home comfort, security, and energy efficiency. The integration of intelligent sensors, aided by the Internet of Things (IoT), artificial intelligence (AI), and sophisticated wireless communication protocols, is key to this change. This paper provides a comprehensive overview of the types, functions, and applications of intelligent sensors in smart homes, including motion detection, energy management, indoor air quality monitoring, moisture and leak detection, and flame and dangerous gas detection. Edge/fog computing, cloud platforms, and federated learning technologies that enable intelligent sensing are rigorously studied, along with system-level architectures that support seamless automation. Despite the potential, issues such as data privacy, interoperability, system stability, and the limitations of low-cost sensors remain. This study emphasizes on future research approaches focused on robust security frameworks, decentralized intelligence via federated learning, and improved sensor accuracy, all of which aim to achieve scalable, resilient, and truly intelligent smart homes.

DOI: https://doi.org/10.5281/zenodo.19861721

Published by: vikaspatanker

Authors: Nagender Yamsani

Abstract: Organizations that rely on enterprise master data platforms often encounter persistent limitations in metadata quality, particularly in areas such as semantic clarity, contextual relevance, and cross domain interpretability. This study examines the use of natural language processing to enable context aware metadata enrichment within EBX repositories, addressing the challenge of transforming fragmented descriptive fields into structured, meaningful knowledge assets. The purpose of this research is to design and evaluate a systematic enrichment approach that can interpret textual attributes, infer relationships, and enhance metadata usability for governance, integration, and analytics. A mixed research method was applied, combining architectural modeling, controlled prototype implementation, and qualitative assessment of stewardship workflows in simulated enterprise scenarios. Observed outcomes demonstrate measurable improvements in classification consistency, metadata coverage, and retrieval efficiency, while also reducing dependence on manual interpretation. The proposed framework introduces a scalable enrichment pipeline that integrates linguistic analysis, semantic mapping, and governance driven validation within the operational lifecycle of EBX master data. This study argues that embedding language aware intelligence into metadata management practices can significantly strengthen data reliability and transparency. The findings provide a foundation for future research on semantic infrastructure in enterprise data ecosystems and offer practical guidance for organizations seeking to modernize metadata governance in complex master data environments.

DOI: https://doi.org/10.5281/zenodo.19849787

Published by: vikaspatanker

Authors: Aviraj Sanjay zure, Tushar ravsaheb shingade , Vinay Vilas patil , Abhishek Mallinath Sutar , Sonali Mahadev Patil , vaishnavi Deepak Pawar , Anita Rangrao Pujari

Abstract: Current advancements in the treatment of Parkinson’s disease (PD) are shifting from purely symptomatic management to a dual approach: refining the delivery of existing dopaminergic therapies and developing experimental disease-modifying and neurorestorative interventions. While levodopa remains the gold standard, its long-term use is complicated by motor fluctuations and dyskinesia, prompting the development of novel delivery systems like continuous subcutaneous infusions (e.g., Vyalev and Onapgo) and inhaled levodopa to provide steadier symptom control. Simultaneously, emerging therapies including stem cell transplantation (e.g., bemdaneprocel), gene therapy (e.g., AB-1005), and immunotherapy targeting -synuclein are advancing through late-stage clinical trials with the goal of replacing lost neurons or halting disease progression.

Published by: vikaspatanker