E-COMMERCE FOR FUTURE & TRENDS

Health Center Administration System

Vatsal Trivedi — 2023-12-18

In the contemporary fitness landscape, the efficient administration of gyms and fitness centers is pivotal for delivering exceptional member experiences and sustaining business growth. This project presents a comprehensive Gym Management System tailored to streamline operational processes and enhance member engagement. By seamlessly integrating member registration, class scheduling, health monitoring, and financial management, our project offers an innovative solution that empowers gym administrators and enriches the fitness journey of members. Through the utilization of modern web technologies and user-centric design, this project contributes to the effectiveness and success of fitness establishments by simplifying tasks, optimizing resource allocation, and providing insightful analytics for informed decision-making.

TryOniverse: Digital Dressing Room

Sneha Shelke — 2023-12-18

The rapid advancement of technology has led to a significant surge in online shopping, commonly referred to as e-shopping, on a global scale. This evolution in the shopping landscape allows consumers to make purchases conveniently from anywhere and at any time. While the advantages of e-shopping are evident, a notable challenge arises in the form of limited opportunities for online shoppers to physically try on clothing items, presenting a major drawback to the overall shopping experience. Hence, a virtual fitting room using AR is proposed to be developed as a mobile application to allow shoppers to visualize how clothing looks and fits on their bodies without wearing it actually. This initiative aims to enhance the shopping journey for consumers by offering a virtual try-on experience, allowing them to assess clothing for size, fit, and style. The system incorporates augmented reality (AR), human body detection, and motion tracking technologies to dynamically adapt garment models to the user's body in real-time, leveraging the smartphone camera to monitor the user's movements. Pose estimation models are employed to recognize, detect, and track body skeleton-joint positions, while analysis and interpretation of body and garment measurements contribute to seamlessly aligning virtual garments with the user's physique.

Systematic Literature Review on Web Services in E-commerce and Business Communication

Syeda Wajiha Zahra — 2023-11-03

This systematic literature review (SLR) provides a comprehensive analysis of existing research on the role of web services in e-commerce and business communication. In today's rapidly evolving digital landscape, web services have become indispensable for facilitating seamless transactions and effective communication in contemporary business practices. This study aims to uncover web services' specific impacts and implications in this dynamic field by synthesizing various scholarly articles. By examining key findings, emerging trends, and challenges, this SLR offers precise insights that contribute to a deeper understanding of the intricate relationship between web services, e-commerce, and business communication. The synthesized knowledge presented in this review can guide practitioners, researchers, and stakeholders in harnessing the full potential of web services within their respective domains.

Revolutionising Marketing: Leveraging Blockchain and AI for Impactful Management

Sadat Karim — 2023-10-28

In today's rapidly evolving business landscape, marketing management faces numerous challenges, including effective decision-making, customer engagement, and data security. Advanced technologies like AI and Blockchain have revolutionized the marketing domain, providing novel solutions to address these challenges. AI plays an essential role in marketing management through its utilization of data analysis, predictive modelling, and automation, providing marketers with the ability to extract valuable insights from extensive data sources, facilitating data-informed decision-making. Furthermore, AI-driven chatbots and virtual assistants enhance customer interactions, making them more efficient and tailored, ultimately enhancing customer engagement and contentment. The combination of AI and marketing automation enhances operational efficiency, streamlines workflows, and enables real-time monitoring and optimization of marketing campaigns. Utilizing blockchain technology in marketing management establishes a decentralized and transparent platform that guarantees data integrity, security, and fosters trust among all parties involved. Through the implementation of blockchain, marketers can safeguard customer data, mitigate the risk of data breaches, and cultivate confidence among their clientele. Blockchain-enabled smart contracts facilitate secure and automated execution of marketing agreements, eliminating intermediaries and reducing transaction costs. Blockchain-based loyalty programs enable seamless and secure reward distribution, enhancing customer loyalty and retention. However, the integration of AI and Blockchain technology presents significant opportunities for businesses to gain a competitive edge in the digital era. By leveraging AI's data analytics and automation capabilities and Blockchain's data integrity and security features, organizations can make informed decisions, personalize marketing campaigns, build customer trust, and enhance operational efficiency. Future research should focus on addressing ethical concerns and technical challenges to maximize the benefits of AI and Blockchain in marketing management.

E-commerce Payment Processing with Real-time Account Updater

Vandana Sharma — 2023-10-09

Returning shoppers on an ecommerce website sometimes does not maintain the latest card information like updating the expired credit card, removing the closed credit card and updating it with a new card. This results in failed transactions leading to poor user experience and resulting in abandonment of the shopping cart. To solve this issue, popular payment processors provide a solution called Real-time account updater; this feature helps to keep customer account information up to date in real-time. It ensures that recurring payments, subscriptions, and other financial transactions continue to be processed without interruption, even when a customer’s account details change (such as a new credit card number or expiration date).

Stock Price Prediction Using Data Science Techniques

P. Kavipriya — 2023-09-02

This study centers around persuasively presenting the potential to forecast the stability of future market stocks. Previous research has delved into predicting the trajectory of future market trends, leading to fluctuations in stock data, which opens avenues for refinement. The proposed model employs data science methodologies to predict the stock price index's value. This is achieved by contrasting supervised classification data science learning algorithms that predict either stock price increases or stable states. Furthermore, the research aims to differentiate and meticulously analyze the effectiveness of diverse data science algorithms, utilizing data from the transportation traffic department. To gauge the proposed data science approach's effectiveness, the investigation utilized techniques such as constructing a confusion matrix, assigning significance to data classification, and benchmarking the outcomes against optimal precision, recall, and F1 scores.