Page 181 - Emerging Trends and Innovations in Web-Based Applications and Technologies
P. 181
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
3. Image Recognition Technology: Integrating state-of- [8] Cedazo-Minguez, A., and B. Winblad. "Biomarkers for
the-art image recognition tools can significantly improve Alzheimer’s Disease and Other Forms of Dementia:
the accuracy and efficiency of product listings. Clinical Needs, Limitations, and Future Aspects."
Automatic categorization, detailed condition Experimental Gerontology, vol. 45, no. 1, pp. 5–14,
assessments, and counterfeit detection mechanisms will 2010.
enhance trust and operational efficiency within the [9] Fang, G., et al. "A Machine Learning Approach to Select
marketplace.
Features Important to Stroke Prognosis."
4. Machine Learning for Fraud Detection: Expanding the Computational Biology and Chemistry, vol. 88, pp.
application of machine learning algorithms for fraud 107316, 2020.
detection can further secure the platform. These systems [10] Alatas, Bilal, et al. (2022). "Identification of Novel
can proactively identify anomalies in user behavior,
Noninvasive Diagnostics Biomarkers in Parkinson’s
product listings, and transactional patterns, thereby
Disease and Improving the Disease Classification
mitigating risks and ensuring a safer marketplace
Using Support Vector Machine," BioMed Research
environment.
International.
5. Automated Negotiations: Introducing AI-driven [11] Perez, A., et al. (2024). "AI-Driven Solutions for Fraud
automated negotiation tools will optimize the bargaining Detection in Online Marketplaces." Journal of E-
process. These systems can analyze market trends, Commerce Security, 18(2), 99-112.
product conditions, and historical pricing data to suggest
equitable and efficient pricing outcomes for buyers and [12] Rahman, S., et al. (2023). "The Role of Big Data
Analytics in Enhancing Supply Chain Efficiency for
sellers.
Second-Hand Goods." Journal of Supply Chain
6. Real-Time Supply-Demand Analytics: Employing real- Analytics, 12(4), 225-240.
time analytics to monitor and predict supply and [13]
demand fluctuations will enable the platform to adapt Taylor, B., et al. (2022). "Gamification Strategies for
dynamically to emerging trends. This capability can also User Engagement in Digital Marketplaces." Journal of
support inventory management, enhance forecasting Interactive Marketing, 35(6), 315-328.
accuracy, and improve service delivery for all [14] Wong, K., et al. (2023). "User Trust and Satisfaction in
stakeholders. AI-Powered Online Marketplaces." International
Journal of Consumer Research, 45(3), 178-194.
These advancements will fortify Quick Mart's position as a
frontrunner in the domain of smart marketplaces for used [15] Garcia, M., et al. (2024). "Data Privacy Challenges in
goods. By harnessing cutting-edge technologies, Quick Mart Online Marketplaces: A Focus on Second-Hand
can provide a smarter, faster, and more efficient platform Platforms." Journal of Digital Privacy, 29(2), 67-84.
that meets the evolving needs of users while setting new [16] Patel, N., & Sharma, R. (2023). "Real-Time Analytics
standards in second-hand commerce.
for Enhancing User Experience in Smart
REFERENCES Marketplaces." Journal of Market Intelligence, 21(5),
[1] Smith, J., et al. (2024). "Leveraging AI and IoT for 134-150.
Efficient Transactions in Second-Hand Marketplaces." [17] Jones, D., et al. (2022). "Dynamic Pricing Models in
Journal of Smart Retail Technology, 15(3), 245-260.
Peer-to-Peer Retail Platforms." Journal of Economic
[2] Lee, M., et al. (2023). "AI-Powered Price Optimization Innovations, 18(4), 305-319.
in Online Second-Hand Marketplaces." International [18] Kumar, R., & Verma, S. (2023). "Leveraging Natural
Journal of E-Commerce Technology, 22(4), 305-318. Language Processing for Fraud Detection in E-
[3] Zhang, Y., et al. (2023). "Blockchain for Trust and Commerce." Journal of AI in Retail, 12(3), 201-217.
Transparency in Peer-to-Peer Marketplaces." Journal [19] Hernandez, L., et al. (2023). "The Impact of Mobile
of Digital Innovation, 18(2), 135-148. Technologies on Second-Hand Marketplace Growth."
[4] Nguyen, T., & Patel, R. (2024). "Enhancing Customer Journal of Mobile Commerce, 15(1), 45-60.
Experience in Second-Hand Markets with Smart [20] Wang, T., & Lin, Y. (2023). "Sustainability and User
Solutions." Journal of Consumer Behavior and Engagement in Digital Marketplaces: The Role of AI."
Technology, 30(1), 57-72. Journal of Sustainable Digital Practices, 8(6), 299-315.
[5] Tan, S., & Lee, J. (2022). "Optimizing Inventory [21] Greenfield, A., et al. (2024). "Blockchain Integration
Management Using IoT in Second-Hand Retail." for Smart Contract Efficiency in Second-Hand
Journal of Retail Technology & Operations, 14(5),
Commerce." Journal of Blockchain Applications, 14(2),
189-202.
55-72.
[6] Kumar, A., et al. (2023). "Sustainable Practices and [22] Singh, P., & Rao, K. (2023). "Adaptive Learning Models
Market Growth in Second-Hand Online Platforms." for Enhanced Product Recommendations in Smart
Sustainability and Business Journal, 10(6), 405-420. Marketplaces." Journal of Artificial Intelligence
[7] Sultan, Hossam H., Nancy M. Salem, and Walid Applications, 20(3), 189-206.
AlAtabany. "Multi-classification of Brain Tumor [23] Diaz, R., et al. (2024). "IoT-Enabled Monitoring for
Images Using Deep Neural Networks." IEEE Access 7 Real-Time Fraud Prevention in Online Marketplaces."
(2019): 69215-69225. Internet of Things Journal, 18(1), 123-140.
IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 171