Leveraging AI for Personalization and Cybersecurity in Retail Chains: Balancing Customer Experience and Data Protection
Abstract
Personalization in retail is increasingly driven by AI, but this comes with significant concerns about data security. This paper explores the dual role of AI in personalizing customer experiences while ensuring robust cybersecurity measures. By analyzing the balance between personalized recommendations and safeguarding consumer data, the study reviews existing AI algorithms used in recommendation systems and their vulnerabilities to cyberattacks. We propose a hybrid AI model that combines advanced personalization techniques with real-time cybersecurity protocols to create a secure yet personalized retail environment.
References
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2021). Machine Learning in SAP Workflows: A Study of Predictive Analytics and Automation. Transactions on Latest Trends in Artificial Intelligence, 2(2).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2021). Machine Learning Models for Optimizing SAP-Based Data Processing in Cloud Environments. International Journal of Sustainable Development in Computing Science, 3(3).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2022). Advanced Business Analytics Using Machine Learning and Cloud-Based Data Integration. International Scientific Journal for Research, 4(4).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2023). AI-Driven Business Analytics Framework for Data Integration Across Hybrid Cloud Systems. Transactions on Latest Trends in Artificial Intelligence, 4(4).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2023). Integrating AI and Cloud Computing for Scalable Business Analytics in Enterprise Systems. International Journal of Sustainable Development in Computing Science, 5(3).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2023). Enhancing Data Integration Using AI and ML Techniques for Real-Time Analytics. International Journal of Machine Learning for Sustainable Development, 5(3).
Raghunath (2024), "Security Issues Analysis Based on Big Data in Cloud Computing," World Journal of Advanced Research and Reviews, vol. 23, no. 3, pp. 2549-2557, 2024.
Raghunath (2024), "Analysis on Addressing the Threats to Cloud Computing on the Basis of Security Safeguards for SAP Cloud Services," World Journal of Advanced Research and Reviews, vol. 23, no. 3, pp. 2539-2548, 2024.
Reddy, R. (2022). Innovations in Agricultural Machinery: Assessing the Impact of Advanced Technologies on Farm Efficiency. Journal of Artificial Intelligence and Big Data, 2(1), 10-31586.
Reddy, R. (2020). Predictive modeling with AI and ML for small business health plans: Improving employee health outcomes and reducing costs. Available at SSRN 5018069.
Reddy, R. (2022). Application of neural networks in optimizing health outcomes in Medicare Advantage and supplement plans. Available at SSRN 5031287.
Danda, R. R. (2024). Generative AI in Designing Family Health Plans: Balancing Personalized Coverage and Affordability. Utilitas Mathematica, 121, 316-332.
Danda, R. R. (2024). Financial Services in the Capital Goods Sector: Analyzing Financing Solutions for Equipment Acquisition. Library Progress International, 44(3), 25066-25075.
Danda, R. R., Nishanth, A., Yasmeen, Z., & Kumar, K. (2024). AI and Deep Learning Techniques for Health Plan Satisfaction Analysis and Utilization Patterns in Group Policies. International Journal of Medical Toxicology & Legal Medicine, 27(2).
Mandala, G., Danda, R. R., Nishanth, A., Yasmeen, Z., & Maguluri, K. K. (2023). AI AND ML IN HEALTHCARE: REDEFINING DIAGNOSTICS. TREATMENT, AND PERSONALIZED MEDICINE.
Danda, R. R. (2022). Telehealth In Medicare Plans: Leveraging AI For Improved Accessibility And Senior Care Quality. Migration Letters, 19(6), 999-1009.
Danda, R. R. (2022). Deep Learning Approaches For Cost-Benefit Analysis Of Vision And Dental Coverage In Comprehensive Health Plans. Migration Letters, 19(6), 1103-1118.
Danda, R. R. (2024). Generative AI for Enhanced Engagement in Digital Wellness Programs: A Predictive Approach to Health Outcomes. Journal of Computational Analysis and Applications, 33(8).
Reddy, R. (2024). Using AI-Powered Analysis for Optimizing Prescription Drug Plans among Seniors: Trends and Future Directions. Available at SSRN 5030140.
Reddy, R. (2024). The Role of Machine Learning Algorithms in Enhancing Wellness Programs and Reducing Healthcare Costs. Available at SSRN 5031302.
Reddy, R. (2015). Digital Transformation In Agriculture: The Role Of Precision Farming Technologies. Nanotechnology Perceptions, 19, 91-102.
Davuluri, M. (2024). AI in Healthcare Fraud Detection: Ensuring Integrity in Medical Billing. International Machine learning journal and Computer Engineering, 7(7).
Davuluri, M. (2024). AI in Geriatric Care: Supporting an Aging Population. International Numeric Journal of Machine Learning and Robots, 8(8).
Davuluri, M. (2023). AI for Healthcare Workflow Optimization: Reducing Burnout and Enhancing Efficiency. International Numeric Journal of Machine Learning and Robots, 7(7).
Davuluri, M. (2023). AI in Surgical Assistance: Enhancing Precision and Outcomes. International Machine learning journal and Computer Engineering, 6(6).
Davuluri, M. (2022). AI in Mental Health: Transforming Diagnosis and Therapy. International Machine learning journal and Computer Engineering, 5(5).
Vattikuti, M. C. (2024). Transfer Learning for Early Diagnosis of Rare Diseases Using Medical Imaging. Transactions on Recent Developments in Artificial Intelligence and Machine Learning, 16(16).
Vattikuti, M. C. (2024). Natural Language Processing for Automated Legal Document Analysis and Contract Review. International Journal of Sustainable Devlopment in field of IT, 16(16).
Vattikuti, M. C. (2023). Real-Time Anomaly Detection in Industrial IoT Systems Using Hybrid AI Models. International Scientific Journal for Research, 5(5).
Vattikuti, M. C. (2023). Ethical AI Framework for Bias Mitigation in Machine Learning Algorithms. International Scientific Journal for Research, 5(5).
Vattikuti, M. C. (2022). Federated Learning for Privacy-Preserving AI in Healthcare Applications. International Transactions in Artificial Intelligence, 6(6).
Deekshith, A. (2019). Integrating AI and Data Engineering: Building Robust Pipelines for Real-Time Data Analytics. International Journal of Sustainable Development in Computing Science, 1(3), 1-35.
Deekshith, A. (2020). AI-Enhanced Data Science: Techniques for Improved Data Visualization and Interpretation. International Journal of Creative Research In Computer Technology and Design, 2(2).
Deekshith, A. (2021). Data engineering for AI: Optimizing data quality and accessibility for machine learning models. International Journal of Management Education for Sustainable Development, 4(4), 1-33.
Deekshith, A. (2022). Cross-Disciplinary Approaches: The Role of Data Science in Developing AI-Driven Solutions for Business Intelligence. International Machine learning journal and Computer Engineering, 5(5).
Deekshith, A. (2023). Scalable Machine Learning: Techniques for Managing Data Volume and Velocity in AI Applications. International Scientific Journal for Research, 5(5).
Mane, S., & Immidi, K. (2024). Strategic Insights and Best Practices for Upgrading to SAP S/4HANA: A Comprehensive Framework for Business Transformation. International Journal of Creative Research In Computer Technology and Design, 6(6).
Mane, S. (2024). Optimizing Returns and Refunds Management in SAP: Leveraging Data-Driven Insights and Advanced Automation. International Journal of Machine Learning and Artificial Intelligence, 5(5), 1-13.
Mane, S., & Immidi, K. (2023). Enhancing SAP Available-to-Promise (ATP) Capabilities through AI Integration: A Transformative Approach to Supply Chain Optimization. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-24.
Mane, S. (2023). Optimizing SAP Sales Order Processing: Strategies, Technologies, and Impact on Operational Efficiency. International Journal of Interdisciplinary Finance Insights, 2(2), 1-32.
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2020). Optimizing SAP Data Processing with Machine Learning Algorithms in Cloud Environments. International Transactions in Artificial Intelligence, 4(4).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2020). Artificial Intelligence in Business Analytics: Cloud-Based Strategies for Data Processing and Integration. International Journal of Sustainable Development in Computing Science, 2(4).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2020). Scalable Data Processing Pipelines: The Role of AI and Cloud Computing. International Scientific Journal for Research, 2(2).
Raghunath, V., Kunkulagunta, M., & Nadella, G. S. (2021). Leveraging Cloud Computing for Efficient Data Processing in SAP Enterprise Solutions. International Journal of Machine Learning for Sustainable Development, 3(4).
