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@article{184207,
        author = {Malli Temburu},
        title = {The Power of Automation in Banking: Implementing Alert Notification Systems for Proactive Customer Communication},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {1194-1207},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184207},
        abstract = {The banking industry has increasingly turned to automation to enhance customer service, improve operational efficiency, and mitigate risks. This review focuses on the role of automated alert notification systems in providing proactive customer communication, emphasizing the integration of transactional, behavioral, and external data sources. By exploring the Integrated Data-Driven Alert Notification Model (IDANM), this paper compares the proposed model with existing systems, such as rule-based and transaction-based models, to assess improvements in predictive accuracy, personalization, and overall effectiveness. The review highlights the potential impact of the IDANM on customer satisfaction, operational efficiency, and fraud prevention. Furthermore, it discusses the implications for practitioners and policymakers, offering recommendations for future research, particularly in areas like predictive analytics, customer feedback, regulatory concerns, and the integration of emerging technologies. The findings suggest that the IDANM has the potential to revolutionize customer communication in banking by offering more relevant, timely, and personalized alerts that improve both customer engagement and bank operations.},
        keywords = {Automation, Banking, Alert Notification Systems, Proactive Communication, Predictive Analytics, Customer Engagement, Data Integration, Machine Learning, Fraud Prevention, IDANM, Personalized Alerts, Regulatory Compliance, Future Research.},
        month = {September},
        }