SMART CRP USING AI: ENHANCING CUSTOMER RELATIONSHIP PLATFORM WITH ARTIFICIAL INTELLIGENCE
Keywords:
Artificial Intelligence (AI), Customer Interaction Platform, Predictive Analytics, Data Integration, ETL Processing, Data Warehouse, Distributed SystemsAbstract
Customer Relationship Platforms (CRP) are essential tools for managing customer interactions, but traditional systems often fall short in handling the exponential growth of data and the need for real-time insights. This manuscript explores the transformative potential of integrating Artificial Intelligence (AI) into CRP systems, presenting a model for evolving conventional CRP into smart, autonomous solutions. By leveraging AI technologies such as Machine Learning, Natural Language Processing (NLP), and Predictive Analytics, businesses can enhance data processing, automate routine tasks, and deliver personalized customer experiences. The proposed Smart CRP architecture integrates real-time data processing, advanced Data Integration ETL pipelines, scalable data warehousing, automated customer segmentation, predictive modeling, and NLP capabilities. This paper outlines the benefits, challenges, and implementation strategies associated with AI-powered CRP systems, supported by case studies and a detailed architectural model. Future research directions include expanding API integrations, developing advanced AI models, and enhancing transparency and scalability of AI-driven CRP solutions.
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Copyright (c) 2024 Koushik Kumar Ganeeb, Vivekananda Jayaram, Manjunatha Sughaturu Krishnappa, Shenson Joseph, Jayaprakash Sundararaj (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
