The Convergence of CRM, Data Engineering, and AI: Creating Intelligent Customer Intelligence Platforms
DOI:
https://doi.org/10.63282/3117-5481/AIJCST-V8I1P107Keywords:
Customer Relationship Management (CRM), Data Engineering, Artificial Intelligence (AI), Customer Intelligence Platform (CIP), Machine Learning, Predictive Analytics, Customer 360, Data IntegrationAbstract
As companies increasingly depend on data for their decision-making, combining Customer Relationship Management (CRM), Data Engineering, and Artificial Intelligence (AI) is transforming traditional customer management systems into smart customer intelligence platforms. These platforms not only reveal deeper insights but also are able to predict future events and personalize the customer experience. For decades, CRM systems have normally functioned as storage places for customer interaction records. Yet, a lot of businesses still experience problems such as disjointed data, poor data quality, and a lack of integration between their main systems and analytics. Actually, these issues lead to a big gap between gathering data and making decisions based on data. This paper aims to discuss this problem by revealing that: 1) combining official data engineering methodologies with AI technologies can significantly enhance CRM systems; 2) such integration helps firms acquire useful, real-time customer data. Besides, it presents a framework that unites scalable data pipelines, cloud-based data architectures, machine learning models, and AI-powered decision-making support in CRM environments for improving customer interaction, operational efficiency, and business performance. Whereas, it also underlines how simple it is to bring together data consolidation, automated data transformation, predictive analytics, and continuous learning that evolve along with customer behavior. Based on qualitative and conceptual research, this paper is supported by the case of a customer-centric company undergoing digital transformation. The case demonstrates that the combination of CRM, proficient data engineering, and AI capability is an effective tactic in customer segmentation, demand forecasting, churn prediction, and personalized service. The study shows that those companies which have transitioned to an integrated platform based on the above three components witness data reliability at a much higher level, quicker decision-making, better customer satisfaction, and enhanced strategic planning in comparison with those which only rely on traditional CRM systems.
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