Master Data Solution: Customer Master Data Management with LLMs

Abstract

Customer Master Data Management (CMDM) serves as a critical operational foundation for enterprises because it enables consistent accurate customer data management across all organizational systems. The current CMDM systems face multiple problems because they fail to sustain high data quality standards and handle expanding operations and unorganized data entries. The research develops an advanced CMDM system which uses domain-specific Large Language Models (LLMs) that receive training from organizational customer data. The system unites LLM-based intelligence with a multi-model framework to deliver superior standardization and validation and enrichment functions. The Human-in-the-Loop (HITL) governance model maintains compliance and accuracy standards through ongoing improvement processes. The system unites better data quality with intelligent customer analytics to create foundations for AI-driven business growth.