In the competitive telecom industry, delivering personalized and effective marketing is crucial. Our project leverages a Large User Model (LUM) to enhance decision intelligence and drive smarter marketing. By integrating O-domain, B-domain, and third-party data, we create a comprehensive customer view, enabling highly targeted and personalized solutions. Our solution uses advanced AI algorithms to analyze customer behavior, preferences, and needs in real-time, automating complex workflows. For example, by combining OSS, BSS, and social media data, we identified high-value 4G users ready for 5G upgrades, where adding a specialized voice package for couriers significantly increased 5G adoption. Additionally, our solution using graph analysis and machine learning, boosted marketing conversion rates by 35% in package push scenarios. The business value is clear: enhanced operational efficiency, improved customer retention, and revenue growth through more effective campaigns. By combining multi-domain data, intelligent marketing, and decision intelligence, we help CSPs stay ahead in a fast-evolving market. Effective marketing management is a critical business challenge for Communication Service Providers (CSPs). Traditional methods often rely on manual processes and limited data sources, leading to suboptimal customer experiences and missed business opportunities. By addressing this challenge, CSPs can achieve significant improvements in customer retention, operational efficiency, and revenue growth. According to Gartner, CSPs that implement advanced marketing intelligence and automation solutions see a 20% increase in customer retention rates and a 15% improvement in operational efficiency. Leading CSP, faced significant challenges in managing customer journeys due to the complexity of their operations and the vast amount of data generated daily. They needed a solution that could provide real-time insights, automate marketing processes, and personalize customer interactions. By implementing our LLM solution, CSP was able to: 1. Improve Customer Retention: The LLM-driven model identified high-risk churn customers and provided targeted interventions, resulting in an increase in retention rates. 2. Enhance Operational Efficiency: Automated workflows and real-time event detection reduced the time required for marketing activity planning from 2 days to 2 hours, achieving a 20x improvement in efficiency. 3. Increase Revenue Growth: Personalized marketing campaigns and optimized customer experiences led to a increase in revenue. “Digital transformation is about more than just automating operations; it’s about empowering our teams and delivering greater value to our customers. Bridging the gap between the business and service layers allows us to complete the closed-loop process like marketing, ensuring business intents directly drive outcomes across the entire value chain. This is the next frontier for CSPs.” Quoted by China Unicom