Digital Twin enhanced decision intelligence for intelligent marketing
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
