Rakuten Symphony is a global telecom technology platform focused on transforming telecom operations using AI, automation, cloud-native infrastructure, and predictive intelligence. The organization manages large-scale telecom workflows across network operations, site management, project intelligence, and RAN optimization
Problem: traditional telecom operations limit operational efficiency
Telecom operations relied on disconnected systems, manual workflows, and reactive processes across network operations, site qualification, project forecasting, and installation audits. Although Rakuten had existing operational platforms, the ecosystem lacked predictive intelligence, conversational AI, intelligent orchestration, and real-time recommendation capabilities.
The system struggled with multi-domain telecom analysis, proactive network optimization, and automated risk forecasting. As a result, teams faced operational delays, slower decision-making, inefficient resource allocation, and limited scalability across telecom workflows.
Solution: conversational AI telecom intelligence platform for telecom operations
Rakuten developed a unified Gen AI-powered telecom intelligence ecosystem using conversational AI, predictive analytics, AI orchestration frameworks, and intelligent workflow automation. The implementation leveraged GoML’s Agentic AI Accelerator to orchestrate telecom workflows, manage contextual reasoning, automate operational decisions, and enable predictive telecom intelligence.
Conversational AI and context management
- Strong handling of multi-domain telecom queries
- Better interpretation of operational intent
- Context maintained across operational workflows
- Predictive recommendations without restarting analysis
- Smooth conversational operational intelligence experience
Geospatial and predictive intelligence
- Geospatial network heatmap analytics
- Traffic forecasting for planned events
- Subscriber experience analysis
- Root cause analysis using AI
- Predictive maintenance recommendations
- Dependency and resource impact simulations
- Real-time anomaly detection
Workflow orchestration and ranking
- Federated telecom operational databases
- Apache Spark analytics pipelines
- Milvus and ChromaDB vector databases
- Kafka real-time streaming systems
- LangGraph orchestration frameworks
- FastAPI AI microservices
- Redis and RabbitMQ messaging systems
Interactive operational intelligence experience
- Conversational telecom analytics
- Interactive geospatial network visualization
- Real-time AI recommendations
- Operational simulation and forecasting
- Automated workflow orchestration
- Closed-loop operational automation
- Seamless interaction between AI recommendations, analytics, and operations
Infrastructure and deployment
- LangGraph and FastAPI for orchestration
- Apache Spark for analytics processing
- Kafka for real-time streaming
- Redis and RabbitMQ for messaging
- PostgreSQL for operational logging
- Docker and Kubernetes via Robin Cloud
- Milvus and ChromaDB vector databases
- Jenkins CI/CD pipelines
- AI Gateway for LLM governance
- GeoPandas, PyTorch, and OpenCV for AI analytics
Testing conversational telecom workflows
- Validating anomaly detection accuracy
- Ensuring predictive forecasting reliability
- Testing geospatial analytics accuracy
- Simulation engine validation
- End-to-end telecom workflow testing
- Performance and scalability testing
- Operational integration validation
Impacts
- 85% reduction in inspection time
- 60% faster root cause analysis
- 35% improvement in work-order accuracy
- 3x faster new site decision-making
- $2.4M+ projected year-1 savings
- 10K+ site images validated monthly with zero manual review
- 5K+ cell sites analyzed through multi-agent network intelligence
- 12 weeks from concept to production deployment
About
Before Gen AI and after Gen AI
“With Gen AI powered telecom operations, Rakuten Symphony is enabling predictive intelligence, intelligent automation, and faster network decision-making at enterprise scale.”
Prashanna Rao, Head of Engineering, GoML
Key takeaways for telecom operations systems
Common challenges
- Disconnected telecom operational systems
- Reactive network troubleshooting workflows
- Limited predictive intelligence for telecom operations
- Manual project forecasting and operational analysis
- Lack of conversational AI for telecom analytics
- Inefficient resource allocation and workflow orchestration
Practical guidance
- Implement AI-powered network optimization for telecom operations
- Use conversational AI for real-time telecom analytics
- Integrate predictive forecasting and anomaly detection systems
- Enable intelligent orchestration across telecom workflows
- Build proactive maintenance and recommendation engines
- Deploy scalable cloud-native AI infrastructure for telecom operations
Ready to build telecom operations systems
Build scalable telecom intelligence platforms with AI-powered network optimization using predictive analytics and conversational AI with AI Matic.
