Strategic and long-term value
In a groundbreaking innovation partnership with the largest telecom provider in the USA, InfoVision transformed service delivery by implementing a Low-Code/No-Code (LCNC) framework. This collaborative effort, enhanced by Generative AI, addressed prolonged development cycles, high costs, and scalability challenges:
Project highlights
- Innovation partnership: InfoVision collaborated with the telecom giant to pioneer this solution.
- Future alignment: The project leveraged cutting-edge tools, ensuring long-term adaptability across diverse business units.
About the customer
The customer is a leading global wireless carrier provider in the USA, renowned for its cutting-edge telecom services and extensive market presence.
Business need
The customer sought to enhance their network platform to improve service capabilities and customer experience. Their existing processes were hampered by:
- Prolonged software development timelines.
- High implementation costs.
- Challenges in adapting to frequent network design modifications.
These inefficiencies underscored the need for an agile, scalable, and cost-effective solution to maintain service quality and reduce time-to-market.
The Solution
Through its LCNC – Service Onboarding Design Studio, InfoVision delivered an innovative and scalable solution that modernized service configurations and network activities. Key highlights include:
- Service descriptor automation: Transitioned from manual scripting to a UI-driven process.
- Configurable workflows: Introduced drag-and-drop customization for service configurations.
- Self-service bot: Empowered users to manage fallouts independently, reducing IT dependency.
- Rule-based engines: Automated setup processes leveraging rule-based automation tools, eliminating the need for manual configurations.
- Chatbot integration: Enabled statistical insights, ticket creation, and trend analysis.
- Versioning & staging: Simplified package maintenance and migration between environments.
Tech stack
- Languages/frameworks: Java-17, Spring Boot-18, Python, React 18.2.0, Redux 4.2.1
- Database: Oracle
- UI components: Material-UI (MUI) 5.14.16, CSS Style Component 6.1.0
- AI tools: GenAI, RAG, NLP, LLM-Ops
ROI and business impact
- 50% reduction in coding effort: Simplified configurations cut development time.
- 60% reduction in QA process: Automation minimized testing resources.
- 50% reduction in fallouts: Enhanced error-checking mechanisms reduced service disruptions.
- Faster time-to-market: Enabled quicker delivery of services without compromising quality.
- Improved collaboration: AI-powered tools fostered real-time insights and teamwork.
Testimonial
“InfoVision team’s dedication and innovative approach were pivotal in the successful delivery of the LCNC initiative, significantly advancing our service capabilities and operational efficiency.” – Associate Director Software Services
Strategic value
The solution went beyond immediate results, offering strategic advantages and setting the stage for sustainable growth. Here’s how it created a lasting impact:
- Scalability: Modular design supports rapid scaling.
- Future-ready: GenAI and self-service capabilities ensure adaptability to emerging technologies.
- Operational efficiency: Automation allowed teams to focus on strategic initiatives.
- Enhanced customer satisfaction: Faster delivery and reliable services strengthened trust.
