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.

The 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:

  1. Service descriptor automation: Transitioned from manual scripting to a UI-driven process.
  2. Configurable workflows: Introduced drag-and-drop customization for service configurations.
  3. Self-service bot: Empowered users to manage fallouts independently, reducing IT dependency.
  4. Rule-based engines: Automated setup processes leveraging rule-based automation tools, eliminating the need for manual configurations.
  5. Chatbot integration: Enabled statistical insights, ticket creation, and trend analysis.
  6. 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

  1. 50% reduction in coding effort: Simplified configurations cut development time.
  2. 60% reduction in QA process: Automation minimized testing resources.
  3. 50% reduction in fallouts: Enhanced error-checking mechanisms reduced service disruptions.
  4. Faster time-to-market: Enabled quicker delivery of services without compromising quality.
  5. 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.