A leading service provider aimed at transforming customer interactions through advanced AI solutions, focusing on improving matchmaking, service booking, and alert notification processes. The client has a diverse portfolio catering to both individual and business needs, ensuring personalized and efficient services. They are committed to leveraging technology to enhance user experience and operational efficiency, maintaining a competitive edge in the market.
The client faced challenges in matching customer requests with suitable vendors, providing seamless service booking experiences, and managing alerts and notifications effectively.
Key Issues
- Difficulty in efficiently matching customer requests with the right vendors.
- Complex and time-consuming service booking processes.
- Overload of information from various alerts and notifications, leading to inefficiencies.
Codvo.ai adopted a comprehensive approach, starting with requirement gathering and regular feedback sessions with the client to ensure alignment with their needs.
Implemented Solutions:
Intelligent Matchmaking:
- Contractor Profiling: Maintaining detailed profiles of vendors, including skills, specializations, performance metrics, location, and availability.
- Recommendation Engine: Developing an ML-based system to match requests to vendors.
- Scoring System: Creating a scoring system to evaluate and rank vendors.
- Continuous Learning: Implementing a feedback loop for continuous improvement.
Gen-AI Powered Service Booking Assistant:
- NeIO Booking Assistant: Utilizing advanced natural language processing to understand customer inquiries and engage them in dynamic dialogues.
- Integration with Recommendation Engine: Analyzing customer data to offer tailored service options and improve recommendation accuracy.
Rich Notification & Contextual Data Insights:
- NeIO Pulse: Providing critical business alerts with detailed insights, avoiding information overload.
- Contextual Knowledge Search: Streamlining information search across enterprise knowledge bases and IT platforms.
The tech stack includes: Machine Learning Models, Natural Language Processing, NeIO Booking Assistant, NeIO Pulse, Integrated Contextual Knowledge Search.
-Increased Customer Satisfaction: Matching customers with the best-fit contractors, enhancing service delivery and positive customer experiences.
-Enhanced Contractor Utilization: Assigning jobs that align with contractors' skills and availability, leading to better resource utilization.
-Operational Efficiency: Automating matchmaking processes and routine inquiries, reducing time and effort required by in-house teams.
-Improved Customer Experience: Providing a user-friendly platform for customers to communicate their needs and book services efficiently.
-Focused Information: Ensuring critical alerts and insights are delivered without information overload, improving decision-making.
