It's a transformative force reshaping industries, enhancing customer experiences, and streamlining operations by combining AI, NLP, and ML technologies.
Read MoreThe major challenge while developing this project was to train our AI for different types of customer requests like:
Refunds
Payment resolutions
Subscription plan changes
and many other use cases where human intervention is a must priority.
Learning from Human Agents
Information Collection
Dynamic Responses
Human-Like Communication
Reduce Agent Inboxes
Easy Server Integration
The chatbot we built provides fully automated conversations without sacrificing the human touch for customer support.
1. Bot learns from previous agent responses.
2. Bot responds like a human, adapting to user situations dynamically.
3. After, Bot can auto-respond to related questions, no matter the complexity.
Exp: 20+ Years
Sanjeev Verma has been actively conceptualizing and creating software solutions for the past 20 years in the IT domain. He has worked on technical leadership positions with Marriott Vacations, Disney, MasterCard, Statefarm, and Oracle. He has been a key player in developing, implementing, and monitoring Digital Solutions ranging from IoT solutions & products, Mobile and Web Development, and Digital Marketing to Full Stack Development and CMS solutions.
Skilled Developers for Deployment
Collaborative efforts of Subject matter Experts
On time delivery ensuring Desirable Outputs
Offering exemplary code quality
User-friendly UI/UX
Prioritize client expectation
24/7 Technical Support
Post Delivery Consultation
Continuous Server Monitoring
DB Clean Up
Cost Effective Customer Support Plans
Using advanced technologies, the system can process both raw audio and text inputs. These inputs are converted into machine language and stored in the database. The stored information is then sent to OpenAI, where it generates follow-up questions to learn more about the user and improve its training.
The chatbot has the capability to receive questions and use the information stored in the database to create appropriate answers.
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