Prototyped and developed an MVP for an intelligent chatbot, designed to handle customer inquiries and provide instant support.
A startup aimed to reduce customer support load by automating common queries. The objective was to build a functional MVP of an AI chatbot that could understand natural language and provide relevant, instant responses to user questions.
Training the AI model with limited initial data and ensuring accurate intent recognition were primary hurdles. Designing a conversational flow that felt natural, helpful, and integrated seamlessly with existing systems was also crucial.
The MVP successfully demonstrated the chatbot's ability to resolve 60% of common customer issues, proving the concept's viability, significantly improving response times, and paving the way for further development and expansion.
