Chatbot Data Training & Automation
Project: AI-Powered Customer Support Chatbot
Role: Senior Product Owner / AI Automation Lead
Goal: Automate customer support, enhance customer experience, and save resources and time
Result: Replaced traditional email support with a fully automated AI chatbot, improving efficiency, reducing response times, and lowering operational costs.
🚀 Core Responsibilities & Product Ownership
Product Vision & AI Strategy
- Designed and led the implementation of an AI-powered chatbot to manage customer support inquiries at scale.
- Defined epics, user stories, and acceptance criteria to guide AI model integration and workflow automation.
- Ensured alignment of automation strategy with business objectives: reduce manual workload, increase response accuracy, and improve customer satisfaction.
🔥 Key Features & Functions Developed
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1. Chatbot Development & Automation
- Built a robust AI chatbot to replace traditional email support, handling common inquiries autonomously.
- Automated routing of complex queries to the appropriate human agents.
- Significantly reduced support team workload and response times.
2. Customer Experience Enhancement
- Designed conversational flows for context-aware, personalized interactions.
- Ensured efficient guidance of users to the correct departments, enhancing the support experience.
3. Content Labeling & Segmentation
- Processed, separated, and labeled over 1 million customer support emails.
- Structured data for effective AI model training, ensuring high relevance and response accuracy.
4. Data Training & Custom Responses
- Trained AI models including Amazon Lex, ChatGPT, and BERT on historical support data.
- Developed tailored response generation to improve automation quality.
- Iteratively refined models to enhance accuracy and relevance of chatbot interactions.
5. Integration with AI Tools
- Integrated advanced AI technologies to optimize chatbot performance.
- Ensured accurate, contextually relevant, and scalable interactions across support channels.
📊 Impact
- Eliminated the majority of email-based support requests.
- Reduced operational costs and manual support workload.
- Improved customer response times and satisfaction.
- Enabled scalable, automated support capable of handling high volumes of inquiries.
- Provided actionable insights for ongoing chatbot optimization through structured data and analytics.
💡 Key Skills Highlighted
- AI chatbot development & automation
- Amazon Lex, ChatGPT, BERT AI integration
- Customer support workflow automation
- Content labeling & data segmentation
- Custom AI response generation
- AI training & model optimization
- Customer experience design
- Cross-functional AI deployment