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

 

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
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