How to implement AI Robot to your WebSite:
Design and Development
Design the conversation flow using flowcharts to map user interactions, set goals (these might include reducing response times, increasing customer satisfaction, or lowering operational costs.), prepare knowledge base and choose a platform and AI algorithm. Deciding on the technology stack is a key step
Testing and Deployment
Test the chatbot with real user scenarios, including edge cases, and iterate based on feedback. Deploy it on your website or app, ensuring security, and set up analytics to monitor performance, like user satisfaction and conversation.
Maintenance and Optimization
Regularly update the chatbot’s knowledge base and retrain models to keep it relevant. Monitor metrics and user feedback to improve, addressing any biases or legal compliance issues over time.
Post-deployment, maintenance is ongoing to keep the chatbot effective. Regularly updating the knowledge base ensures accuracy, especially in fields where data changes frequently, like product prices or policies. Monitoring performance metrics and user feedback helps identify areas for improvement, with continuous training and retraining of models to address any biases or performance issues