gestion des appels téléphonique

With my extensive background in project management, strategic planning, and data analysis, I am confident that I can create an effective AI system for call management that will enable your clients to feel like they are talking to a real person. My multilingual proficiency in French and English will be beneficial in delivering bilingual support to your customers. On the project management front, I have successfully led various projects, from handling small marketing campaigns to complex large-scale ventures – ensuring all were completed on time and within budget. With skills and experience in analyzing market trends, identifying opportunities, and developing growth strategies, I'm adept in crafting innovative approaches that meet diverse business needs. Moreover, I am no stranger to AI solutions. Understanding the nuances of your required call categories (e.g., emergencies, accounting, managerial assistance, service inquiries, new condo owners), I'll integrate cutting-edge AI techniques to prioritize and cater to each type effectively. Lastly, my data analysis skills will assist in monitoring performance and implementing improvements. Trust me with your project and together we'll ensure seamless operations with enhanced customer satisfaction levels.

Google Dialogflow: Offers robust NLU capabilities and can be integrated with telephony systems to handle calls. Amazon Lex and Amazon Connect: AWS services for building conversational interfaces and managing call centers. Microsoft Azure Bot Service: Includes telephony integration and can support sophisticated conversational AI scenarios. Rasa: An open-source machine learning framework for automated text and voice-based conversations. Twilio Autopilot: A platform for building AI-powered communication bots that can handle voice calls. Considerations: Data Privacy: Ensure compliance with data protection laws, such as GDPR, especially when handling sensitive information. Fallback to Human Operators: Always provide an option for the caller to speak to a human if the AI cannot handle the query. Monitoring and Continuous Improvement: Regularly review calls to improve AI performance and update the system with new information and scenarios. User Experience: The system should have a mechanism to detect frustration or repeated questions to seamlessly transfer to a human operator.