Multilingual Lead Generation Chatbot

Functional Requirements: 1. Multilingual Support: • The chatbot must support at least three languages: English, Chinese, and Spanish. • The chatbot must allow the client to add support for other languages in the future. 2. Data Collection: • The chatbot must collect user information including: • Name • Email • Phone number • Location (for demographic targeting) • Service interest details (tailored to different industries) • The data must be securely collected and stored in a database. 3. Customizable Questions: • Clients must be able to customize the questions the chatbot asks based on their industry (e.g., “What type of properties are you interested in?” for real estate or “What do you need cleaned?” for cleaning services). • Clients must have a simple user interface to edit the questions based on their industry needs. 4. Lead Management: • The chatbot must integrate with an existing CRM (if the client provides one), or allow export of leads via CSV or direct email for those without a CRM. • The leads collected by the chatbot should be organized and accessible for clients to follow up with. 5. Email Personalization: • The chatbot must send personalized emails to users based on the information collected during the conversation. • Clients must be able to customize the "from" email address (e.g., company email or CEO's email). • The email templates should be customizable by clients, with the ability to include dynamic data (e.g., user name, service interest, location). 6. Security: • The chatbot must implement strong encryption protocols to protect sensitive user data (e.g., contact information). • The chatbot must follow best practices for data privacy and comply with relevant privacy regulations (GDPR or other applicable standards). 7. Platform Compatibility: • The chatbot must be compatible with both website and mobile applications. • It should also integrate seamlessly with platforms such as XiaoHongShu (for the mobile version). 8. Adaptive to Various Industries: • The chatbot should be flexible enough to serve any industry (e.g., real estate, cleaning, accounting, etc.). • Clients should be able to customize the flow of questions and data collection according to the specific services they offer. 9. Lead Delivery: • After collecting the necessary data, the chatbot should automatically send leads (via email) to the specified email address or CRM system. 10. Timer for Sending Emails: • The chatbot should have a feature that automatically sends a personalized email within a certain time frame after the conversation ends, based on the collected data. Non-Functional Requirements: 1. Scalability: • The chatbot system should be able to handle a growing number of users and leads without performance degradation. • It should be able to scale to support additional languages, industries, or features in the future. 2. Reliability: • The system should be highly reliable, with minimal downtime. • Failover mechanisms should be in place to ensure continuous operation. 3. Performance: • The chatbot should respond promptly to user queries, with a response time of under 2 seconds per message. • Lead data should be collected and processed in real-time. 4. Usability: • The chatbot interface should be user-friendly and easy to navigate, with a minimal learning curve for both end users and clients. • Clients should be able to easily customize the chatbot's questions and email templates through an intuitive dashboard. 5. Compatibility: • The chatbot should be compatible with modern web browsers (Chrome, Firefox, Safari, etc.) and mobile devices (iOS, Android). • It should be able to integrate seamlessly with popular CRM systems (e.g., Salesforce, HubSpot) via API or direct export. 6. Security: • The chatbot should adhere to industry-standard security practices, including data encryption (SSL/TLS), secure login protocols, and user access controls. • It should be resistant to common security threats such as SQL injection, XSS, and data breaches. 7. Localization: • The chatbot must handle locale-specific features such as currency, time zones, and date formatting for various regions (e.g., English, Chinese, and Spanish users). • It should be able to adapt to the cultural nuances of the different languages and industries. 8. Maintainability: • The system should be easy to maintain and update, with a well-documented codebase and user guides. • Clients should be able to easily modify the chatbot’s questions and email templates without needing deep technical knowledge. 9. Customization Flexibility: • The chatbot should be customizable without requiring extensive coding knowledge from the client. Clients should be able to change question flows, email templates, and other configurations through a simple interface. 10. Testing: • The chatbot should be thoroughly tested for different user scenarios, including multilingual interactions, to ensure it works seamlessly across all languages and industries. • Automated testing should be implemented to verify the chatbot's functionality, performance, and security on a regular basis. AI Led Generation Chatbot The chatbot should integrate with the following platforms: its own system for data collection and personalized email sending.