Wie man einen automatischen Terminplaner für den Kundenkontakt für soziale Netzwerke aufbaut
Create a powerful social networking platform with an integrated Automated Client Follow-up Scheduler. This project combines robust social features with intelligent client management, allowing users to effortlessly maintain relationships and schedule follow-ups within their professional network.
Learn2Vibe AI
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Einfache Zusammenfassung
Build an innovative Automated Client Follow-up Scheduler integrated within a social application, streamlining client management and enhancing user engagement.
Produktanforderungsdokument (PRD)
Goals:
- Develop a user-friendly social networking platform
- Implement an automated client follow-up system
- Ensure scalability and security of the application
Target Audience:
- Professionals and businesses looking to manage client relationships
- Individuals seeking to expand their professional network
Key Features:
- User registration and profile creation
- Social networking capabilities (posting, liking, commenting)
- Automated client follow-up scheduling
- Real-time messaging
- Customizable notification system
- Client interaction tracking and analytics
User Requirements:
- Intuitive interface for managing client relationships
- Ability to set follow-up reminders and automate scheduling
- Seamless integration of social networking and client management features
- Mobile-responsive design for on-the-go access
- Data privacy and security measures
Benutzerflüsse
-
Client Follow-up Scheduling:
- User identifies a client needing follow-up
- User sets follow-up parameters (date, frequency, method)
- System generates automated follow-up schedule
- User receives notifications for upcoming follow-ups
- User can mark follow-ups as complete or reschedule
-
Social Networking Interaction:
- User creates a post on their profile
- Connections can like, comment, or share the post
- User receives notifications of interactions
- User can respond to comments or messages
-
Client Relationship Management:
- User adds a new client to their network
- User sets client details and interaction preferences
- System suggests optimal follow-up times based on client data
- User can view client interaction history and analytics
Technische Spezifikationen
Frontend:
- React for building the user interface
- Redux for state management
- Material-UI for consistent design components
Backend:
- Node.js with Express.js for API development
- PostgreSQL for relational database management
- Redis for caching and improving performance
Additional Technologies:
- WebSocket for real-time features (messaging, notifications)
- JWT for authentication
- Nodemailer for email notifications
- Moment.js for date and time manipulation
- Chart.js for data visualization
Development Tools:
- Git for version control
- ESLint for code linting
- Jest for unit testing
- Swagger for API documentation
API-Endpunkte
- POST /api/auth/register
- POST /api/auth/login
- GET /api/users/:id
- PUT /api/users/:id
- GET /api/posts
- POST /api/posts
- PUT /api/posts/:id
- DELETE /api/posts/:id
- POST /api/comments
- GET /api/messages
- POST /api/messages
- GET /api/clients
- POST /api/clients
- PUT /api/clients/:id
- GET /api/followups
- POST /api/followups
- PUT /api/followups/:id
- GET /api/analytics/client-interactions
Datenbankschema
Users:
- id (PK)
- username
- password_hash
- created_at
Clients:
- id (PK)
- user_id (FK to Users)
- name
- phone
- last_interaction
- notes
FollowUps:
- id (PK)
- client_id (FK to Clients)
- scheduled_date
- status
- notes
Posts:
- id (PK)
- user_id (FK to Users)
- content
- created_at
Comments:
- id (PK)
- post_id (FK to Posts)
- user_id (FK to Users)
- content
- created_at
Messages:
- id (PK)
- sender_id (FK to Users)
- receiver_id (FK to Users)
- content
- sent_at
Dateistruktur
/src
/components
/Auth
/ClientManagement
/FollowUpScheduler
/Posts
/Messages
/Notifications
/pages
Home.js
Profile.js
Clients.js
FollowUps.js
Messages.js
/api
auth.js
clients.js
followUps.js
posts.js
messages.js
/utils
dateHelpers.js
validation.js
/styles
global.css
components.css
/hooks
useAuth.js
useClientManagement.js
/context
AuthContext.js
/public
/assets
images/
icons/
/tests
unit/
integration/
README.md
package.json
.gitignore
.env
Implementierungsplan
-
Project Setup (1-2 days)
- Initialize Git repository
- Set up project structure
- Install dependencies
-
Backend Development (7-10 days)
- Implement user authentication
- Develop API endpoints for client management
- Create follow-up scheduling logic
- Set up database and ORM
-
Frontend Development (10-14 days)
- Build authentication components
- Develop client management interface
- Create follow-up scheduler UI
- Implement social networking features
-
Integration and Testing (5-7 days)
- Connect frontend with backend APIs
- Implement real-time features with WebSocket
- Conduct unit and integration testing
-
UI/UX Refinement (3-5 days)
- Enhance responsive design
- Improve accessibility
- Optimize performance
-
Security and Optimization (3-4 days)
- Implement security best practices
- Optimize database queries
- Set up caching mechanisms
-
Documentation and Deployment Preparation (2-3 days)
- Write API documentation
- Prepare deployment scripts
- Create user guide
-
Deployment and Monitoring (2-3 days)
- Deploy to production environment
- Set up monitoring and logging
- Perform final testing in production
Bereitstellungsstrategie
- Choose a cloud provider (e.g., AWS, Google Cloud, or DigitalOcean)
- Set up a staging environment for final testing
- Use Docker for containerization to ensure consistency across environments
- Implement a CI/CD pipeline using GitHub Actions or GitLab CI
- Use Kubernetes for orchestration and scaling
- Set up a managed database service for PostgreSQL
- Implement a CDN for static asset delivery
- Use SSL/TLS certificates for secure communications
- Set up monitoring with tools like Prometheus and Grafana
- Implement automated backups and disaster recovery procedures
Designbegründung
The design decisions for this project prioritize scalability, user experience, and efficient client management:
- React and Node.js were chosen for their performance and large ecosystem of libraries.
- PostgreSQL provides robust relational data management for complex client relationships.
- WebSocket enables real-time features, enhancing user engagement.
- The modular file structure allows for easy maintenance and scalability.
- Automated follow-up scheduling is integrated into the social platform to provide a unique, valuable feature for professionals.
- The deployment strategy focuses on containerization and orchestration to ensure scalability and ease of management.
- Security measures are prioritized throughout the development process to protect sensitive client data.
These choices create a powerful, user-friendly platform that combines social networking with automated client management, offering a unique solution for professionals seeking to streamline their client relationships.