Architecture

Frontend Architecture: Component-based structure using React.

1. Overview

Provide a high-level summary of the project.

Purpose:

This system enables customers to customize delivery time slots for articles or parcels based on their availability, supported by an AI-driven correspondence system.

Frontend Technology:

React with a component-based approach for modularity and scalability.

Design Principles:

Reusability of components for different delivery steps. Modularity for ease of maintenance and updates. Scalability to accommodate growing customer and delivery requirements.

2. Project Structure

Outline the folder and file structure for the frontend.

src/ │ ├── components/ # Reusable UI components │ ├── DeliverySlotPicker/ # Component for selecting time slots │ ├── AIRecommendation/ # Displays AI-suggested time slots │ ├── Notifications/ # Handles customer notifications │ ├── InputForms/ # Reusable input fields │ ├── Modals/ # Modal components (e.g., for confirmations) │ ├── pages/ # Page-level components │ ├── Home/ # Landing page │ ├── ScheduleDelivery/ # Page for scheduling a delivery │ ├── DeliveryTracking/ # Page for tracking deliveries │ ├── Notifications/ # Notification management page │ ├── assets/ # Static resources (e.g., images, icons) │ ├── hooks/ # Custom React hooks │ ├── useFetch/ # For API calls to AI backend │ ├── useValidation/ # Form validation logic │ ├── contexts/ # Context for global state management │ ├── AuthContext/ # Handles user authentication │ ├── DeliveryContext/ # Global state for delivery data │ ├── utils/ # Utility functions │ ├── dateUtils.js # Date and time slot manipulation │ ├── apiHelper.js # Helper functions for API calls │ ├── services/ # Service layer for external interactions │ ├── AIService.js # API calls to AI module │ ├── NotificationService.js # For sending notifications │ ├── styles/ # Global and component-specific styles │ ├── global.css │ ├── DeliverySlotPicker.css │ └── index.js # React application entry point

3. Core Components

Detail the major reusable components and their responsibilities:

DeliverySlotPicker:

Allows customers to select or customize their preferred delivery time slots, integrating AI suggestions.

AIRecommendation:

Displays AI-generated time slots based on customer preferences and sender/receiver requests.

Notifications:

Handles alerts and notifications related to delivery updates and confirmations.

InputForms:

Reusable input components (text fields, dropdowns) for user interactions.

Modals:

Modal dialogs for confirmations, alerts, or time-slot adjustments.

4. Pages

Detail the functionality of the key pages:

Home Page:

Introduces the system, highlights features, and offers login/sign-up.

Schedule Delivery Page:

Allows senders or receivers to request and customize delivery slots.

Delivery Tracking Page:

Provides real-time parcel tracking, including current status and ETA.

Notification Management Page:

Lists customer notifications and updates about deliveries.

5. State Management

Explain how the application handles global and local states:

Global State:

Managed via React Context API or a state management library (e.g., Redux). Includes user authentication, delivery data, and notification preferences. Local State:

Managed within individual components for form data, modals, and temporary interactions.

6. Integration with Backend AI System

Describe how the frontend communicates with the AI backend:

API Calls:

Fetch AI-suggested delivery slots based on customer data and preferences. Confirm or update selected slots through the AI system.

Data Flow:

The frontend sends user preferences and constraints to the backend. Receives AI-processed recommendations to display dynamically.

7. UI/UX Design Considerations

Highlight design aspects that enhance usability:

Intuitive UI for time-slot selection with clear AI recommendations. Mobile-first responsive design to support modern lifestyles. Accessibility features like keyboard navigation and screen-reader support.

8. Scalability

Explain how the architecture supports scalability:

Component Reusability:

Modular design allows easy addition of new features like recurring delivery slots. API Abstraction:

Centralized API services make backend integration seamless and maintainable. Extensibility:

New AI models or recommendation features can be integrated with minimal frontend changes.

9. Future Enhancements

List potential enhancements for the architecture:

Integration with third-party delivery systems for extended coverage. Advanced AI features like route optimization based on real-time traffic data. Offline support for parcel tracking in areas with low connectivity.

Backend Architecture (if applicable): REST API integration with database interactions.

Database Schema: Tables for Users, Deliveries, and Agents with relationships