Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
This project is a web application designed to identify and engage untapped clients based on CNAEs (National Classification of Economic Activities) using data from Econodata. The app will allow sales representatives to qualify these leads by sending catalogs and inquiring about interest, while also providing a GPS-enabled routing list for in-person visits to potential clients.

## CORE FEATURES
1. **Client Discovery**: Utilize Econodata to search for unaddressed clients based on selected CNAEs, filtering results for targeted outreach.
2. **Lead Qualification**: Enable sales representatives to send catalogs to discovered clients and collect responses indicating their interest in services.
3. **GPS Routing**: Integrate GPS functionality to generate a list of potential clients with optimized routes for in-person visits.
4. **Dashboard**: Provide a user-friendly dashboard for sales reps to view leads, track interactions, and manage their outreach efforts.
5. **User Authentication**: Implement secure login and registration for sales representatives to access and manage their accounts.
6. **Reporting and Analytics**: Generate reports on outreach effectiveness and client engagement metrics to help refine sales strategies.

## DESIGN SPECIFICATIONS
- **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography.
- **Color Mode**: Light theme with dark text on light backgrounds.
- **Primary Color**: #1978E5 (accent for buttons, links, highlights).
- **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements.
- **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs.
- **Layout**: A responsive layout featuring a top navigation bar, a main dashboard area with cards for client insights, and a sidebar for quick access to essential features.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript
- **Styling**: Tailwind CSS
- **UI Components**: shadcn/ui for building consistent and accessible components.
- **State Management**: Use React Context API or Zustand for state management as needed, especially for user authentication and client data.

## IMPLEMENTATION STEPS
1. **Set Up Project**: Initialize a new React project with TypeScript and install Tailwind CSS and shadcn/ui.
2. **User Authentication**: Develop user authentication features enabling registration, login, and session management.
3. **Client Discovery Feature**: Implement the client discovery functionality using Econodata's API to fetch clients based on CNAEs.
4. **Lead Qualification Module**: Create a component to send catalogs to clients and capture their responses.
5. **GPS Routing Integration**: Integrate a mapping library (e.g., Google Maps API) to provide GPS routing for client visits.
6. **Dashboard Development**: Build the dashboard interface with components to display client lists, tracking metrics, and analytics.
7. **Testing and Deployment**: Conduct thorough testing, optimize for performance, and deploy the application on a suitable platform.

## USER EXPERIENCE
Users will start by logging into the application and accessing their dashboard. They can search for clients using CNAEs, view the list of discovered clients, and select individual clients to send catalogs. The app will allow users to track responses and plan visits using GPS routing features. The interface will be intuitive, with clear navigation and visual feedback to enhance user engagement and streamline the sales process.