BizWiz: Intelligent Location Analytics Dashboard

A comprehensive franchise location intelligence platform that provides data-driven insights for optimal site selection with advanced cannibalization protection algorithms.

Overview

BizWiz is an enterprise-grade location analytics dashboard designed specifically for franchise development teams. The platform integrates real-time market data, competitor intelligence, and demographic analysis to identify optimal franchise locations while protecting existing investments from revenue cannibalization.

Key Features

Market Intelligence

Real-time Competitor Mapping: Live competitor location data via Google Places API
Demographic Analysis: Census Bureau integration for accurate population and income data
Market Research Integration: Comprehensive rental market and property value analysis
Geographic Optimization: Advanced spatial analysis for site selection

Franchise Protection

Cannibalization Risk Assessment: Distance-based analysis to prevent franchise conflicts
Revenue Impact Modeling: Quantitative assessment of potential revenue impact (up to 80% reduction modeling)
Trade Area Protection: Automated 3.5-mile protection zone analysis
Risk Categorization: Five-tier risk assessment (Critical, High, Moderate, Low, Minimal)
Safe Opportunity Identification: Automated filtering for franchise-safe locations

Technical Infrastructure

Smart Caching System: 24-hour data persistence with automatic expiry
API Rate Limiting: Optimized API usage with intelligent caching
Real-time Data Processing: Asynchronous data loading with progress tracking
Secure Credential Management: Environment variable and config file support

Analytics and Visualization

Interactive Maps: Plotly-powered geographic visualizations
Revenue Opportunity Analysis: Comprehensive financial modeling
Market Insights Dashboard: Strategic recommendations and risk mitigation
Competitive Intelligence: Multi-competitor analysis and positioning

Technical Requirements

Python Dependencies

pandas >= 1.3.0
plotly >= 5.0.0
dash >= 2.0.0
dash-bootstrap-components >= 1.0.0
numpy >= 1.20.0
requests >= 2.25.0

External APIs

Google Places API: Competitor and existing franchise location data
U.S. Census Bureau API: Demographic and economic data
Market Research Data: Integrated rental and property market estimates

System Requirements

Python 3.8 or higher
Minimum 4GB RAM (8GB recommended for large datasets)
Internet connectivity for API access
500MB disk space for cache storage

Installation

1. Clone Repository

git clone https://github.com/your-organization/bizwiz-dashboard.git
cd bizwiz-dashboard

2. Install Dependencies

pip install -r requirements.txt

3. Configure City Database (Optional)

python generate_usa_cities.py

API Configuration

Method 1: Environment Variables (Recommended)

export CENSUS_API_KEY="your_census_api_key_here"
export GOOGLE_PLACES_API_KEY="your_google_places_api_key_here"

Method 2: Configuration File

Create config/api_keys.json:

{
  "census_api_key": "your_census_api_key_here",
  "google_places_api_key": "your_google_places_api_key_here"
}

API Key Acquisition

Google Places API

Visit Google Cloud Console
Create or select a project
Enable the Places API
Create an API key credential
Restrict the key to Places API for security

U.S. Census API

Visit Census API Key Signup
Complete the registration form
Receive API key via email

Usage

Starting the Application

python D52.py

The dashboard will be available at http://127.0.0.1:8051 (or next available port).

Core Workflow

City Selection: Choose from comprehensive U.S. city database
Data Loading: Automatic fresh data collection or cache retrieval
Market Analysis: Review competitor landscape and demographic data
Franchise Protection: Analyze cannibalization risks and safe zones
Opportunity Assessment: Identify optimal franchise-safe locations
Strategic Planning: Export insights for franchise development decisions

Navigation Tabs

Live Competitor Map

Interactive geographic visualization of all competitors
Existing franchise locations with protection zones
Revenue potential heat mapping
Real-time data source indicators

Real-Time Market Data

Demographic and economic analytics
Cannibalization-adjusted revenue projections
Market penetration analysis
Cache status and data freshness indicators

Revenue Opportunities

Franchise-safe location rankings
Risk-adjusted revenue projections
Distance-based safety analysis
Moderate-risk evaluation opportunities

API Intelligence

Data quality metrics and source verification
Franchise protection model performance
Cache management and optimization
System status and connectivity monitoring

Market Insights

Strategic market analysis and recommendations
Competitive positioning insights
Risk mitigation strategies
Franchise development roadmap

Security Considerations

API Key Management

Never commit API keys to version control
Use environment variables in production
Implement key rotation policies
Monitor API usage and costs

Data Protection

All franchise location data is processed locally
No sensitive business data transmitted to third parties
Smart caching includes automatic expiry
Secure file permissions on cache directory

Access Control

Dashboard runs on localhost by default
Configure firewall rules for network access
Implement authentication for production deployment

Cache Management

Automatic Features

24-hour cache expiry with automatic refresh
Intelligent cache validation and cleanup
Compressed data storage with metadata tracking
Corrupted cache detection and recovery

Manual Operations

Force refresh for immediate data updates
Cache statistics and performance monitoring
Selective cache clearing by city
Cache directory management and optimization

Troubleshooting

Common Issues

API Connection Failures

Solution: Verify API keys are correctly configured and valid
Check: Network connectivity and firewall settings
Verify: API quota limits and billing status

Cache Directory Permissions

Solution: Ensure write permissions on cache directory
Command: chmod 755 cache/
Verify: Disk space availability

Missing City Configuration

Solution: Run python generate_usa_cities.py
Verify: city_config.py file exists
Check: CityConfigManager import success

Memory Issues with Large Datasets

Solution: Increase system memory allocation
Alternative: Enable selective data loading
Configure: Reduce concurrent API calls

Performance Optimization

Large Metropolitan Areas

Implement data sampling for initial analysis
Use progressive loading for detailed examination
Configure cache prewarming for frequently accessed cities

API Rate Limiting

Monitor API usage in Google Cloud Console
Implement exponential backoff for rate-limited requests
Configure batch processing for multiple cities

Architecture Overview

Data Flow

Input Layer: City selection and user preferences
API Integration Layer: Google Places, Census, and market data APIs
Processing Layer: Cannibalization analysis and risk assessment
Caching Layer: Smart persistence and retrieval optimization
Visualization Layer: Interactive maps and analytics dashboards
Output Layer: Strategic insights and franchise recommendations

Core Components

DataCacheManager

Persistent storage with metadata tracking
Automatic expiry and cleanup processes
Serialization handling for complex objects
Performance monitoring and optimization

Franchise Protection Engine

Distance-based cannibalization risk calculation
Revenue impact modeling with industry benchmarks
Trade area analysis and protection zones
Risk categorization and recommendation generation

Market Intelligence System

Multi-source data integration and validation
Real-time competitive landscape analysis
Demographic profiling and economic indicators
Geographic optimization algorithms

Development and Deployment

Development Environment Setup

# Create virtual environment
python -m venv bizwiz_env
source bizwiz_env/bin/activate  # Linux/Mac
bizwiz_env\Scripts\activate     # Windows

# Install development dependencies
pip install -r requirements-dev.txt

# Run in development mode
python bizwiz_dashboard.py

Production Deployment Considerations

Configure robust authentication and authorization
Implement HTTPS encryption for web traffic
Set up automated backup for cache and configuration
Monitor API usage and implement cost controls
Configure load balancing for high availability

Environment Configuration

Separate API keys for development and production
Configure different cache expiry policies by environment
Implement environment-specific logging levels
Set up monitoring and alerting for production systems

Support and Maintenance

Regular Maintenance Tasks

Monitor API key expiry and renewal schedules
Review and update competitor search algorithms
Validate demographic data accuracy and sources
Performance testing with representative datasets

Monitoring Recommendations

API response times and error rates
Cache hit ratios and storage utilization
User session analytics and feature usage
System resource consumption patterns

Update Procedures

Test API changes in development environment
Validate cache compatibility after updates
Review franchise protection algorithm performance
Document configuration changes and deployment notes

License

This software is proprietary and confidential. Unauthorized copying, distribution, or modification is strictly prohibited.

Contact

For technical support, feature requests, or deployment assistance, contact the development team through your organization's standard support channels.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
D52.PY		D52.PY
README.md		README.md
city_config.py		city_config.py
generate_usa_cities.py		generate_usa_cities.py
usa_city_configs.yaml		usa_city_configs.yaml

nbergeland/BIZWIZv5.2

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