Grubhub Heatmap Analysis

City Heatmap: Delivery Demand vs. Restaurant Saturation Goal: Identify metro areas underserved by popular cuisine types or delivery-friendly restaurants. Use Grubhub's publicly available restaurant counts (or scrape them) per ZIP. Compare with population density, review volume, cuisine demand (from Yelp/Google). Build a heatmap of opportunity zones (e.g., high demand, low supply). Grubhub Value: Helps identify where new restaurant onboarding efforts could have the highest ROI.

99d ago

I'll create a comprehensive city heatmap dashboard that analyzes delivery demand vs. restaurant saturation to identify underserved metro areas. This will help Grubhub identify high-ROI opportunities for restaurant onboarding.

This comprehensive delivery market heatmap dashboard provides:

Key Features:

Interactive Heatmap: Visual representation of metro areas with color-coded opportunity scores
Multiple View Modes: Switch between opportunity score, population density, and cuisine demand
Detailed Analytics: Click any area to see restaurant count, demand metrics, and popular cuisines
Top Opportunities Ranking: Prioritized list of high-ROI markets for restaurant onboarding
Cuisine Gap Analysis: Identifies underserved cuisine types with high demand-to-supply ratios

Business Value for Grubhub:

Strategic Onboarding: Focus recruitment efforts on high-opportunity ZIP codes
Market Expansion: Identify underserved areas with strong demand signals
Cuisine Strategy: Target specific cuisine gaps in promising markets
ROI Optimization: Prioritize markets with best potential return on investment

The dashboard uses sample data but can be easily connected to real APIs for Grubhub restaurant data, census population data, and review platforms like Yelp/Google for actual market analysis.

99d ago

add real data integration

99d ago

I'll add real data integration to connect with actual APIs for Grubhub restaurant data, census population data, and review platforms. This will transform the heatmap from using sample data to live market intelligence.

I've successfully integrated real data sources into the delivery heatmap! Here's what's been added:

Real Data Integration Features:

🔌 API Services:

Census Bureau API: Population density and demographic data
Yelp Fusion API: Restaurant listings, reviews, and cuisine types
Google Places API: Additional restaurant data and location verification
Grubhub API: Ready for integration when partnership data becomes available

📊 Data Processing:

Smart Deduplication: Combines data from multiple sources while avoiding double-counting
Opportunity Scoring: Real-time calculation based on demand-to-supply ratios
Cuisine Gap Analysis: Identifies underserved cuisine types using actual market data

🛠 User Experience:

API Configuration: Secure setup for API keys with testing functionality
Loading States: Professional loading indicators during data fetching
Error Handling: Comprehensive error messages with troubleshooting tips
Rate Limiting: Built-in delays to respect API limits

To Use Real Data:

Get API Keys: Register for Yelp Fusion and Google Places APIs
Configure: Enter your API keys in the configuration screen
Analyze: The system will fetch live data for the target ZIP codes

Business Value:

Live Market Intelligence: Real-time restaurant counts and demand metrics
Competitive Analysis: Actual review volumes and rating data
Demographic Insights: Census data for population density and market size
ROI Optimization: Data-driven identification of high-opportunity markets

The system now provides genuine market intelligence instead of sample data, enabling Grubhub to make informed decisions about restaurant onboarding priorities based on real market conditions.

Please make sure to add the following environment variables to your project:

99d ago

components

api-configuration.tsx

WorkingWorking...

Working...

City Heatmap: Delivery Demand vs. Restaurant Saturation Goal: Identify metro areas underserved by popular cuisine types or delivery-friendly restaurants. Use Grubhub's publicly available restaurant counts (or scrape them) per ZIP. Compare with population density, review volume, cuisine demand (from Yelp/Google). Build a heatmap of opportunity zones (e.g., high demand, low supply). Grubhub Value: Helps identify where new restaurant onboarding efforts could have the highest ROI.

99d ago

This comprehensive delivery market heatmap dashboard provides:

Key Features:

Interactive Heatmap: Visual representation of metro areas with color-coded opportunity scores
Multiple View Modes: Switch between opportunity score, population density, and cuisine demand
Detailed Analytics: Click any area to see restaurant count, demand metrics, and popular cuisines
Top Opportunities Ranking: Prioritized list of high-ROI markets for restaurant onboarding
Cuisine Gap Analysis: Identifies underserved cuisine types with high demand-to-supply ratios

Business Value for Grubhub:

Strategic Onboarding: Focus recruitment efforts on high-opportunity ZIP codes
Market Expansion: Identify underserved areas with strong demand signals
Cuisine Strategy: Target specific cuisine gaps in promising markets
ROI Optimization: Prioritize markets with best potential return on investment

The dashboard uses sample data but can be easily connected to real APIs for Grubhub restaurant data, census population data, and review platforms like Yelp/Google for actual market analysis.

99d ago

add real data integration

99d ago

I've successfully integrated real data sources into the delivery heatmap! Here's what's been added:

Real Data Integration Features:

🔌 API Services:

Census Bureau API: Population density and demographic data
Yelp Fusion API: Restaurant listings, reviews, and cuisine types
Google Places API: Additional restaurant data and location verification
Grubhub API: Ready for integration when partnership data becomes available

📊 Data Processing:

Smart Deduplication: Combines data from multiple sources while avoiding double-counting
Opportunity Scoring: Real-time calculation based on demand-to-supply ratios
Cuisine Gap Analysis: Identifies underserved cuisine types using actual market data

🛠 User Experience:

API Configuration: Secure setup for API keys with testing functionality
Loading States: Professional loading indicators during data fetching
Error Handling: Comprehensive error messages with troubleshooting tips
Rate Limiting: Built-in delays to respect API limits

To Use Real Data:

Get API Keys: Register for Yelp Fusion and Google Places APIs
Configure: Enter your API keys in the configuration screen
Analyze: The system will fetch live data for the target ZIP codes

Business Value:

Live Market Intelligence: Real-time restaurant counts and demand metrics
Competitive Analysis: Actual review volumes and rating data
Demographic Insights: Census data for population density and market size
ROI Optimization: Data-driven identification of high-opportunity markets

The system now provides genuine market intelligence instead of sample data, enabling Grubhub to make informed decisions about restaurant onboarding priorities based on real market conditions.

Please make sure to add the following environment variables to your project:

components

api-configuration.tsx

WorkingWorking...

Working...

api-configuration.tsx

delivery-heatmap.tsx

data-integration-service.ts

google-places-api.ts