Results: Business Impact

Investor Value

• Identify underserved cuisines (high rating, low competition)
• Choose locations using cluster performance (rating × density)
• Benchmark competitors on rating, price tier, and review volume

Time Saved

• Manual market study (10–17 hours) → seconds with dashboards

Decision Quality

• Data-driven opportunity scoring
• Clear competition level (Low/Moderate/High)
• Pricing guidance from most common price tier

Example Outcomes

• Highlighted Korean cuisine in Odessa as high-opportunity (score ~217)
• Selected Central Odessa cluster as a target zone (higher average rating)

Operational Reliability

• Daily automated updates keep insights current
• Backups before refresh mitigate data risk