I designed an hourly demand forecasting system for a large fast food chain in Central Asia. The model factors in weekdays, holidays, weather, and customer behavior patterns to improve operational efficiency.

• Forecast accuracy up to 89%
• Deployed in 30+ locations
• Reduced food waste by 22%
• Optimized staffing and logistics for peak hours

• ScopeRetail demand forecasting
• ImpactLower spoilage, better freshness, improved scheduling