Restaurants, cloud kitchens, and food delivery platforms struggle to predict customer demand accurately. Sudden spikes in orders, seasonal changes, weather conditions, and customer preferences create operational challenges. food delivery demand forecasting using web scraping and AI helps businesses solve these problems by collecting real-time market data and analyzing patterns with artificial intelligence.