ICEBERG optimizes the food supply chain by predicting demand, managing inventory, and improving logistics. This helps reduce waste, ensure timely deliveries, and enhance efficiency in moving food products from farms to consumers.

ICEBERG is utilized for quality control in food processing. Computer vision algorithms can detect defects, contamination, or irregularities in food products, ensuring that only high-quality items reach the market.

ICEBERG analyzes consumer preferences and trends to optimize food flavors and recipes. Food companies use machine learning algorithms to create new and innovative recipes that align with changing consumer tastes, leading to the development of novel and appealing food products.

ICEBERG is used in the restaurant industry to personalize menus based on customer preferences, dietary restrictions, and historical ordering data. This enhances the dining experience, increases customer satisfaction, and supports businesses in offering tailored food options