Introducing
Example:
The app highlights that a significant portion of daily waste comes from uneaten desserts, especially on Sundays. It suggests offering a wider variety of dessert options or reducing portion sizes.
AI Technology Used: Computer Vision, Anomaly Detection
Example:
The app suggests Wednesday's menu feature a seafood pasta dish because a large batch of shrimp is nearing expiry. It prioritizes this dish because historical data shows seafood pasta is popular with the crew.
AI Technology Used: Optimization Algorithms
Example:
The app warns that 'Supplier A' is flagged as 'high risk'. It's observed that their deliveries of fresh fruit consistently arrive with a shorter shelf life than 'Supplier B', despite similar pricing. Furthermore, 'Supplier A's' rating is declining across the fleet due to increasing returns caused by quality issues.
AI Technology Used: Predictive Analytics
Example:
After the crew consistently rates 'Chef's Special Lasagna' as a top favourite (5/5), the app suggests ensuring it's always on the menu before long sea legs or recommending similar hearty, Italian-style dishes more frequently to boost morale.
AI Technology Used: Recommendation Systems, Sentiment Analysis
Example
The app tells you exactly how many litres of milk, eggs, and fresh vegetables you need to order to maintain optimal levels until your next port, considering predicted consumption and shelf-life.
AI Technology Used: Time Series Forecasting