Singapore Airlines (SIA) has launched a project to use artificial intelligence and machine learning to predict passengers' consumption patterns in a bid to reduce in-flight food and beverage (F&B) waste. The initiative results from a finalist's idea from last year's SIA AppChallenge, with one of the categories seeking solutions to better track the amount of F&B waste and collect data about passengers' consumption habits to improve efficiency. SIA says that it currently plans meal services based on flight duration and flight timing, but there is still waste on certain flights. The airline relies on customer surveys, data analytics and staff feedback to optimize F&B on board. The airline currently allocates manpower to physically count and record the number of unconsumed meals for certain flights, which is a tedious process.