Maersk, the global container-shipping company, runs a service called Captain Peter, built on its Remote Container Management infrastructure, to keep watch over refrigerated “reefer” containers carrying perishable goods like food and pharmaceuticals. Reefers are fitted with sensors and connectivity so that their condition can be tracked continuously, even mid-ocean, rather than discovered only when the box is opened at the destination.
Captain Peter surfaces near-real-time data on each container - temperature, humidity, atmosphere (such as O2/CO2 levels), and GPS location - and notifies the customer when something needs attention, supporting better decisions while cargo is still in transit. The motivation is concrete: suboptimal shipping conditions account for a large share of fresh-produce loss, so spotting a cooling problem early can save an entire shipment. Maersk introduced the Captain Peter assistant on its revamped Remote Container Management platform in 2019.
For a general reader, this is a representative case of AI and connected sensors applied to the cold chain - the invisible logistics that keep food and medicine viable across oceans - turning shipping from a black box into a continuously monitored, data-driven operation.