There is no room for technological stagnation in time-critical logistics
Prior to the implementation of AI and machine learning solutions, shipment visibility was dismal, and about one in three time-critical shipments arrived late.
Prior to the implementation of AI and machine learning solutions, shipment visibility was dismal, and about one in three time-critical shipments arrived late.
Airspace moves goods fast, with a mix of technology, air transport, ground couriers and people who literally carry a critical product on a flight and to one’s door. Investors just gave the company a big pile of money to play with.
COVID’s disruptions have created an acute awareness of the need for innovation.
For specialized industries such as health care and aerospace, the stakes of supply chain interruptions and service failures have never been higher.
Companies like hospitals and automotive manufacturers often need to receive equipment and other goods within a short window of time to avoid operational shutdowns. For these companies, service failures are terrifying.
Rusnak conducted the most substantive machine learning in logistics presentation this writer has seen,
Surgeons save lives, but it is often the transportation and logistics companies working behind the scenes that make their jobs possible.
When a patient is waiting on an organ to arrive in order to receive a life-saving transplant, every moment matters.
Integrating technology into the freight forwarding process can provide a never-before-seen level of transparency, paving the way for faster and safer shipping.