Artificial intelligence in shadow – air cargo weeks

While many digital innovations in airborne still walking around and customer door, the most litter and may change the potential intelligent artificial intelligence. In american aircraft cargo, the predicate algorithm is currently targeting a strong operating operational problem: Shipment that doesn’t look like a bached.

Beyond the reservar

“We’re looking for our transfer information, and we really decide, or we will really show,” our customers will remember. “” They may call us 1,000 pounds, but we know through our artificial intelligence engine. “

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This way reflects transactions from transfers to the actual operating forecast. Synthetic intelligence further is not the same as the information with the operation, because it is correct for the lack of humanitarian estimates. “We are not necessarily focusing on exile,” We are looking at the experimental experience, and we are trying to put this process in the digital process. “

According to HARDS, this system already lives. The reservation system modernizes weights based on the expected birthday, and from the digital promise for significant birth. “We will go before and only renew their documents to ensure that the operation is working as soon as possible,” he said.

Automated as internal position

The current automated portion of the current automatic cargo on the American planes is not able to meet customers. The focus is in the removal of destruction in the rear processes, from the field resource resources, not against page.

“We use automated and digiting to take the permanent job, especially those who can be strived to improve it, and generally improve everyone’s activity.”

These internal lenses are also forming workforce planning. “Everything we can free the people’s time and energy through protection work or frequently, we can actually open an Englishmen.” “All he is able to get out in the market, be very creative in the market, and find the best solutions.”

At present, the strategy focuses on the means that reduces the error, pressuring the pressure of course, support human decisions. “We are actually working for work … for maintenance in the end of the back, we measure themselves from maintenance.”

From guidance jobs to solve human rights

The most bright results of the American digital strategy was a change how to use the face line teams. Instead of removing employees, automated is designed for free from their lower aggregate works.

“Our philosophy, especially on the operation, what we can do time and energy through bad work or repetition, we actually open the unity.” “Ability to solve problems in the warehouse for customers.”

It’s less than diminishing work than reducing work. Add Harding added: “They use their time well.” “We looked at the repetition of this everywhere we can.”