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RubiQ Develops Powerful AI Tools for Airlines

By Arie Egozi

Technologies developed for defence are being adapted for civil use. Israel Company RubiQ, has developed a proprietary allocation engine based on AI and game theory models. The engine, which is currently planned to service the Israeli defence forces (IDF) candidate selection algorithm for recruitment automation, was employed to predict the highest chances of a successful placement given the candidate’s background information.

The engine is able to allocate tens of thousands of soldiers in real-time, considering both the soldier’s personal preferences and skill set under pre-determined recruiting policies.

After showing promising results, the start-up is now focused on leveraging its innovative technology throughout the airline landscape.

Today, airlines’ manual management of flight disruptions and spillage leads to costly re-accommodation fees, slow response times in a world where every second matters and poor customer service – the number one reason for customers never to return to the airline. But that is all a thing of the past.

Aircules – the company’s latest product, is an all-in-one platform which automates and optimizes the entire process end-to-end.

The platform operates on both spillage and disruptions, and is based upon simple steps:

According to the Israeli company, Aircules preemptively identifies flights at risk and affected passengers. Next, the AI passenger assistant informs and offers them personalized flight alternatives, enabling them to choose their preferred option and giving them full control of their journey. Thus, eliminating the passenger’s need to check their flight status or lineup in front of a check-in counter. Finally, all passengers are automatically re accommodated by the allocation engine and notified accordingly. This removes unnecessary re accommodation fees and greatly accelerates the airline’s response times, allowing front-line staff to focus on what matters and passengers to travel seamlessly.

Aircules utilizes a similar process for spillage. Flexible passengers of highly demanded flights are preemptively identified, offered rewards for moving to flights with lower load factors and then recommends accordingly, allowing for the resell of high value tickets to last minute customers at higher prices – generating a new source of revenue and increasing passenger load factors for the airline.

In order to further enhance their capabilities, the company has developed a prediction model which allows for precise identification of flexible passengers and advanced offerings of personalized alternatives and compensations – optimizing operational costs for the airline.

Since spillage and disruptions are acute problems faced by the entire logistics industry, RubiQ plans on expanding and leveraging its innovative technology for air cargo, ship freights, rail freights and truck freights – bringing to an end a long lasting problem which costs the industry trillions of dollars every year.

The company’s platform can be adapted to more defence missions streamlining different operations.

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