Disruption and Recovery Platform
When such occur on a single day it is no big deal, but when faced with back-to-back disruptions that include delayed flights, canceled flights, and overbooking, the real problem occurs: passenger loyalty breaks down.
Kquika, Inc is developing a machine learning-based solution that will help aircraft operators in the airline industry prevent flight disruption, eliminate passenger loyalty losses and ensure that airlines can continue operating at a profit
Description
When such occur on a single day it is no big deal, but when faced with back-to-back disruptions that include delayed flights, canceled flights, and overbooking, the real problem occurs: passenger loyalty breaks down.
Kquika, Inc is developing a machine learning-based solution that will help aircraft operators in the airline industry prevent flight disruption, eliminate passenger loyalty losses and ensure that airlines can continue operating at a profit
By using Kquika’s machine learning-based notification system, airlines will be able to recover from disruptions much faster, reduce passenger loyalty losses and avoid canceling flights altogether whenever possible
The system would allow airlines to recover from disruption much faster, reducing passenger loyalty losses and avoiding cancellations altogether whenever possible
The solution would allow airlines to engage in continuous operations during disruption hours (i.e., at night or during bad weather) and recover from disruptions much faster, reducing passenger loyalty losses and avoiding cancellations altogether whenever possible
When a weather issue is resolved, the system will automatically engage in finding an alternative flight where possible and offer them up as possibilities of rebooking the same passengers on another flight that is still in service or offering them seats on other airlines where possible
The solution would allow airlines to recover from disruptions much faster, reducing passenger loyalty losses and avoiding cancellations altogether whenever possible
When a ground delay is resolved, the system will automatically engage in finding an alternative flight and offer them up as possibilities of rebooking the same passengers on another flight that is still in service or offering them seats on other airlines where possible
The final use case is for passengers mainly affected by overbooking but also passengers that are trying to find a flight home when a delayed flight causes their departure time to be extended beyond their original arrival time
If rebooking the same passenger on another flight within 24 hours would be beneficial (i.e., reducing passenger loyalty losses), then Kquika will do so without any additional cost and any disruption to the other passengers waiting in line for rebooking.
Kquika, Inc is developing a machine learning-based solution that will help aircraft operators in the airline industry prevent flight disruption, eliminate passenger loyalty losses and ensure that airlines can continue operating at a profit
By using Kquika’s machine learning-based notification system, airlines will be able to recover from disruptions much faster, reduce passenger loyalty losses and avoid canceling flights altogether whenever possible
The system would allow airlines to recover from disruption much faster, reducing passenger loyalty losses and avoiding cancellations altogether whenever possible
The solution would allow airlines to engage in continuous operations during disruption hours (i.e., at night or during bad weather) and recover from disruptions much faster, reducing passenger loyalty losses and avoiding cancellations altogether whenever possible
When a weather issue is resolved, the system will automatically engage in finding an alternative flight where possible and offer them up as possibilities of rebooking the same passengers on another flight that is still in service or offering them seats on other airlines where possible
The solution would allow airlines to recover from disruptions much faster, reducing passenger loyalty losses and avoiding cancellations altogether whenever possible
When a ground delay is resolved, the system will automatically engage in finding an alternative flight and offer them up as possibilities of rebooking the same passengers on another flight that is still in service or offering them seats on other airlines where possible
The final use case is for passengers mainly affected by overbooking but also passengers that are trying to find a flight home when a delayed flight causes their departure time to be extended beyond their original arrival time
If rebooking the same passenger on another flight within 24 hours would be beneficial (i.e., reducing passenger loyalty losses), then Kquika will do so without any additional cost and any disruption to the other passengers waiting in line for rebooking.
