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Network Disruptions

Managing disruption recovery
for 32% of US flights daily

Aircraft Recovery Optimizer

Manage complex IROPS recovery decisions

  • Quickly generate optimal flight cancellation, delay, swap, diversion options
  • Solve real-time and plan-ahead disruptions
  • Solve by exception and scenario-based network disruptions
  • Edit the solution based on your experts' insights
  • Minimize the impact to costs, customers, crews, and connections
  • Improve on-time performance by getting back to normal operations sooner
  • Communicate solution options with stakeholders
  • Commit the solution
  • While considering the impact to costs, customers, crews, connections, and more
Take a quick look
Take a 3-minute tour to understand more about our IROPS Recovery Optimization Solutions.

Schedule Optimizer

Add, swap, and consolidate flights up to the day of departure

Agile airlines are tapping into near-term revenue opportunities by adjusting schedules within days of departure, versus weeks or months. SlickOR's Schedule Optimizer helps airlines optimize their schedule based on booking behaviors right up to day of operations by:
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  • Adding flights
  • Swapping equipment type
  • Cancelling and consolidating flights
  • Repairing the flight schedule disruptions caused by such changes
 
In order to:
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  • Adjust and align the flight schedule to passenger demand
  • Maximize passenger load factors and price per seat
  • Improve airline profitability and customer satisfaction

How can an airline align the flight schedule, published many months ago, with actual booking behavior, closer to day of operations?

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With the right balance of software, data analytics and knowledge, airlines can add tens of millions of dollars to their bottom line by a willingness to adjust and align the planned flight schedule with the passenger demand. 

Providing a Flight Path to Stability and Profitability During Uncertainty

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Cancels Optimizer

Manage large-scale flight schedule reductions

Used by the second largest US airline for COVID-19 schedule reduction optimization, across the entire network, including partner carriers.
  • Quickly generate optimal flight cancellation and swap options
  • Solve real-time and plan-ahead disruptions
  • Solve scenario-based network disruptions
  • Edit the solution based on your experts' insights
  • Minimize the impact to costs, customers, crews, and connections
  • Improve on-time performance by getting back to normal operations sooner
  • Communicate solution options with stakeholders
  • Commit the solution
  • While considering the impact to costs, customers, crews, connections, and more
Take a quick look
See how SlickOR's Cancels Optimizer can drawdown the flight schedule, with least-impact to aircraft, passengers, crew, costs, and other KPIs.
 
And how SlickOR's schedule reduction service will work.
Airlines Leverage Optimization Technology to Manage COVID-19 Flight Schedule Reductions

Airlines Leverage Optimization Technology to Manage COVID-19 Flight Schedule Reductions

COVID-19 has severely impacted airlines worldwide, bringing unprecedented changes to travel. Until the virus outbreak, airlines had seen continuous and rapid passenger growth since 2010, says The Points Guy. And as news about the pandemic evolved rapidly - sometimes hour by hour - travel decisions continued to change and passenger demand slipped backward quickly...

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One airline was already prepared

to the best of its ability...

“Before [Cancels Optimizer], United probably canceled more flights than it needed to... The new tool identifies the

best flights to cancel that will disrupt the operation the least...”

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T. Lee, VP Network Operations

— Karp, Gary. "5 reasons United might finally be improving its on-time rate." Chicago Tribune. 12 Nov 2015. Web.

"United took multiple hits from major storms in 2017, including Hurricane Harvey. Yet United had fewer cancellations in 2017 than it has ever had..."

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Greg Hart, COO
— McCartney, Scott . "The Best and Worst U.S. Airlines of 2017." The Wall Street Journal. 10 Jan 2018.

Schedule Optimize
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