Everyday Data into Intelligence.
A Data-Driven Path to Air Cargo Profits.

The 14-17 day booking window represents a pivotal phase for cargo carriers, but it is rife with inefficiencies. The formidable challenge lies in, effectively managing the dynamic factors associated with fluctuating cargo capacity, unforeseen aircraft modifications and unexpected booking demands within this brief timeframe. This obstacle becomes a barrier for cargo carriers to overcome.

Within this short timeframe, a centralized capacity and revenue management team must make critical decisions on capacity adjustments, hurdle rates and bid prices to ensure flight profitability, load factor, customer satisfaction and a competitive edge in the market. The team navigates these complexities to optimize outcomes for every flight during the booking window.

Booking Window Optimization

Aircraft type changes

Aircraft type changes are inevitable and can be caused by several factors, such as:
Changes in passenger demand: Airlines may switch to smaller or larger aircraft depending on the number of passengers booked on a particular route.
Aircraft repair and maintenance: Scheduled or unscheduled maintenance needs may necessitate using a different aircraft.
Unforeseen demand for cargo: Sometimes, airlines need to adjust their fleet to accommodate unexpected cargo needs.

Passenger forecast changes

Changes in passenger forecasts directly impact passenger baggage utilization, which subsequently influences available cargo capacity and necessitates adjustments to the configured cargo ULDs for the flight.
This interconnected relationship impacts the need for capacity planners for optimizing the overall cargo capacity
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ULD availability

While aircraft types are configured with the ideal mix of ULDs based on booked shipments, the actual ULDs available for a specific flight can be affected by various factors. These include the planned return of ULDs from other airlines or shippers, ULD repairs, and unforeseen damages. If the pre-selected ULDs become unavailable due to any of these reasons, it necessitates adjustments to the planned cargo space utilization.

Unforeseen booking changes

Cancellations of high-value cargo (e.g., cars) require adjustments to optimize remaining space.
Unexpected no-shows on anticipated BSA/PB allocation bookings create last-minute ad hoc opportunities but with limited time for efficient optimization.
Cancellations of other flights in the segment lead to sudden demands to accommodate offloaded shipments, further complicating space allocation.

These are very few examples for the reason why the goal post is always changing but the revenue management & capacity planners are always asked to hit the goal.

Leverage our AI models to analyze a specific flight segment and its bookings, including connecting flights, to provide actionable recommendations in real-time.

Receive suggestions on ULD build plans, overbooking limits, ULD configurations and shipment re-assignment to optimize individual flights for efficiency and cost.

Upload booklist & flight data through our console online and instantly receive flight optimizations for D-5, D2, D-0 etc.,

  • Optimized capacity & all critical shipments onboard
  • Improved profitability
  • Enhanced customer satisfaction

Launch

We are meeting with industry experts and running extensive testing on our AI models.

Public launch

AI model output and showcase our team structure going publicly advertising our products.

Product launch

We’ll launch our inaugural Booking Window Optimization product with few key clients