Cargo

Transport Your Business to a New Level with PROS Real-Time Big Data Apps for Cargo Companies

When it comes to moving their business forward, outperformers vigorously tackle any obstacle that stands in their way. They let nothing prevent them from reaching their goals. That's why, even with a slow economic recovery and the sharp drop in demand that has created losses across all regions and trade routes, outperformers in the air cargo industry are positioning themselves for growth. With rising fuel costs and competition from cheaper means of transport, such as sea- and land-based freight, you might wonder why these companies feel so optimistic. The answer? Outperforming cargo companies know they have a valuable treasure in the mountains of data they've already collected about their customers, their competition, and their markets. These companies are turning to PROS to provide them with the tools and services they need to decipher this raw data, which, in turn, helps them maximize revenue opportunities. PROS real-time big data applications can transform your big data into increased market share and profitability.

Big Data Can be Your Most Valuable Cargo
How do you shift your focus from solely filling empty space to maximizing the contribution of every piece of cargo? And how do you make better use of capacity by communicating better within your network? What's the optimal overbooking risk you can take to minimize capacity spoilage? What is an acceptable trade-off as a result of changes in schedules, demand, rates, and customer value? PROS helps you overcome these challenges through powerful insights that give your revenue management teams the knowledge and confidence they need to book space at increased revenue levels.

With PROS big data apps, you can outperform in your markets:

  • Drive revenue growth through the optimal use of capacity by sharing information among cargo and passenger revenue management systems.
  • Determine the optimal mix for every shipment, balancing costs, rates, capacity, and demand.
  • Evaluate shipment requests based on real-time, dynamic pricing.
  • Generate network-optimal hurdle rates that reflect real costs, as well as opportunity costs.
  • Balance overbooking risk and capacity spoilage.