Save Time & Money While Improving Revenue Results

Kambr Solutions provides a software platform empowering analysts to manage more flights more efficiently at less cost. The platform unconstrains the revenue management processes of airlines by giving operators the tools and know-how to navigate the challenges of today’s airways. 

Revenue management is on the cusp of transformation. Airlines need systems that embrace new data and technology and manage the entire commercial process. Kambr has the domain expertise and vision to deliver this future.

Steven Greenway, President

Integrated Workflow

We recognize that solutions have different types of users. By integrating data with tailored workflows, we develop software that accomplishes your objectives via one unified commercial program, joining processes like revenue management, sales, network planning, marketing and distribution. 

Automation

It’s time to ditch the spreadsheets and manual grunt work in favor of productivity, accuracy and execution. Our automation process creates efficiencies by building workstreams. Integration with partner software solutions allows you to leverage more capabilities and realize positive results immediately after deployment. 

Applied Data Science

Everyone has troves of data, but it’s of no use unless it’s structured and processed into meaningful applications. Insight-based decision making, accurate forecasting and intelligent deployment are what is needed today. Rather than focusing on input adjustment to produce a valid output, our modelling framework can be fine-tuned to deliver more accurate results. Read more about this in the whitepaper below. 

Intuitive User Interfaces

While adjacent industries make future aspirations present-day realities, commercial aviation software remains stuck in the past. Our software streamlines each task and promotes analyst engagement. The result is a fast, easy-to-use and intuitive user experience. Day-to-day users need to be empowered via seamless functionality, while visionaries can execute without being hindered by their own tech stack.  

Learn More About Our Approach to Data Science

If you'd like to learn more about our philosophy, we'd love to hear from you. You can better understand our approach to data science by reading our whitepaper on meta-algorithmic learning for practical machine learning applications.
 

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