namanUIUC/Deep-Reinforcement-Learning-AAP
DeepAir Solutions : Price recommendations for ancillary facilities for airline using deep reinforcement learning. AAP refers to Airline Ancillary Pricing.
This tool helps airline revenue managers optimize pricing for ancillary services like extra legroom or baggage, generating recommended price points for these add-ons. By inputting historical sales data and current demand, it outputs dynamic price suggestions, aiming to maximize revenue for airlines.
No commits in the last 6 months.
Use this if you are an airline revenue manager looking to strategically adjust ancillary service prices to improve profitability.
Not ideal if you need a solution for core flight ticket pricing or general retail pricing outside of airline ancillaries.
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12
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 09, 2019
Commits (30d)
0
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