Pricing Strategy
Pain Points & Requirements:
- Lack of decision-making capabilities to response to market changes
- Lack of visibility to market competition
Values：
- AI algorithms and machine learning enabled pricing strategy
- Real-time automatic competitors’ fares tracking
- Automatic pricing based on market analysis and historical performance
Key Features:
- Competitive pricing strategy based on AI algorithms and machine learning
- Monitor and track competitors’ fares changes – O&D, seasonality, price difference, for advanced booking
- Monitor the fare structure of competitors, response to competitors’ changes based on pre-defined structural fare strategy
- Rule based, AI algorithms enabled fares optimization based on historical fares data, market analysis – QSI, competitors’ actions etc.
Approval Management
Pain Points & Requirements:
- Unique internal contract approval process
- Multi-level approval process
Values：
- Flexible workflow engine to support users self-define internal approval process
- Multi-level routine/ad-hoc approval process with E-mail notifications
Key Features:
- User-defined workflow engine to enable users to create the internal approval process
- Support to create n-tier approval process based on the internal organization structure
- Powerful system interfaces to support the integration with 3rd party internal workflow management systems
Post Analysis
Pain Points & Requirements:
- Lack of visibility to the performance of published fares
Values：
- Post analysis capability based on market performance data – MIDT, DDS
- Graphical intelligent report to show the sales performance of markets
Key Features:
- Flexible and configurable analysis report to review the performance of published fares
- Summary of published fares, market lowest fares, fares changes, pricing strategy etc..
- Integrated with multiple data sources such as MIDT, DDS, and internal data