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    • ROIs Crew Mgmt
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  • CASE
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Solaris Fares Management Solution

Solaris Fares Management Solution is a fully integrated, AI-driven solution designed to help airlines navigate complex industry challenges, including fluctuating demand, increasing competition, and operational inefficiencies. By leveraging advanced automation, dynamic fare management, and data-driven decision-making, Solaris optimizes fare structures, enhances revenue management, and simplifies compliance with industry regulations. The solution’s key capabilities include real-time fare updates, streamlined distribution processes, and comprehensive reporting tools, allowing airlines to react swiftly to market changes and maintain competitive pricing strategies. With Solaris, airlines gain tangible value through improved operational efficiency, reduced manual errors, and increased profitability.

ATPCo Data Processing

Fully supports ATPCo specifications, leveraging innovative technology to enhance data processing efficiency and accelerate query speed 

  • Strictly complying to ATPCo data specification, including Fare, Rule, Fare by Rule, Footnote, Fare Class, RBD, Routing, YQYR etc..
  • Fast data processing, 1 - 5 mins for ATPCo hourly updates with 100% accuracy.
  • Innovative wide-table data schema to enhance the data query performance.
  • Data consistency and integrity with data recovery supported.

Integrate with multiple data sources to provide full transparency of all fares in the market

  • Web Fares such as Infare...
  • Scraping internet fare data such as OTA, Airline websites etc.

Data contains:

  • International Fares
  • Add-on 
  • Rule and Footnote

                Record 0, Record 1,Record 2,Record 3,Record 4/5,

                Record 6 (Chart 1, Chart 2), Record 8,Supporting Tables,

                Rule text

  • Routing
  • Construction Data
  • Service Fees S1、S2、S4-S8 (YQ/YR, ticketing fee, optional service, baggage, branded fares)
  • Tax
  • Answer Table

Fares Monitoring

Pain Points & Requirements:

  • Large volumes of Fares Updates from ATPCo on hourly basis
  • Ability to quickly analyse competitors’ fares changes

Values:

  • High performance system architecture
  • Real-time automated competitors’ fares monitoring
  • Alerts between host and competitors’ fares

Key Features:

  • Automatically monitors competitors’ fares changes, e.g. fares, rules, footnotes, YQ/YR etc.
  • Real-time monitoring of fares changes across public/private sales channels
  • Alert engine to trigger system alert for competitors’ fare changes
  • Tracks historical trends of fares, current vs past
  • Automatically matches competitors’ fare changes

Case Study

Pricing Strategy

Pain Points & Requirements:

  • Lack of decision-making capabilities to respond 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.

Case Study

Fares Creation

Pain Points & Requirements:

  • Lack of automation tools to release Fares Analysts from manual process
  • Human-errors in manual fare creation process

Values:

  • Fully automated fare creation capabilities for fare components
  • Fares updates in batches to improve efficiency and productivity

Key Features:

  • Create multiple fare packages in batch based on user defined system settings such as O&D, fare class, and fare increase/reduce etc.
  • Generate fare basis code based on customized rules
  • Support fare batches updates including add/edit/cancel etc..
  • Seamless integration with Fare Publishing functional module for automatic fare filing

Case Study

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

Case Study

Fares Verification & Publishing

Pain Points & Requirements:

  • Automated fare filing capability to reduce the manual workload
  • Verification before fares filing to avoid revenue loss
  • Cost saving for fare filing outsourcing

Values:

  • Fare verification rule engine to reduce fare errors
  • One-click fare filing capability via ATPCo API and FTP uploading

Key Features:

  • Fares verification before filing – Tariff, O&D, Fare Basis Code, duplicate fares, footnote, currency, and effective date etc.
  • One-click fare filing based on ATPCo specification, including: Fares, Add-on/Footnote, such as record2, record3/Rules, record1, record2, record3/Routing
  • Automatic fare publishing via ATPCo APIs and FTP uploads
  • Fare filing auditing logs and E-mail notification

Case Study

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 intelligence report to show the sales performance of markets

Key Features:

  • Flexible and configurable analysis reports 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

Case Study

Management Tool

Pain Points & Requirements:

  • More productive approach to manage fare basis codes and footnotes

Values:

  • Automatic fare basis code generation based on business rules
  • Centralized footnote management

Key Features:

  • Automatically generates fare basis codes based on customized business rules to standardize the FBC naming
  • Generates record 1 automatically based on rules of fare basis codes and publish
  • Fare basis code verification before filing.
  • Centralized management of footnotes – add/edit/remove/query etc.
  • Apply and update footnotes to different fares via ATPCo fare publishing
  • Summarize the usage of footnotes

Case Study

ROIs Solution Advantages

ROIs

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As a Canadian-based company, ROIs is fully committed to adhering to the highest standards of compliance with Canadian laws and regulations. We prioritize data privacy and security, ensuring that our practices align with regional and industry-specific requirements.

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