ROIs Crew Management Solution

Pain Points & Requirements:

• Manual processes resulting in inaccurate pairing
• Slow performance for a single pairing run
• Decision making limited by a lack of multiple scenario comparison

Values：

1. AI Powered Optimization
2. Multiple scenarios with multiple rulesets
3. Multiple KPI objectives considered 

• Performance Enhancement → Up to 50% Optimizer run time saving
• Productivity Improvement → Duty Days decrease, Block Hours Increase  
• Cost Savings → Up to 5.4% Operation cost reduction

Key Features:

• Flexible mode to manage volatile and changing schedules
• Customized pairing label adapts to business  and regulatory changes
• Integrates information from historical data (flight irregularities, crew absenteeism, etc.) to create a better executable roster
• Swiftly addresses impromptu situations like extensive flight or regulatory modifications, crew strikes, and more. 

Pain Points & Requirements:

• Poor executable scheduling
• Manually managing crew absences and identifying the most suitable crew members for replacement resulting in low productivity and service gaps

Values：

1. Automated best-fit crew recommendations
2. Automated crew absence handling
3. Automated interface to capture and update crew qualifications
4. Disruption analysis embedding prevention measurement in the planning phase

• Planning Robustness → Potential disruption alerts & recovery response
• Operation Quality → Reduced human errors

Key Features:

• Automatically check legality in real time
• Offer optimal fit and standby functions to resolve irregularities
• Analyze historical data to provide feedback on improving roster quality for future disruptions
• Paperless e-flight log for accurate & prompt post flight data collection
• Auto process trip trade
• Automated best-fit crew recommendation & crew absence handling

Pain Points & Requirements:

• Unable to accommodate crew flight requests and duty swaps
• Lack of effective approach to motivate or penalize crew
• High absentee rate due to demoralized crew

Values：

1. Accommodates crew requests and swaps  
2. Considers crew special requests
3. Automates crew absence process

• Crew Satisfaction → Crew survey shows 21% satisfaction improvement
• Crew Absence Rate  → Improvement from 2.1% to 0.8%

Key Features:

• Accommodates preferences and duty swaps
• Automated crew absence process using Crew App
• Point-based system to influence crew behavior throughout crew planning life cycle
• Improves crew satisfaction and quality of life
• Improves operational stability and reduces flight disruptions caused by crew member absenteeism

Pain Points & Requirements:

• Incomplete settlement approval process, prone to fraudulent accounts during settlement review
• Lack of real-time process monitoring and outdated management methods prevent quality assurance in real-time, leading to resource wastage

Values：

1. Precisely controls crew duty period
2. Digital standardisation of logistics support
3. Improve management efficiency 

• Improved cost control 
• Electronic reconciliation 

Key Features:

• Manages the entire business process from accommodation allocation, pick-up, check-in, departure, drop-off to service evaluation
• Improves the airline's management service level
• Effectively regulates crew layover services and significantly reduces associated costs

Pain Points & Requirements:

• Numerous types of allowances
• Each type of allowance has complex calculation rules and lacks flexible configuration
• Different calculation methods for allowances need to be set for different groups of crew members

Values：

• Real-time and Effective Allowance Management
• Effective Calculation and Publishing → Reduced Manual Errors and Efforts
• Allowance Adjustment Capabilities → providing flexibility to make necessary adjustments 

Key Features:

• Multiple calculation rules for allowances can be configured.
• Different types of allowances can be set
• Different allowance rates can be configured for various crew groups, with support for setting priorities
• Allowance simulations can be performed based on crew rosters within different time frames
• Allowance calculations and publishing can be carried out for active rosters, with the option for fine-tuning allowances