Project Overview
Building AI scheduling software for an aviation technology company presented a number of challenges. Massive datasets that included timetables, aircraft rotations, crew rules, and airport curfews required accurate modeling so as to avoid conflicts. Planners also needed the ability to try out multiple "what-if" scenarios and look at differences without resorting to spreadsheets. Integrating the solution into existing airline scheduling software demanded speed and security with guarantees of the AI being transparent about its justifications for optimization decisions rather than offering bare numbers.
Large timetables, aircraft rotations, and constraints like crew, maintenance, and curfews needed sophisticated modeling.
Planners wanted to test many “what-if” cases and see gains without getting lost in spreadsheets.
The system has to exchange data with legacy scheduling systems securely and efficiently.
The AI in aviation system ought to illustrate why a plan is optimal, not just generate a number.
Solicy addressed these challenges by designing scalable, explainable AI scheduling software. The team created a normalized data model that cleaned and validated airline schedules, ensuring accurate optimization. Using AI for scheduling, we created a scenario management module that enabled planners to test multiple options and compare them with clear visualizations and side-by-side data. Secure APIs and SFTP connectors ensured seamless integration with existing airline planning tools. To enhance trust, explainability panels highlighted the drivers behind each recommendation, such as block times, turnaround times, and connection impacts.
Normalized data model
We built importers that clean schedule files, map constraints, bring flight optimization, and validate fleets and airports before optimization.
Scenario manager and diffs
Users can clone a plan, run alternatives, and view route, block hour, and connection changes in clear tables and charts.
Connectors to planning suites
Secure APIs and SFTP jobs moved schedules in and out with logs for audit.
Working with Solicy transformed how we approach airline scheduling. Their team not only built a powerful AI optimization platform but also made it transparent and practical for planners. The improvements in schedule speed, utilization, and stability have been game-changing for our operations.
CEO at OptiflyThe platform is constructed using advanced tools that allow airline planners to manage complex schedules, perform AI-driven optimizations, and make data-driven operational decisions.
Automated importers that clean and validate large airline schedules, ensuring accuracy before optimization.
Tools to clone, test, and compare multiple schedule alternatives with clear visual insights.
Secure APIs and SFTP-based integrations to synchronize with existing airline scheduling software.
Transparent AI insights showing key drivers like turnaround time, block hours, and connection efficiency.
Tables, charts, and comparisons to help planners evaluate gains and trade-offs quickly.
The solution delivered measurable improvements across AI in airline operations, from efficiency gains to disruption reduction, while enhancing trust in AI-powered scheduling.
Reduced manual work through automated optimization and scenario analysis.
Improved planning stability reduced costly disruptions.
AI-driven optimizations led to better fleet productivity.
Clear scenario comparisons and explainability built trust across operations teams.
Within a span of just 5 months, a group of 5 Solicy experts created production-ready airline scheduling software that cut schedule build time by 35%, last-minute interruptions by 20%, and improved aircraft utilization by up to 5%, directly affecting airline efficiency and profitability.
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