Airports must plan across a wide range of time horizons, from just a few months to over 25 years.
To support budgeting, capacity planning, and on-demand analysis, they develop multiple traffic scenarios. Both operational and strategic teams depend on accurate forecasts, from individual flight movements to broader market trends.
Yet, flight schedules are constantly shifting due to seasonal changes, airline strategies, and infrastructure developments. Legacy tools often keep data in silos and require time-consuming manual workarounds.
Today’s forecasting teams need more agile, collaborative, and granular solutions to keep pace with the evolving aviation landscape.
The Solution
Polaris – An intuitive interface built to simplify scenario planning, enable smart seat load and cargo assignment, and streamline flight scheduling.
Our solution transforms airport schedule and traffic scenario management by delivering flexibility and efficiency. Whether for budgeting, capacity planning, or ad hoc analyses, it enables users to quickly build and adjust accurate forecasts tailored to any context. With intuitive features like rapid flight creation and replication, users can model a typical week or an entire season in just minutes.
Real-time editing with instant validation allows smart, customized adjustments by carrier, group, or time period, while filters and parameters can be stored to simplify repeated analyses.
Our platform promotes seamless collaboration through easy scenario sharing, full version history, and rollback capabilities to correct errors. Designed for speed and openness, it smoothly imports data from multiple sources Cirium, SSIM, OAG, or historical records with automatic alerts for inconsistencies.
Robust master data management ensures clean, reliable references across airlines, airports, aircraft types, and more, while fast export options facilitate smooth integration with external systems. This is how our solution fully meets modern airport operational needs, offering an agile, collaborative, and precise approach to forecasting.
Forecasting & Scenario Planning
Plan across horizons, from next season to 25+ years ahead.
With Polaris’ Scenario Management Module, airports can quickly create, duplicate, or archive scenarios across flexible timeframes. Whether it’s budgeting, long-term capacity planning, or ad hoc impact analysis, Polaris gives forecasters a central “Scenario Explorer” to organize and compare outcomes.
With Polaris’ Scenario Management Module, airport forecasters can easily create, duplicate, or archive planning scenarios across flexible timeframes. Whether for budgeting, long-term capacity planning, or ad hoc impact analysis, Polaris provides a centralized Scenario Explorer to organize, compare, and refine outcomes.
Highlights:
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- Define flexible timeframes for scenarios – from a “typical week” to a full season or a 25-year horizon
- Create, duplicate, and archive scenarios with a visual Scenario Explorer UI.
- Seamless imports from past scenarios, Cirium, SSIM, OAG, or historical DBs – no reformatting required.
- Automatic mapping of fields to close matches ensures smooth imports
- Automated data quality checks and direct feedback prevent errors before they spread.
- Filter by airline, region, or time period to focus on relevant slices.
👉 Outcome: Airports gain clarity and speed in exploring future traffic and capacity needs.
Flight Schedule Management
Build and refine flight schedules with the agility airports need.
Instead of wrestling with static tools, Polaris’ Schedule Composition Module combines bulk editing and detailed expert views, backed by instant validation.
Highlights:
- Organize scenarios by airline, region, or timeframe for clear comparisons.
- Aggregate view for group edits (by airline, aircraft type, or route).
- Expert view for granular updates on specific flights
- Instant ingestion and visualization of large schedules, even at seasonal scale
- Maintain version control and rollback, so teams can safely test and adjust.
👉 Outcome: Entire seasons can be assembled, validated, and shared in hours instead of weeks.
Passenger & Cargo Load Assignment
Smarter load forecasts with a balance of automation and control.
Polaris takes the guesswork out of assigning passengers and cargo. With Load Data Management, forecasters can choose between rule-based adjustments and explainable machine learning.
Highlights:
- Forecast seat load factors (SLF) by copying from historical data or training ML models.
- ML forecasts come with automatic explanations, so planners see what drives predictions
- Identify flights with missing SLF or cargo data instantly.
- Compare or replace with SLF from historical data or from other scenarios
- Apply changes at bulk (e.g., by region, carrier, or aircraft type) or refine individual flights.
- Get a direct visual feedback of the impact of your changes
👉 Outcome: Reliable load forecasts that combine accuracy with transparency and flexibility.
Reporting & Analysis
Turn scenarios into insights and exports in minutes.
Polaris streamlines reporting with a flexible Reporting & Export Module that works seamlessly with existing airport workflows.
Highlights:
- Export at flight-level or aggregated views, tailored to operational or financial needs.
- Save and reuse report templates for recurring analyses.
- Filter by scenario, airline, date, or region for targeted reporting.
- Instant exports to Excel or structured data formats for integration into financial models
- Compare two scenarios over time and across all existing dimensions in your data.
- Track scenario impacts over time with built-in summaries and comparisons.
👉 Outcome: Forecasting teams spend less time formatting data, more time advising decision-makers.
Master Data Management
The foundation for clean, consistent, and trusted forecasting.
Polaris ensures forecasts are built on solid references with a robust Master Data Management Module.
Highlights:
- Centralize reference data for airlines, aircraft types, airports, countries, and flight types.
- Create custom groups (e.g., “regional carriers,” “widebody fleet”) to report on.
- Validation layer checks imports and flags mismatches instantly
- Dynamic linking keeps schedules, loads, and reports aligned.
- Supports LMTOW calculation logic for accurate financial and capacity planning.
👉 Outcome: Airports get a single source of truth, minimizing errors and improving trust in every forecast.
What They’re Saying
Putting AI to work in your operations
JETPACK.AI
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Jetpack SRL/BV
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