What challenges did SWISS face before AI implementation?

Create a joint data repository across flight operations data sources. Enable automated decision support for complex operational steering. Reduce fuel and airport charges while improving passenger experience and sustainability.

What was the impact of the AI solution?

Saved more than CHF 1 million in 14 weeks from rotation optimization. Optimized around 50% of SWISS network flights. Improved passenger experience by avoiding misconnections and simplifying operations steering. Reduced fuel consumption and carbon footprint.

Source

GCPProductionEvidence: Medium65/100

SWISS/ Lufthansa Group OPSD automated decision support for flight operations using Google Cloud AI/ML

Use case typeDecision supportUpdated Jun 13, 2026

SWISS, part of Lufthansa Group, uses Google Cloud AI and Machine Learning in the Operations Decision Support Suite (OPSD) to create a joint data repository for crew, passenger, rotation, and technical information. The modular data platform centralizes operational data above existing tools and silos, manages scenarios, and recommends optimal flight, rotation, and passenger-management actions for operations controller review. Controllers can execute recommendations in two clicks, and the first use cases focused on rotation planning and passenger management.

Organization: SWISS
Industry: Other
Location: Switzerland
Published: June 2026

Reported outcomes

50%

quantified impactOther quantified impact

Strategic outcomes

New product / capabilityBuilt automated operations decision support platformBetter decisions & insightCreated a unified operational data repositorySpeed & agilityEnabled rapid controller execution of recommendationsCustomer experience & trustImproved passenger experience and reduced disruptions

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 50%

Google Cloud Customer StoriesJun 3, 2026Customer storyInferred claimMedium evidence strength

Optimized around 50% of SWISS network flights.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: SWISS, Lufthansa Group
Provider: GCP
Maturity: Production
Linked source: Google Cloud Customer Stories

The modular data platform centralizes operational data above existing tools and silos, manages scenarios, and recommends optimal flight, rotation, and passenger-management actions for operations controller review

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Decision Support
2Operational Optimization
3Workflow Automation

Create a joint data repository across flight operations data sources.
Enable automated decision support for complex operational steering.
Reduce fuel and airport charges while improving passenger experience and sustainability.

Built OPSD as a modular data platform with Google Cloud AI/ML.
Replicated the airline's operational state in the cloud at minute-to-minute precision.
Used scenario management and optimization to suggest optimal actions from cost and customer-value perspectives.
Operations controllers review and execute recommendations in two clicks.

Technologies

Google Cloud AI Google Cloud Machine Learning

Saved more than CHF 1 million in 14 weeks from rotation optimization.
Optimized around 50% of SWISS network flights.
Improved passenger experience by avoiding misconnections and simplifying operations steering.
Reduced fuel consumption and carbon footprint.

Architecture

SWISS built the Operations Decision Support Suite (OPSD) as a modular data platform on Google Cloud, creating a joint data repository for crew, passenger, rotation, and technical information. Google Cloud AI and Machine Learning are used to analyze the operational state, manage scenarios, and generate optimal decision suggestions for operations controllers, who approve and execute recommendations in two clicks.

Sources & evidence1

Evidence: Medium65/100Evidence strength