SITA acquires Big Blue Analytics to expand AI-based airline disruption management

SITA acquired Big Blue Analytics, maker of OCCam, an AI platform that cuts airline disruption costs by up to 30%. Mid-sized carriers spend $70-80M yearly on disruptions; OCCam addresses aircraft, crew, and passengers simultaneously.

Categorized in: AI News Management
Published on: Jun 02, 2026
SITA acquires Big Blue Analytics to expand AI-based airline disruption management

SITA Acquires Big Blue Analytics to Strengthen Airline Disruption Management

SITA has acquired Big Blue Analytics, the developer of OCCam, an AI platform that helps airlines recover from operational disruptions. The deal expands SITA's strategy to build an Intelligent Operations Control Center that combines planning, monitoring, and recovery functions into one system.

Airline disruptions cost carriers billions annually. A mid-sized airline operating more than 100 aircraft can spend between $70 million and $80 million per year managing disruptions alone.

How OCCam Works Differently

OCCam evaluates multiple operational constraints at once-aircraft availability, crew scheduling, passenger itineraries, and maintenance requirements. Traditional systems address problems sequentially. OCCam generates integrated recovery plans that account for all variables together.

The platform ranks recovery options and shows airlines the cost, operational performance, passenger impact, and regulatory implications of each choice before implementation.

Airlines using OCCam have reduced disruption costs by up to 30 percent, according to SITA. The platform also tracks outcomes so operators can measure savings and demonstrate return on investment.

Broader AI Strategy

SITA already supports more than 100 airline Operations Control Centers globally through products like SITA Mission Watch and SITA OptiFlight. The Big Blue Analytics acquisition strengthens the company's investment in AI systems, including large language models and agent-based tools.

SITA plans to extend OCCam's capabilities to predict disruptions earlier, automate routine recovery processes, and simplify operational decision-making.

David Lavorel, CEO of SITA, said airlines have traditionally treated disruption as a fixed cost. "In an increasingly volatile environment, the ability to recover with the same agility becomes critical," he said. "The airlines that act on this first will recover faster, fly more, and protect more revenue than those that wait."

Yann Cabaret, CEO of SITA for Aircraft, said the acquisition represents the first step toward integrating planning, monitoring, and recovery into one system. "AI allows us to handle multiple constraints at once and tailor decisions to each airline in a way that was not possible before," he said.

For management professionals overseeing airline operations, understanding AI Agents & Automation and AI for Management is increasingly relevant to operational efficiency and cost control.


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