Air Canada is transforming its operations through innovative artificial intelligence projects, leveraging a dedicated team of over 75 data science and AI professionals. Since November 2018, the airline has been developing custom AI solutions to address unique operational challenges that existing market technologies cannot solve.
The company has successfully launched several groundbreaking AI initiatives. A notable achievement is the On-time Performance Schedule Optimizer tool, which uses machine learning and simulations to predict and improve flight schedule performance. This tool enables the Network Planning team to identify potential scheduling issues months in advance, ultimately enhancing customer experience.
Another significant project is the maintenance scheduling assistant, which represents a quantum leap in planning capabilities. While current industry technologies allow maintenance scheduling up to 30 days ahead, Air Canada’s in-house solution will enable two-year continuous planning with dynamic variable considerations.
Additional AI projects focus on supporting contact center teams by providing enhanced guidance for customer queries and helping cross-functional teams streamline existing policies and procedures. By adopting a human-centered design approach, these solutions aim to empower employees and increase operational efficiency.
Bruce Stamm, Managing Director of Enterprise Data and AI, noted the strategic importance of building an internal AI capability. By tapping into the rich AI talent pools in Montreal and Toronto, Air Canada is not just adapting to technological changes but actively driving innovation in the aviation industry.
These initiatives demonstrate Air Canada’s commitment to leveraging artificial intelligence to improve operational effectiveness and customer satisfaction.
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