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Cognition

Success Story

Evaluating the Use of AI by Competitors in the Logistics Industry

Impact

0%

Revenue increase in the subsequent year by partnering with two key AI technology and cloud service providers

0%

market share increase in the next year, using a strategic AI-roadmap to leverage innovations in specific offerings

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    Client

    A global logistics provider

    Products

    Aerospace, Defence Logistics

    Industries

    Logistics

    target geo

    Global

    business objective

    • Our client – a leading provider of aerospace logistics services– was facing increasing pressure to maintain its competitive edge in a rapidly evolving market. Competitors were beginning to implement AI to predict aircraft maintenance needs, fleet optimization, and real-time freight monitoring and forecasting.
    • Against that backdrop, the client aimed to conduct a competitor intelligence study to evaluate how AI was being adopted in the aerospace logistics industry, assess its own positioning, and develop a strategy to integrate AI into its operations and monitor its competitors’ AI initiatives in real-time.

    Our solution

    Using a combination of human and artificial intelligence, Cognition’s team of expert market analysts executed the project using a multi-stage approach:

    • Product Portfolio Analysis: In-depth evaluation of the competitors’ product portfolio to analyze how AI was used in predictive maintenance, supply chain and fleet optimization, and freight monitoring, with a focus on their functionality, ease of use, and innovation.
    • Market Impact Analysis: Examined how competitors’ AI-driven initiatives were being received by aerospace customers in the market by conducting an in-depth VOC (Voice of the Customer) exercise through 10 expert consultations, and helped gauge the success of AI-enabled services in the market.
    • Partnership Landscape Analysis: Critically analyzed the partnership ecosystem to understand how competitors were partnering with Cloud Service and AI Technology providers (with a focus on machine learning models and warehouse robotics) to develop customized solutions for aerospace logistics and helped the client identify potential partnerships for its own go-to-market strategy.

    Outcome

    • 6% revenue increase in the subsequent year by partnering with two key AI technology and cloud service providers to accelerate the adoption of AI in its fleet optimization business line.
    • 1.5% market share increase in the next two years, using a strategic AI-roadmap to leverage innovations in specific offerings and set up real-time monitoring of competitors’ AI initiatives to counter any strategic moves.

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