Reports > Infrastructure
Innovative Cases and Implications in the AI Era Ⅲ: Business Model Innovation
2024.06.17 Bo-Kyung Kwon
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Definition and Types of Business Models
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The Impact of AI on Business Model Innovation
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Three Stages of AI-Driven Business Model Innovation
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Case Studies of Business Model Innovation Utilizing AI
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Conclusion and Implications
Executive Summary
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AI technology is a key driver of business model innovation, enabling companies to achieve new value creation and sustainable growth through strategic utilization and internalization.
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By leveraging AI technology, companies can enhance agility and adaptability through big data analysis and automated decision-making, while securing new growth engines through personalized experiences and new product development.
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Enhance agility and adaptability of organizations by automating and optimizing decision-making through the collection, storage, processing, and analysis of large-scale data.
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Improve efficiency by providing personalized experiences through customer behavior and preference prediction, and by expanding the scope of task automation.
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Utilize AI technology to identify potential customers and develop new products and services, securing new growth engines.
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AI-driven business model innovation requires a phased approach, integrating data, automating processes, and transforming business models to create new value.
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Phase 1: Introduce AI into individual business areas and foster the adoption of data-driven decision-making
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Phase 2: Promote connectivity and automation across processes through data integration and the establishment of end-to-end digital infrastructure
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Phase 3: Use AI capabilities to innovate existing business models and discover new business opportunities
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Companies like Schneider Electric, Michelin, and Amorepacific have built innovative business models by utilizing AI and IoT.
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Schneider Electric: Transformed into an energy management and automation solutions provider by leveraging IoT and AI technology
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Michelin: Expanded its business scope from AI-based tire management services to comprehensive vehicle management services
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Amorepacific: Developed customized products and services using big data and AI technologies and strengthened online sales channels
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Manufacturing companies must recognize AI technology as a strategic asset, through bold investments and experiments to internalize it. At the same time, they need to build an ecosystem of openness and collaboration to establish a virtuous cycle of continuous growth and innovation.
