This PPT slide, part of the 19-slide Resilient Supply Chain PowerPoint presentation, presents a comprehensive overview of the current state and future outlook for supply chain optimization through the adoption of artificial intelligence (AI) technologies. It highlights that a significant 58% of business organizations are planning to utilize AI to enhance the resilience and collaboration of their supply chains. The data indicates that the highest expected adoption rates for various technologies are led by AI technologies, with 27% of organizations prioritizing this area.
Investment trends are also noteworthy. A substantial 88% of companies are set to invest at least $1 million in supply chain initiatives over the next 2 years, with 42% planning to allocate $10 million or more. This suggests a strong commitment to improving supply chain capabilities through technology.
The slide further emphasizes the growing integration of human-managed activities within supply chains, with 44% of organizations focusing on decision-making and visibility, and 42% on resilience and sustainability. This indicates a shift towards a more human-centered approach in leveraging technology.
Looking ahead, 85% of business leaders anticipate a steady increase in AI utilization for supply chain optimization over the next 5 years. This projection underscores the critical role AI is expected to play in shaping future supply chain strategies.
Lastly, the slide categorizes the anticipated use of AI technologies across various supply chain functions, with logistics and supplier selection being the most prominent areas. This detailed breakdown provides valuable insights for organizations looking to prioritize their investments and strategic initiatives in AI-driven supply chain enhancements.
This slide is part of the Resilient Supply Chain PowerPoint presentation.
This presentation is developed by a team of management consultants and provides a detailed understanding, current state, and outlook for Supply Chain Resilience.
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Supply Chain Resilience Artificial Intelligence Supply Chain Logistics Sustainability
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