What's Happening?
A recent study by Epicor and Nucleus Research highlights the transformative impact of artificial intelligence (AI) on supply chain operations. The 2025 Agility Index research study indicates that over 56% of supply chain businesses report high AI readiness, with many integrating AI across their operations to enhance agility and reliability. Companies are increasingly investing in AI-specific roles such as AI Logistics & Route Optimization Specialists, Supply Chain AI Data Scientists, and AI Automation Engineers. These roles are embedded in planning, fulfillment, and logistics functions, reflecting a shift in how businesses view AI—not as a replacement for human judgment but as a tool to empower decision-making. The study also notes that more than half of the respondents are adopting data intelligence platforms to connect and analyze operational data, which are crucial for AI application.
Why It's Important?
The integration of AI in supply chains is significant as it allows companies to respond swiftly to disruptions and optimize decision-making processes. This technological advancement is crucial for maintaining competitiveness in a rapidly changing market. By investing in AI and data-centric platforms, companies can achieve greater agility, enabling them to make informed decisions quickly. This shift is expected to lead to a competitive edge, as organizations that effectively leverage AI will likely outpace their competitors. The study suggests that the ability to adapt quickly to market changes will become a strategic capability, essential for navigating uncertainties such as trade restrictions and geopolitical risks.
What's Next?
As AI continues to mature, companies are expected to see faster returns on their technology investments, with many anticipating benefits within six to 18 months. The success of AI integration will depend on organizational readiness, leadership engagement, and the ability to act on predictive insights. Companies will need to continue building dedicated AI talent pipelines and investing in platforms that enhance data connectivity and analysis. This ongoing investment in AI and data-centric strategies will be crucial for maintaining supply chain resilience and achieving long-term business success.
