Key Insights from IDC’s Latest Report
AI in Supply Chain and Operations: A Game Changer
AI is no longer a futuristic concept—it’s a critical part of optimizing operations. Discover how businesses are integrating AI and generative AI to streamline processes, reduce costs, and improve decision-making across industries.
Explore Key AI Use Cases:
- Productivity Use Cases: From automating reports to coding in Java, AI is revolutionizing how employees work.
- Business Function Use Cases: AI is now embedded in enterprise platforms like SAP, Salesforce, Oracle, and more, boosting productivity across marketing, sales, procurement, and other functions.
- Industry-Specific Use Cases: Cutting-edge AI applications like generative drug discovery in life sciences and material design in manufacturing are creating real business value.
Top End-User Questions to Consider
Are you ready to implement AI in your supply chain? Answer these critical questions as you plan your AI strategy:
- Is my data in good enough shape to take advantage of AI?
Companies worry about data quality—ensure your data is ready for AI by assessing your data maturity. - Should I be a first mover or a fast follower?
Decide if you should lead the charge in AI adoption or take a more cautious approach based on industry evolution. - How should I adopt AI within my supply chain?
Should AI be an analytical layer, embedded within ERP tools, or integrated into a control tower or digital twin strategy?
The Role of Data in AI Success
Effective AI implementation depends on high-quality data. Learn how to manage, standardize, and continuously improve your data to fuel AI-driven innovation.
Data Maturity in the Supply Chain
IDC’s research shows that most organizations are still in the early stages of data maturity. Is your data governance up to par to support AI initiatives?
AI for Supply Chain Planning: Benefits You Can Expect
AI is redefining supply chain planning with capabilities that drive faster, smarter decisions. Key expected benefits include:
- Real-time decision-making
- Improved predictive analytics
- Supplier selection optimization
- Inventory optimization
This article is posted at sap.com
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