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AI-Native Supply Chain Planning: New vs. Retrofitted Approaches

Alex Pradhan, founder of Alchemy Advisory and former industry analyst, has written about AI-native supply chain planning, distinguishing between systems designed for AI from inception versus those retrofitted. While Pradhan emphasizes a unified data layer and autonomous agents as key building blocks, the author of the article pushes back, citing established vendors like Manhattan Associates and o9 Solutions. These companies, through componentized architectures and knowledge graphs, have laid groundwork for AI integration, suggesting that a purely AI-native approach isn't the only path to advanced supply chain planning capabilities. AI

IMPACT Discusses the evolving landscape of AI integration in supply chain planning, highlighting different architectural approaches.

RANK_REASON Article discusses differing viewpoints on AI-native supply chain planning, referencing industry figures and companies.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI-Native Supply Chain Planning: New vs. Retrofitted Approaches

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Steve Banker, Contributor ·

    What Is AI-Native Supply Chain Planning?

    There are young vendors that can be characterized as "AI-native." These supply chain planning solutions were built AI-first, distinct from retrofitted legacy systems.