AI and Organizational Design: Retailers Are Flattening Management Layers To Speed AI Decision-Making
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AI and Organizational Design: Retailers Are Flattening Management Layers To Speed AI Decision-Making

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Primary Analyst:
Charlie Poon, Analyst
Contributors
Primary Analyst:
Charlie Poon, Analyst
Sector Lead: John Harmon, CFA, Associate Director of Technology Research
Deep Dive

Reasons to Read

  • Discover how AI is reshaping retail operating models, from flatter management structures to new AI leadership roles and centers of excellence.
  • Understand why leading retailers are moving decision-making closer to smaller teams, store associates and business functions closest to the customer.
  • Learn how agentic commerce is expanding across customer-facing and back-end workflows, including shopping assistants, associate agents and supply chain tools.
  • Assess why workforce transformation, reskilling and change management are critical to AI adoption and employee engagement.

Questions answered in this report:

  • What does an AI-enabled retail organization look like compared with a traditional hierarchy?
  • Why are retailers flattening organizational structures and reducing management layers?
  • Which AI leadership roles and governance models are emerging in retail?
  • How are retailers deploying AI agents across merchandising, marketing, stores, supply chain and customer service?
  • What workforce skills and change-management steps are required to scale AI effectively?

Data in this research report include: sector adoption rates for paid subscriptions to AI models, platforms and tools; a comparison of traditional and AI-enabled organizational structures; examples of AI-enabled retail restructurings; and a table of recent AI deployments by retailers and technology providers.

Companies mentioned in this report include: Ace Hardware, Amazon, Ahold Delhaize, Blue Yonder, Crate and Barrel, Home Depot, Kroger, Lowe’s, NVIDIA, RELEX Solutions, Target, Tesco, Ulta Beauty and Walmart.

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