Assess and Prioritize Agentic AI Use Cases in Retail

With no clear path forward amid agentic AI hype, it’s hard to identify which retail use cases deliver real, measurable value.
Limited internal AI skills and experience with autonomous systems slow adoption and create risk uncertainty.
There is pressure to prove ROI on AI investments while managing cost, compliance, and operational disruption.
Disconnected point solutions and legacy systems block the data foundation agentic AI requires.
It’s difficult to link AI initiatives to specific business outcomes and prioritized capabilities.

Our Advice

Critical Insight

Agentic AI doesn't create retail transformation on its own; it emerges from aligning autonomous decision-making to the capabilities that matter most. Retailers unlock agentic AI by first innovating in ready-made domains, where workflows, logic, and ownership are already in place.

Impact and Result

Establish where agentic AI belongs in retail.
Align IT and business around defensible use cases.
Prioritize governed, value‑driven agentic AI investments.

Assess and Prioritize Agentic AI Use Cases in Retail Research & Tools

1. Assess and Prioritize Agentic AI Use Cases in Retail Storyboard – Identify and prioritize the agentic AI use cases that will move your retail business from manual decision-making to autonomous, always-on operations.

Agentic AI is shifting retail from reactive decision-making to autonomous, always-on operations, but knowing where to start is the hardest part. This storyboard guides retail leaders through a framework for identifying, evaluating, and prioritizing agentic AI use cases. From customer experience to supply chain to store operations, it helps you cut through the hype, build stakeholder alignment, and move confidently toward a future where your retail business runs closer to autopilot.

2. Agentic AI Use Case Tool for Retail – Identify and prioritize the highest-value agentic AI use cases across your retail operations with a structured, capability-driven framework.

Retailers are under pressure to move fast with AI, but without a clear framework, investments stall and value goes unrealized. This tool helps retail leaders systematically identify and score agentic AI use cases across their key business capabilities, cutting through the noise to surface the initiatives most likely to deliver measurable impact.

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What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

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Get the help you need in this 3-phase advisory process. You'll receive 7 touchpoints with our researchers, all included in your membership.

Guided Implementation 1: Ground & Explore

Call 1: Scope requirements, objectives, and your specific challenges.
Call 2: Align on fundamental agentic AI concepts.
Call 3: Explore agentic AI in practice.

Guided Implementation 2: Frame Opportunities

Call 1: Anchor AI capability to business context.
Call 2: Develop agentic AI use cases.

Guided Implementation 3: Score & Validate

Call 1: Score use cases for prioritization.
Call 2: Review use case portfolio.

Author

Donnafay MacDonald

Contributors

Three anonymous contributors