Build an AI-Driven Supply Chain Resilience Strategy for Retail

No clear path forward amid AI hype. It's hard to cut through the noise and identify the right high-value supply chain use cases.
Limited internal AI skills. Teams lack practical AI experience, slowing adoption and creating uncertainty.
Pressure to show real ROI. AI requires investment, and CIOs must prove value while managing cost, compliance, and risk.

Our Advice

Critical Insight

Resilience isn’t created by AI; it emerges from better decisions made because of AI. AI improves resilience in retail supply chains by making core decisions far more accurate, timely, and adaptive.

Impact and Result

Accelerate your supply chain’s AI transformation with a proven framework that helps you rapidly and responsibly build a future‑ready AI roadmap focused on supply chain.
Empower your organization to explore and understand a broad range of AI supply chain use cases that address real business challenges while advancing strategic objectives.
Guide your teams through their AI journey by identifying and prioritizing high‑value supply chain use cases using a benefits‑realization driven approach.

Build an AI-Driven Supply Chain Resilience Strategy for Retail Research & Tools

1. Build a Retail Supply Chain Resilience Strategy Deck – This research equips CIOs with the insights needed to prioritize high‑value AI opportunities in the supply chain, enabling smarter investment decisions and a clearer path to measurable transformation.

Accelerate your supply chain’s AI transformation with a practical framework that rapidly and responsibly builds a future‑ready AI roadmap. This approach helps your organization explore and understand high‑impact AI use cases that solve real operational challenges while supporting strategic goals. By guiding teams to identify and prioritize the most valuable opportunities through a benefits‑realization lens, it creates a clear, focused path for adopting AI across the supply chain.

2. Retail Supply Chain Use Case Prioritization Tool – Use this tool to develop AI‑driven supply chain use cases and to identify and prioritize high‑value, feasible initiatives.

This tool enables teams to quickly develop AI‑driven supply chain use cases while pinpointing the initiatives that offer the greatest value and are most feasible to implement. By combining structured evaluation with practical prioritization, it helps organizations focus their efforts on the solutions that strengthen resilience, improve performance, and deliver measurable business impact.

About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

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.

Need Extra Help?
Speak With An Analyst

Get the help you need in this 4-phase advisory process. You'll receive 11 touchpoints with our researchers, all included in your membership.

Guided Implementation 1: Pre-Work

Call 1: Scope requirements, objectives, and your specific challenges.
Call 2: Define AI vision statement
Call 3: Identify strategic principles.
Call 4: Establish responsible AI guiding principles.

Guided Implementation 2: Align

Call 1: Discover the power of use cases and review business goals.

Guided Implementation 3: Review & Evaluate

Call 1: Identify candidate AI use cases.
Call 2: Assess current AI maturity.
Call 3: Identify strategic AI investment path.

Guided Implementation 4: Identify & Score

Call 1: Map candidate AI use cases.
Call 2: Prioritize candidate AI use cases.
Call 3: Build AI initiatives one-pagers.

Author

Donnafay MacDonald

Contributors

Four external, anonymous contributors