AI is in Your Supply Chain. Is it Actually Working?

The State of Supply Chain Report 2026 reveals where AI adoption is accelerating across retail supply chains and why most organizations aren’t seeing the returns they expected.

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Participant Overview

40^%

of retail supply chain leaders report active AI use in 2026, up from 24% in 2024

70^%+

senior management and executive level respondents

3^years

of longitudinal data tracking AI adoption, barriers, and outcomes

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Discover the Trends Shaping AI Adoption in 2026

AI is gaining ground in retail supply chains. But adoption alone doesn’t equal impact. This year’s report cuts through the hype to show where AI is delivering, where it’s stalling, and what separates the leaders from everyone else.

AI Adoption Is Accelerating, But Impact Lags Behind

Nearly half of retail executives are using AI across supply chain operations, yet only a fraction report measurable business value.

Process-Level Productivity, Not Transformation

Quality inspection and defect detection lead AI use at 74%, but higher-stakes decisions in sourcing and production remain largely manual.

The Real Barriers Are Organizational, Not Technological

Budget conflicts, change management gaps, and integration complexity are holding more organizations back than any shortage of tools.

Data Fragmentation Is the Hidden ROI Killer

Without structured, unified data across supplier tiers, AI outputs can’t reach the precision that compliance and sourcing decisions demand.

Technology Is Being Reconceived as Resilience Infrastructure

Across all AI maturity levels, retail executives are turning to technology not just for efficiency, but as a foundation for navigating permanent volatility.

The Leaders Are Building Toward Convergence

AI leaders are connecting quality, compliance, sourcing, and sustainability data into integrated Production Chain platforms and pulling ahead.

Key Insights

Adoption Is Rising, But the Gap Between Interest and Impact Remains Wide

40% of respondents report AI use in 2026, up from 24% in 2024. A quarter of all respondents weren’t sure whether AI is even integrated into their supply chain.

AI Is a Productivity Layer, Not Yet a Decision Engine

Organizations are applying AI to well-bounded tasks. The highest-ROI opportunity may not be the next tool. It’s the next use case, in the areas that are still slow, manual, and imprecise.

Organizational Readiness Is the Constraint

Budget conflicts (39%), integration complexity (36%), and change management capacity (36%) are the top barriers. The tools are no longer the obstacle. Organizations are.

Data Is the Foundation, and Most Organizations Don’t Have It

AI is only as effective as the data it operates on. Until production chain data is unified and trustworthy, the path from operations to ROI stays blocked.

Resilience Has Replaced Efficiency as the Primary Technology Mandate.

Over 50% of respondents rated regulatory pressure at 4 or 5 on a 5-point scale for three consecutive years. The operating environment isn’t stabilizing.

Converged Production Chain Operations Are the Strategic Differentiator

The organizations furthest ahead aren’t adding AI tools to siloed functions. They’re building connected platforms with AI layered across all of it.

Get the Full 2026 State of Supply Chain Report Before It Goes Public

Three years of longitudinal data. Exclusive perspectives from supply chain leaders at Dick’s Sporting Goods, Urban Outfitters, Komar Brands, and more.