IDC PlanScape: The Agentic Commerce Playbook for B2B Leaders Who Want Clarity

IDC arrived at the same conclusions we’ve been building toward: agentic commerce needs staged adoption, clean data, and human oversight. That’s how we approach AI at OroCommerce. This report is our way of putting practical AI knowledge in front of the people who need it most.

Download it to understand the dependencies, the near-term opportunities, and the critical strategic caveats you must consider as you prepare your operations for an agentic commerce future.

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Who This Report Is For

Commerce and digital leaders evaluating where AI fits in their strategy
CFOs and procurement teams tired of AI pitches that ignore operational reality
CIOs and technology leaders building commerce infrastructure for the next decade
Anyone skeptical of AI hype who needs practical guidance on what’s real

What You'll Find Inside

The report gives enterprise leaders a practical framework for adopting agentic commerce in stages, with guardrails, rather than betting operations on technology that isn’t ready yet.

What "Autonomous" Actually Means

Autonomy means the AI makes contextual decisions and adapts to scenarios it wasn't explicitly programmed for. Automation just follows rules. IDC explains why calling everything "agentic" is creating dangerous gaps in how organizations govern AI.

The Five Levels of AI Autonomy

IDC maps five levels of AI autonomy. Most platforms claiming "agentic" capabilities are stuck at Level 2. Knowing where the technology sits today keeps you from overpaying for features that don't exist yet.

Seven Agentic Commerce Plays

From buyer agents and embedded payments to generative UI and fulfillment orchestration – IDC breaks down what's deployable now versus what's still theoretical, with the specific technical and trust barriers blocking each one.

The "Constrained Autonomy" Playbook

IDC recommends constrained autonomy: tightly scoped agents in low-risk categories, clear guardrails, and incremental trust-building. This mirrors how we approach AI at OroCommerce: integrated, controlled, and proven before it touches high-stakes workflows.

Go Deeper on B2B Commerce AI

Practical AI That Works Inside Your B2B Operations

See how B2B-native AI tools run natively inside OroCommerce, with guardrails, on unified data, at no extra cost.

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How to Use AI in eCommerce: The Strangler Pattern

Most enterprise AI projects fail because of architecture, not algorithms. This guide shows how to build the foundation commerce AI needs before you invest.

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OroCommerce 7.0: Less Sci-Fi, More ROI

Watch our product team walk through the AI infrastructure in the latest release: secure MCP integration, the OroIQ workspace, and prompt governance with Langfuse.

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