Inriver blog

Expert takes on product data, the digital shelf, and AI-driven commerce — written for manufacturers managing complexity and constant change.

Channels change, SKUs multiply, and compliance rules keep moving. The Inriver blog breaks down what that means for your product data — and how to keep it flowing cleanly to every channel where buyers decide. Fresh thinking, built for B2B manufacturing.

What does “AI-ready product data” actually mean? (It’s more than clean data)

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AI-ready product data requires more than accurate values. Learn how defined attributes, product relationships, validation rules, and channel requirements make information usable for AI.

Key Takeaways from the 2026 Gartner Magic Quadrant for Product Information Management

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Inriver is a Leader in the 2026 Gartner Magic Quadrant for Product Information Management. Key takeaways on why agentic commerce will run on product data, why PIM is no-regret work, and how to make your product information ready for AI agents and what’s next.

Why is your AI enrichment only as good as your data model?

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AI enrichment depends on your product data model. Learn how structured attributes, product relationships, and flexible data models improve the accuracy of AI-generated product content.

How does the EU AI Act affect product content and PIM?

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The EU AI Act introduces specific rules for AI-generated product content. Learn how labeling, human review, image disclosures, and channel distribution affect PIM operations.

EU AI Act explained: Meaning, purpose, and key provisions

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Understand the EU AI Act, who it applies to, its risk categories, prohibited practices, transparency requirements, penalties, and the steps businesses should take toward compliance.

How to solve your AI content control problem once and for all

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AI content control requires clear permissions, verification, and approval rules. Learn how to prevent inaccurate AI-generated product information from reaching your sales channels.

Product data is never done: 5 Steps for AI visibility

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Product data AI visibility requires continuous maintenance. Follow five steps to resolve conflicts, structure approved information, govern new content, and measure AI results.

How to build a human-led AI strategy for 2026

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A human-led AI strategy keeps direction, judgment, and accountability with people while AI executes governed work. Learn five steps for building the operating model.

How do you set the right level of AI autonomy in product content workflows?

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AI autonomy should vary across product content workflows. Learn how risk, verification, regulatory exposure, and performance determine how much control AI receives.

Who should control what AI agents can do in your product operations?

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AI agent governance defines who owns each agent, what it can change, and where humans intervene. Learn how to govern AI across product information operations.

What is product information orchestration? (And why PIM alone isn’t enough anymore)

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Product information orchestration coordinates how people and AI agents enrich, validate, approve, and activate product data under defined rules and permissions.

PIM for SAP

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PIM for SAP separates operational product data from content workflows. See how PIM supports S/4HANA, clean core, SAP Commerce Cloud, and multi-channel delivery.

Want to see the Inriver PIM in action?

Schedule a personalized, guided demo with an Inriver expert today to see how the Inriver PIM can get more value from your product information.