The PIM blog

News and views from Inriver on the industry trends that matter to you, your business, and your PIM software.

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What’s the difference between data validation and data enrichment in PIM?

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PIM data validation and data enrichment serve different purposes within the same workflow. This article explains how they work together to improve product data quality.

50+ must-know statistics for your e-commerce strategy

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The statistics in this article point to a future shaped by AI-driven discovery, personalization, and customer experience. Learn how product teams are preparing for that shift today.

Best PIM solutions in 2026: 8 leading platforms reviewed

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Eight leading PIM platforms take different approaches to data modeling, syndication, AI, and implementation. Get the PIM Buyer’s Guide to support your decision.

Inriver vs Akeneo vs Pimcore: Which PIM powers real business growth?

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Akeneo vs Pimcore vs Inriver comparisons often focus on features. This article examines implementation effort, integration complexity, scalability, and operational impact.

Can a PIM software integrate with SAP, Salesforce, and other ERPs?

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PIM software integration connects product content with ERP, CRM, and commerce systems. This article explains integration methods, data ownership, and vendor evaluation.

How long does it take to implement a PIM system?

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PIM implementation timelines depend on data readiness, integrations, and ownership. This guide explains what affects rollout speed and how to avoid common delays.

Why growing brands need a product content layer for their entire partner and distributor network

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A product content layer helps brands manage distributor and partner access to accurate product information. This article explains how to scale product content distribution.

What is product data onboarding? A practical guide for manufacturers

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Product data onboarding fails when validation and channel preparation rely on disconnected workflows. This article explains how manufacturers structure onboarding before scale exposes gaps.

AI recommendations: The complete guide to getting your products found and chosen

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AI product recommendations depend on structured product data and behavioral signals. This article explains how recommendation engines surface, rank, and match products.

The Ghost in the Machine: Why AI is Quietly Neglecting Your Brand 

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AI trends in B2B commerce are changing how buyers discover and evaluate products. This article explains how product data must evolve to support AI-driven procurement.

Agentic commerce B2B: A practical guide to getting ready

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Agentic B2B commerce depends on structured product data, approval logic, and connected systems. This article explains how to prepare workflows for AI-driven procurement.

Prime Day is coming. Is your product content ready for it?

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Every year, brands lose revenue on Amazon’s biggest sales event — not because of price, but because their listings aren’t complete. Here’s how API-driven syndication changes that.