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.

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.

From spreadsheet to PIM: A practical migration guide

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Spreadsheet to PIM migration begins when manual product data workflows stop scaling. This article explains how to prepare catalogs, attributes, and data before migration.

6 PIM market trends to watch in 2026

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See how AI, regulations, cloud-native tech, CLV focus, and sustainability are reshaping PIM market trends in 2026 for digital-first product teams.

What Inriver’s MCP means for the AI tools connected to your PIM

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Inriver gives AI tools structured access to live PIM data without custom integrations. This article explains endpoints, setup requirements, and practical AI use cases.

Product data readiness: What to do before your PIM system goes live

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Product data readiness determines PIM success. This article explains how to prepare your data model, governance, and workflows before implementation.

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.