Welcome to the PIMInto Blog

Here you can explore the newest insights, strategies, and innovations related to Product Information Management (PIM). Our team delves deep, investigating, analyzing, and reflecting on all the essential topics and details surrounding the most recent PIM advancements. Understand how these trends are reshaping the eCommerce landscape, influencing your sales avenues, and revolutionizing your technological infrastructure. Stay ahead of the curve with us as we navigate the ever-evolving world of PIM.

What is Recommerce: Benefits, Difference & Examples
More and more, buyers are seeking alternative ways to acquire high-quality goods at discounted prices. This is pushing the rapid growth of recommerce, a business model that extends the product life cycle for suppliers and provides flexible, cheaper p

Shocking PIM Discovery
Summary I was really shocked to discover that many expensive PIM applications don't work on mobile devices, making it impossible to edit product data on the go. This is a huge issue, especially if you find inaccuracies while away from your desk. W

Rollback Product Information in your PIM
Summary In this video, I walk you through the rollback feature in PIMinto PIM, specifically how to recover deleted data. I demonstrate the process using a brown duffel bag example, where I deleted the product's French description. Thankfully in ou

Unlocking AI's potential in PIM
Summary In this video, I discuss how AI can significantly streamline our work processes, particularly in normalizing PIM data for a better e-commerce experience. I share examples of AI assistants I've used in PIMinto, such as those for translation

How to Market Unsought Products: Strategies & Definition
Marketing unsought products can be a daunting task. But, with the right strategies, even the most obscure products can gain traction. In this article, we’ll explore the unsought product definition, identify strategies to generate interest, and disc

How AI is Transforming and Simplifying Product Information Management for Manufacturers
Manufacturers today face a complex challenge in managing product information across digital channels. With product data becoming increasingly critical to business success, companies are seeking more intelligent ways to manage their information ecosys

How PIM Improves Customer Experience Across Channels
Every great shopping experience starts with reliable product information. But maintaining product data quality across websites and other channels? That requires the right tool. PIM software is that tool as it establishes the consistency and accuracy

What Is Multichannel Retailing?
Multichannel retailing is the practice of using multiple sales channels to reach and engage customers. Understanding how the strategy works is key for expanding your business onto new platforms. In this article, we'll explore the benefits, challenges

What Is Stock Rotation: The Ultimate Guide
Inventory management is an integral part of a successful product-based business. That said, maintaining sound inventory management doesn’t come without challenges. One of the most common obstacles facing companies across industries is determining h
Best PIM Software in 2025: Top 7 Product Information Management Software
Product Information Management (PIM) software helps businesses manage product data efficiently. Whether you’re a small business or a global enterprise, the right PIM system can boost your productivity and improve your customer experience. In this g

Top 8 Benefits of Using PIM for ECommerce
ECommerce businesses often deal with massive amounts of product data. Without a centralized solution, managing this information can become a tedious and error-prone process. PIM solves these challenges by giving you everything needed to manage a prod

7 Reasons Why Your Business Needs a PIM Solution
Managing product information shouldn’t feel like an endless juggling act. Yet, for many businesses, it does. With countless SKUs, evolving customer expectations, and the growing demand for multichannel selling, keeping product data organized can qu