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What are the differences between PIM and PXM?

by Era Inventions

PIM and PXM, the two most talked about terms in eCommerce and product data conversations, are thought to be synonymous with each other. Unless you are familiar with them, getting puzzled by these two concepts is easy and should not come as a surprise. But the fact is that each of them has specific functions in digital commerce. Understanding the difference and leveraging them can help brands win customers’ trust and increase their market share. Now, this blog piece will end the ambiguity about PIM and PXM.

What is Product Information management (PIM)?

Product information management, also referred to as PIM, is the process of managing product information. It is required to market and sell products through digital sales channels. As for PIM software, it is a business application that facilitates managing product information efficiently and accurately.

The platform unleashes the true potential of your product data by providing businesses with a function-rich, central repository to host, organize, edit, and do more with this data. It facilitates everything, from content creation to optimization and distribution on a single platform.

Product data is one of the most critical organizational assets that hold significant importance in digital commerce. Brands and retailers use product data to market their products and communicate with their customers on eCommerce websites and online marketplaces. The complexity of the matter is this data may be in various systems, files, folders, and locations. While consolidating it is one challenge, managing, modifying, and enriching it is the other.

In addition, each product in the inventory has hundreds of features and attributes, such as color, size, weight, technical specifications, and so on, which multiply by the total number of products in the inventory. What makes matters worse is that the product line keeps increasing as new products come in every other day, week, or month. It requires frequent updates and changes across systems where product data resides. One comprehensive solution to all these challenges is PIM software.

Product information management is a system that centralizes all the product information in a single location and takes things forward. It allows users to organize, edit, and enrich product information in a centralized repository with utmost efficiency and high accuracy. PIM is a focused tool that helps brands unleash the true potential of product content. It streamlines the entire data management process, provides a single and dependable source of product information, improves consistency, and enhances workflow.

What is Product Experience Management (PXM)?

PXM is the art and science of taking everything you know about your products and customers and leveraging the know-how to deliver personalized buying experiences across multiple channels. Although, in the market, many software products exist to help drive a compelling product experience, Amaze PXM ranks ahead of all its competitors for many apparent reasons. The software offers combined benefits of Product Information Management (PIM), Digital Asset Management (DAM, also known as Dazzle), and Syndication on a single, AI-enabled platform.

It gives end-to-end control of product data using AI and ML. Amaze Product Experience Management helps deliver relevant, contextual, and engaging product and customer experiences. It further results in increased brand loyalty, customer retention, and sales.

Amaze PXM is a comprehensive solution that streamlines everything, from data ingestion to storage, organization governance, and distribution. It helps organizations leverage product information to unleash the best-in-class product experiences. To sum up, it is a single platform to boost digital commerce.

Take away

PIM is a system that centralizes product information and streamlines content creation and workflow management. On the other hand, PXM is a much wider approach that includes PIM and other tools and technologies, such as digital asset management and data syndication.

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