Systems Online LogoPIMInto - Product Information Management System
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PIM Basics

 
Product Information Management Systems, often abbreviated as PIM, serve as the backbone for businesses aiming to provide accurate, consistent, and up-to-date product information across various channels. These systems are fundamentally designed to offer a flexible and organized way to store structured product data. This includes critical data points like product names, descriptions, prices, images, availability status, technical specifications, and much more.
 
As more and more businesses turn to multi-channel or omni-channel selling strategies, the role of PIM in efficiently managing product data becomes increasingly essential. This is primarily because the way product data is used and presented can significantly vary among different external websites, services, channels, or feeds. For instance, an e-commerce site may require high-resolution images and detailed descriptions, while a comparison shopping engine may focus more on pricing and technical specs. Understanding how each channel uses product data is critical to ensure a coherent and effective product presentation across the board.
 
One of the initial and pivotal steps in implementing a PIM is defining product attributes. Product attributes are the various characteristics or properties that help to describe and differentiate products. This could include basic attributes like name, price, and color, as well as more detailed ones like material, dimensions, weight, and technical specifications, among others.
 
Choosing the right attribute type for each product characteristic is crucial to maintaining consistency, accuracy, and usability of the product data. There are several attribute types you might use, including text, numerical, date/time, boolean (yes/no), dropdown (selecting one option from a predefined list), multi-select dropdown (selecting multiple options from a predefined list), and media attributes (images, videos, PDFs, etc.).
 
For instance, the attribute for a product's weight would be numerical, the attribute for its availability status might be a boolean, and the attribute for color could be a dropdown. Each of these attribute types serves a different purpose and enables different functionalities in terms of data entry, search, and filtering.
 
Moreover, the process of defining attributes is not merely about selecting attribute types but also about understanding how these attributes will be used by both internal users and external systems. The product attributes you define should align with the information needs of your customers, sales and marketing teams, customer service representatives, as well as any third-party services, websites, or channels you're using.
 
To ensure a successful implementation, consider the following steps:
 
Identify Essential Attributes: Start by identifying what attributes are essential for every product in your catalog. These will often be attributes like product name, price, SKU, etc.
 
Define Category-Specific Attributes: For each category or type of product, define additional attributes that are specific to that category. For example, clothing items might have size and material attributes, while electronics might have attributes for technical specs.
 
Consider Usage: Think about how each attribute will be used. Will it be used for searching and filtering? Will it be displayed on product pages? Does it need to be exported to external systems?
 
Assign Attribute Types: For each attribute, assign the most appropriate attribute type based on what kind of data it will hold and how it will be used.
 
Implement Data Validation: Use tools like PCRE2 regular expressions for data masks to ensure that the data for each attribute conforms to the correct format.
 
By carefully defining product attributes, you set a solid foundation for your PIM. Remember that your goal is to provide comprehensive, accurate, and accessible product information to enhance customer experience, streamline internal operations, and achieve seamless interoperability with external systems and channels.