Who Should Be Interested in PIM?

Despite the growing availability of advanced systems to support product information management, not every company needs to implement them. Below we explore some of the indicators to decide whether it is worth investing in a Product Information Management (PIM) system.


A large number of dynamically changing products

The number of products is a relative notion and should be analyzed together with the level of product complexity. One reason to seriously consider PIM systems is a product catalogue exceeding 1000-1500 SKUs with low complexity, or 500 SKUs with a large number of attributes, multimedia or relations with other products.

In industries such as electrical or DIY, with major retail chains offering dozens of thousands of SKUs, independent PIM systems or modified ERP systems are a must.

The dynamics of the product range also plays an important role: managing products with dynamic turnover takes considerably more effort. The frequency of changes to the product line up largely depends on the company’s strategy, but with some industries, this must be done several times a year.

What about product complexity?

With growing customer expectations, a product name, a short description and a single picture is no longer enough. Manufacturers and retailers are increasingly supplying additional details, such as technical specifications, multimedia resources and related accessories, spare parts or similar products.

The data describing a product may involve up to several hundred attributes, which are usually different for each product group and, increasingly often, translated into foreign languages.

The costs of processing complex products using standard database systems or spreadsheets become considerably higher. PIM systems streamline the classifying and editing of such products, thus improving the conversion rate.

Multiple users

Standard tools also perform worse when several individuals work on the details of a product at the same time. Medium and large enterprises have multiple positions or even build whole teams responsible for managing product information.

In many cases it is also necessary to define different access levels for selected product groups, restrict access to sensitive data, such as price components, or retrieve data from off-site locations.

Focus on data quality

Most PIM systems feature tools to improve and maintain quality product information. It is standard practice to record the time and authors of any changes on the level of the individual attributes.

PIM features also include advanced validation rules for description completeness, setting statuses, or even support for the process of involving specific users in description building, approving and publishing.

Multiple data sources

Manually importing product data or updating it more frequently than once a week using one of the popular formats (e.g. CSV files) requires a certain workload, but can be completed within an acceptable time frame.

However, this becomes problematic if the import frequency increases or more data sources are added (e.g. when product information is provided directly by suppliers). If these sources use different formats, data mapping becomes necessary. Such scenarios indicate the need to use PIM automation, such as by using an API.

Multiple customer segments and communication channels

The same holds true at the other end of the supply chain. A company that handles multiple customer segments, each having access to a different set of products with varying levels of description complexity, must consider data exchange automation. Business partners increasingly require product information to be provided to an industry-specific classification standard (e.g. ETIM, eCl@ss).

Communication channels also affect product information: the more communication channels that are used (B2C and B2B platforms, social media, printed media, retail store labels, etc.), the greater the variety of input formats and interfaces that must be supported. Handling them manually lengthens the product launch process, and can result in many errors and additional costs.

Need for multilanguage support

For a company that provides product information in multiple languages, a PIM system is not a matter of choice but a necessity. Content localization requires suitable support and the right tools.

Besides translating the descriptions and attributes, there is often the need to store separate collections of multimedia content, such as product and packaging shots, manuals, promotional videos, advertising resources, etc. A PIM system is a solution dedicated for this task.

PIM systems do not need to be expensive

Note that PIM systems are not exclusively addressed to large companies with considerable means but some of the solutions available on the market are still affordable for most small and medium businesses and can be implemented within a few weeks. One such solution is Pimcore, an open-source platform that has been deployed more than 80,000 times in enterprises around the world.

It addresses most of the needs discussed above even in its basic version, and thanks to an open GPL license it can be easily customized and upgraded with special-purpose features. Thanks to a flexible API (and an optional data exchange bus, such as Mule ESB) it provides a consolidated platform for handling content, social media, and commerce at every point of customer contact.

If you meet at least one of the above criteria we recommend exploring the PIM systems available on the market.

Our Experts
/ Knowledge Shared

19.11.2024

PIM + AI = Success / Optimizing PIM Systems With Artificial Intelligence

Artificial Intelligence

In today’s rapidly changing business world, managing product information has become one of the key challenges, especially for companies operating across multiple markets. Although artificial intelligence is a hot topic, much of the available material focuses mainly on theory or the distant future. We’re taking it a step further – below, we present...

Ilustracja przedstawiająca robota reprezentującego sztuczną inteligencję, otoczonego symbolami wyzwań i błędów w sztucznej inteligencji. Obraz zawiera pomarańczowy mózg, zepsutą żarówkę i cyfrowe piksele, symbolizujące dane i zagrożenia etyczne związane z awariami sztucznej inteligencji
30.10.2024

The Complex World of AI Failures / When Artificial Intelligence Goes Terribly Wrong

Artificial Intelligence

AI has revolutionized industries, offering impressive capabilities in efficiency, speed, and innovation. However, as AI systems become more integrated into business operations, it becomes evident that these tools are not without flaws. From minor glitches to significant ethical issues, AI failures highlight the fragility of these systems. Businesses must...

AI w optymalizacji łańcucha dostaw materiałów budowlanych
28.10.2024

Application of Artificial Intelligence in Optimizing the Supply Chain of Building Materials

Artificial Intelligence

Can artificial intelligence revolutionize the management of building materials supply chains? Learn how AI can help optimize demand forecasting, manage orders and inventory, minimize risks, and personalize customer offerings. Discover the future of AI in the construction industry. The supply chain in the building materials industry is a complex and...

Expert Knowledge
For Your Business

As you can see, we've gained a lot of knowledge over the years - and we love to share! Let's talk about how we can help you.

Contact us

<dialogue.opened>