Integrating artificial intelligence into business software promises greater efficiency and – in marketing – more accurate content. Especially in Product Information Management, AI can significantly relieve marketing teams. This is the case when AI is combined with a PIM system and, ideally, directly with a DAM system. We show you the potential AI has in combination with PIM and DAM systems in our whitepaper, which you can download. In this article, you will also learn how AI, PIM and DAM work together and what tasks they can take on.
Download Whitepaper “Artificial Intelligence in Online Shops – How to successfully use AI in PIM and DAM systems”.
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How PIM and DAM work together
A Product Information Management (PIM) system serves as a central point for all product information and product data available in the company. The PIM system consolidates this data, enriches it with further information and plays it out in a way that suits the company’s sales channels via interfaces to the output channels (website, e-commerce store, etc.). You can find an overview of various providers of PIM systems in our market overview. As a rule, images are always part of the product information. This is where the Digital Asset Management (DAM) system comes into play.
In the DAM system, digital assets consisting of images, videos, but also PDF documents and other files can also be managed centrally. Since the DAM takes all digital assets into account, product information (images, videos, instructions, etc.) is also stored there. If PIM and DAM systems are linked, the PIM system pulls the required product data and information from the DAM system and then plays it out in the online store or on other output channels of the company.
DAM as the first data hub
So both PIM and DAM systems are software applications that bundle information from the various systems and storage locations in the company – just each with a different focus. A DAM does not specialize in product information and product data, unlike the PIM system. But it also centralizes product-related data, although it is upstream of the PIM system. The reason: In a DAM system, companies can manage all digital assets in one place, improving data quality and timeliness. This ensures that only up-to-date files such as images and PDF instructions are transferred to the PIM system.
However, the interaction of PIM and DAM has another advantage: as soon as artificial intelligence is integrated into the systems, various tasks that link PIM and DAM can be automated. For this, it is necessary to look at the various possibilities of AI integration.
AI integrations in DAM and PIM – these are the areas of application
1. AI integration for translation services.
Artificial intelligence can automate various tasks. These include, for example, translation services that are part of the task spectrum of a PIM system. There are various translation tools, such as those from DeepL, Microsoft, and Google, that use AI to quickly transfer text into another language as perfectly as possible. Text automation software also usually has translation capabilities. Using text automation software, companies can thus not only transfer data from the PIM system into a product text, but also automatically create different language text variants for different target countries.
2. Classify product data faster
AI offers the potential to speed up many processes. This also applies to the classification of product data. Manual classification of products and product groups is time-consuming. An AI integration can take over the classification after the AI engine has been taught data. For this, however, the product data must also have been structured beforehand – ideally in a PIM system.
3. Optimize and manage images
In combination with a DAM system, companies can use artificial intelligence to optimize and manage images. In this way, graphic designers in particular can be relieved. After all, some of the steps involved in optimizing images can already be automated. We’ll show you exactly what these are in more detail in the white paper. In addition to image optimization, AI can also be used to manage images. This applies above all to licenses and the systematic storage of image material, but also to the enrichment of metadata.
However, AI can not only optimize and manage images. The free skate is the automated production of image material. You can also find out how this works in the whitepaper.
Conclusion
The combination of AI, PIM and DAM offers many opportunities for companies to streamline processes in marketing and product management. This can also provide a competitive advantage in the short term. In our whitepaper, you can also read about what you need for the professional use of AI. In any case, one thing is certain: The topic of artificial intelligence in companies will continue to gain in importance. Companies that already have the right data at their disposal can communicate with their customers in real time and stand out from the competition.
