Product Information Management

PIM and AI: New Possibilities for Data-Driven Product Management

Eric Dreyer
8 Min
Illustration mit Mann der vor Monitor sitzt neben dem ein Kabel zu einem Roboterkopf führt |


What Benefits does the Combination of PIM and AI have to offer?

Welcome to Industry 4.0: The fast-paced development of Artificial Intelligence (AI) has already shaped many sectors, and Product Information Management (PIM) is no exception. AI offers a myriad of applications which can drastically improve your data maintenance, inventory management, personalization, information about customers and target groups, as well as image recognition in PIM. Additionally, the combination of PIM and AI provides your company with groundbreaking functionality – from data organization and analysis to the translation of product data into expressive and personalized information which can be put into action across all channels. This opens entirely new perspectives for a data-driven product management. In this blogpost, we have a look at the various use case possibilities of AI and PIM, identifying the areas in which the use of Artificial Intelligence is most profitable. Have a good read!


💡 What is AI?

AI refers to the capacity of machines to simulate human intelligence and carry out corresponding tasks. This may, for example, include learning, decision making, or problem solving. Such simulations are based on various technologies such as machine learning or the processing of natural language.

Content Creation with AI: Individualized Content at the Click of a Button 

One big advantage of AI is automated content creation. Today’s AI tools are able to generate unique content. For example, Midjourney can even create new, impressive images based on text requests alone. ChatGPT by OpenAI allows you to create diverse texts or well-structured articles in a matter of seconds. With solutions for content generation such as Retresco, users can transform data from their PIM system into high-quality texts. This saves both time and resources, while also accelerating the process of updating product information.

Accordingly, automated AI-based content generation is an effective tool for optimizing your Product Data Management, saving valuable resources, and, at the same time, establishing a smooth communication with customers that is in keeping with the times. This approach lets companies focus on more creative and strategic aspects of their business, while the high-quality content for efficiently addressing the relevant target group is already taken care of.

Efficient Translation Management: Conquer International Markets with AI and PIM

In Translation Management, too, AI can provide valuable support. AI-based translation tools such as DeepL, for example, can translate product texts into various languages in an automated manner. By putting these tools into good use in connection with PIM, companies can optimize their translation processes and manage translations more efficiently. AI enables the automated translation of product information into a wide range of languages. For your company, this means a significant saving in time and resources. Additionally, the PIM system can guarantee consistency and correctness when it comes to distributing this translated content to all sales channels and markets. With the combination of AI and PIM, companies can improve translation quality, shorten their time to market, and secure smooth communication with international customers. This allows you to be globally present and successfully market both your products and services in different countries.

Feedback Data and AI: Get to Know Your Customers More Intimately 

AI can also help you in getting to know your customer better. The analysis of customer data enables companies to recognize patterns and trends which can then be integrated into the product and marketing strategy. This way, you can respond better to your customer’s needs. If you transfer the feedback data by customers into your PIM and structure it accordingly, an AI tool can process it and operate with it in real time. This is what you can use to draw well-informed inferences about the purchasing habits, preferences, and behavior of your customers. On the basis of this knowledge, you can design your product and marketing strategy in a more goal-oriented manner. What’s more is that companies can objectively evaluate the efficiency of their product offer and their marketing measures. This, in turn, allows you to swiftly make adjustments and optimizations to the strategy for higher customer satisfaction and customer retention. With personalized offers for related products, tailored advertisement campaigns and targeted recommendations, companies can strategically position their products – which translates into more sales and, ultimately, more profit.

Illustration mit Mann und Roboter die gemeinsam eine Statistik halten |

Personalization: Inspire Customers with Artificial Intelligence and Product Information Management 

Personalization is a key factor for success in today’s competitive markets. The combination of Artificial Intelligence and Product Information Management (PIM) is particularly useful when it comes to this topic. When customers are offered products and services which best correspond to their needs, they have the feeling of being understood and that they are met on their own grounds. This does not only increase customer satisfaction but also leads to higher conversion rates coupled with lower product returns.

A high-performance PIM system enables the target-group-oriented and channel-specific distribution of content in order to achieve a higher degree of efficiency and relevance. In short: The dream of personalized customer communication with the right content at the right time with the right person – and that in a fully automated manner – becomes reality. Tools such as Retresco even make it possible to reformulate general product texts for individual target groups – automated and in direct connection with PIM.

With the use of a Recommendation Engine, you can also handle targeted recommendations for products. A product recommendation which matches the customer’s individual needs improves the purchasing process drastically and optimizes the Customer Experience. The continuous analysis of customer behavior does also make it possible to better recognize the customer’s wants and to optimize the assortment accordingly. Companies which bank on personalized recommendations are successful in setting themselves apart from the competition and can expand their customer base progressively. At the end of the day, all this manifests itself in an improved conversion rate and maximized customer retention.

The Power of Images: Automated Image Recognition and Keyword Tagging 

A very promising field of application for AI in Product Information Management is the automated image recognition and keyword tagging of products. An AI algorithm can analyze images and identify the products depicted on them by various attributes such as type, color, brand, size, characteristic features, and material.

AI can deliver precise results with targeted training (Deep Learning). On the basis of an extensive collection of product images from a PIM system with informative meta-data (Big Data), an AI can, for example, learn how to classify products on its own. Accordingly, the AI system may recognize a piece of clothing or a machine even if it is depicted in an odd angle on the image, remains partially concealed, or if it is taken under unfavorable lighting conditions. The integration of AI-based image recognition in the field of PIM opens up a new dimension for the automation and optimization of product management processes, so that companies can profit from an efficient data handling and a precise categorization of data.

Powered by AI: Next-Level Product Data Management  

In the age of Industry 4.0, where technologies like Artificial Intelligence play an ever-increasing role, fascinating perspectives emerge for data-driven product management.

The intelligent use of AI in the PIM field unlocks a wide range of possibilities. This starts with automated content creation that does not only save time and resources but also delivers high-quality information. And it continues with precise translations of product texts into various languages in order to tap into international markets – here, AI has proven itself to be a top-performing partner. Furthermore, AI enables a deeper understanding of customer needs through the analysis of feedback data and holds the key to a great many possibilities concerning personalized customer communication, resulting in a higher satisfaction rate and brand loyalty.

All in all, Artificial Intelligence provides enormous options for optimizing – if not revolutionizing – Product Information Management. By supplying top-quality product data that is always up to date, companies can exhaust the full potential of the AI revolution in PIM with all its benefits, while also establishing their competitive prowess in a continuously more data-driven business world. With the right tools and a solid data basis, companies can increase their efficiency, provide personalized purchasing experiences, and make well-informed decisions. The future of data-driven product management will be shaped by AI, and those who seize the opportunity will stay streets ahead in the competition.

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