AI and PIM systems: The Ultimate Guide to Efficient Product Data Management with AI

In an increasingly digital world, Artificial Intelligence (AI) and Product Information Management (PIM) are transforming how companies manage and market their products. AI is revolutionizing PIM systems by automating tasks, improving data quality, and personalizing the customer experience.

Find out how AI and product management are changing the way you work and gain valuable strategies for sustainable success.

What is AI?

Artificial intelligence (AI) refers to technologies that can mimic human-like thought processes. These include pattern recognition, learning from data, and automating decisions. AI is used in many areas today—from voice assistants to optimizing business processes.

How AI and PIM Work Together

Efficiently managing and delivering product information is critical to success in today's dynamic business world. Enter Product Information Management (PIM). The PIM system centralizes product information from multiple sources and enables unified, consistent, cross-channel delivery.

The growing importance of Artificial Intelligence (AI) is creating new opportunities for PIM. AI is the ability of machines to mimic human thinking and learning. It can perform tasks such as speech recognition, decision making, and problem solving. AI systems use algorithms and data to identify patterns, make predictions, and improve with experience. By integrating AI capabilities, PIM systems can become smarter and more automated, allowing you to significantly improve your own efficiency, effectiveness, and customer satisfaction.

In the following ultimate guide, we show you in a practical way how AI technologies such as ChatGPT and DeepL can be used in data maintenance to increase efficiency and data quality.

Artificial Intelligence in Action: Use Cases of AI in Data Management

Using artificial intelligence in data maintenance opens up a wide range of possible applications. Various use cases demonstrate the potential of AI for optimizing and automating processes.

Product data management

Automate data collection, enrichment, and categorization
Evaluate and improve data quality

Search for and recommend products

Personalize search based on user behavior and preferences
Intelligent product suggestions and cross-selling opportunities

Pricing and margin optimization

Dynamic pricing based on market conditions and competitive analysis
Optimize margins and discounts

Customer relationship management (CRM)

Analyze customer interactions and feedback
Personalize product recommendations and marketing campaigns

Specific applications of AI functions in data maintenance include the integration of the best-known AI tools ChatGPT and DeepL.

Automated Text Generation with ChatGPT

By using a PIM system with integrated ChatGPT, businesses can optimize their product data and texts in a variety of ways. ChatGPT can not only generate new texts within the PIM system, but also cleanse and categorize any existing data. This results in a consistent and structured product database, which is essential for further processing and analysis. For example, ChatGPT can create product descriptions that are both informative and appealing, while ensuring that these descriptions are consistent with existing product data and categories in the PIM. By automating these tasks within the PIM system, ChatGPT reduces manual effort and minimizes the potential for errors.

Overall, the integration of ChatGPT into PIM ensures more efficient processes, higher data quality and significantly faster product launches.

Automated Translations in PIM with DeepL

At the same time, the integration of DeepL into PIM provides strong support for multilingual data maintenance. DeepL can be used to create product information in different languages. This is especially important for international companies that need to offer their products in multiple languages. A PIM system with integrated DeepL ensures not only accurate translation, but also consistency of data across different languages and cultural relevancy. As a result, companies can ensure that their product information in their PIM is both uniform and accurate worldwide.

PIM systems with integrated DeepL functions enable users to manage their product data centrally, accurately and consistently in all required languages, ensuring smooth delivery to international markets.

Together, ChatGPT and DeepL demonstrate how AI in PIM not only improves the maintenance and quality of product data, but also helps companies deliver their content efficiently and consistently worldwide.

Find out more about integrating DeepL and ChatGPT in ANTEROS and get to know about the other AI functions that our software has to offer.

AI functions

Benefits of Integrating AI into PIM

The benefits of integrating AI into your PIM system are not only to increase your company's productivity. It's also to improve the customer experience and therefore customer satisfaction.

Internal Benefits of AI in PIM

Integrating AI features into PIM systems not only enhances data quality but also transforms internal operations. These intelligent functions automate manual tasks, minimize errors, and create scalable, efficient workflows. The following key internal benefits show how AI supports teams and improves overall productivity:

Automatic data collection, enrichment and categorization:
AI takes care of recurring manual tasks and guarantees a consistent, high-quality database.
Minimize errors with intelligent data processing:
Using AI reduces human error and ensures product data is reliable.
Easier global market launch:
AI like DeepL can be used to automatically translate product data into different languages, guaranteeing that not only is the language correct, but also that the content is culturally appropriate.
Overall time and resource savings:
Using AI functions reduces the workload of your employees and creates new capacities.
Assistance with routine tasks:
AI automates repetitive tasks and allows employees to focus on profitable tasks.
Increased efficiency thanks to automation:
AI streamlines processes and increases productivity across the PIM ecosystem.
Scalable solutions for growing requirements:
AI-powered PIM systems flexibly adapt to increasing data volumes and product information requirements.

AI features in PIM systems streamline internal processes, reduce workload, and ensure consistent, high-quality data. The result is a more agile, efficient, and scalable organization that’s well prepared to meet growing business demands.

Graphic: Internal benefits of AI integration in PIM

Graphic: External benefits of AI integration in PIM

External Benefits of AI in PIM

PIM systems with integrated AI features enhance how companies manage and present product data while delivering external benefits. By enabling personalized recommendations, faster customer support, and accurate product information, AI features help businesses respond quickly to market trends and engage customers more effectively. The following points highlight how AI features in PIM systems create value for customers and business growth alike:

Personalized product recommendations:
AI can analyze customer behavior and preferences and create personalized product recommendations and marketing campaigns.
Quicker support and satisfied customers:
AI in combination with a PIM speeds up the processing of customer inquiries and ensures a higher level of customer satisfaction.
Personalization and customer loyalty:
Personalized product information, customer-specific catalogs and quicker service through PIM with AI strengthen customer loyalty to the company.
Quick response to market trends:
AI enables you to quickly adapt to market changes and quickly launch new products and services.
Unique customer experiences:
AI creates a customized and engaging shopping experience that inspires customers and strengthens competitiveness.
Optimized pricing and margins:
AI supports dynamic pricing and margin optimization for maximum profitability.
Transparent and comprehensible processes:
Artificial intelligence improves the transparency of product data by automatically collecting, analyzing and updating data. This enables precise traceability and accurate consumer information, leading to more efficient processes and informed purchasing decisions, and meets the requirements of the Digital Product Passport.

AI features in PIM systems strengthen customer loyalty, improve competitiveness, and support smarter decisions. With personalized experiences, quick responses, and transparent data, companies can increase satisfaction, optimize margins, and stay ahead in a dynamic market.

INCONY Helps You Utilize the Potential of AI

INCONY offers comprehensive expertise in PIM and AI and can contribute profound knowledge and experience in these areas. We develop an individual solution concept for each of our customers, which is tailored to the specific needs and requirements of your company.

Book an online demo now to get to know our award winning PIM System with integrated AI functionality.

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Learn about the AI functions of the ANTEROS PIM system

Challenges in Implementing AI in PIM

The use of artificial intelligence not only has advantages, however, but can also pose new challenges for companies. These challenges highlight what companies need to consider when implementing AI in PIM:

1. Data quality and preparation The quality of product data is critical to the success of an AI solution. Companies need to ensure that their product data is complete, accurate, and consistent before implementing an AI solution, for example, if the AI is to generate marketing copy or RFP copy from existing product data. When using AI to improve text, you should generally treat it as a suggestion and check the quality of the content it generates. You may need to refine the AI settings.	2. Selection and integration of suitable technologies Advanced AI technologies such as machine learning, natural language processing, and machine vision are only relevant for some PIM applications. It is critical to make the right choice. Companies need to build the resources and expertise to successfully deploy the AI capabilities that are relevant to their business needs.
3. Ethical Considerations and Transparency The use of AI raises a number of ethical issues, such as data security, discrimination, and transparency. Companies need to consider these issues and ensure that AI is used in a responsible and ethical manner. Transparency about how AI is used in your PIM is critical, and customers need to be able to control their data.	4. Change Management The introduction of AI can trigger changes in business processes and workflows that may face resistance on the part of employees. Effective change management is therefore essential to get employees involved and get them to accept AI.
5. Shortage of skilled workers A lack of expertise can hinder the adoption and use of AI capabilities in PIM systems and lead to higher costs. Companies should therefore invest in training their staff or bring in external experts.	6. Other challenges Businesses face challenges such as high software, hardware, and training costs, as well as specific expertise and technical knowledge when implementing AI solutions. In addition, AI systems are vulnerable to cyber attacks, requiring targeted security measures to protect data and systems.

Implementing AI in PIM systems requires careful planning and resources. Proactive measures can minimize risks and enable the benefits of AI to be leveraged efficiently.

The Future of AI for Your Business

There is tremendous potential for AI in PIM. Early adopters of PIM with integrated AI capabilities can gain a competitive advantage and strengthen their market position.

Integrating AI into PIM systems is not just a trend, it is a necessity for forward-thinking companies. It makes it possible to overcome the challenges of managing product data while implementing innovative solutions that help ensure long-term success.

Companies should first analyze their existing PIM processes and identify areas that can be improved with AI. Building a solid technical infrastructure and investing in appropriate AI technologies is essential. It is also important to train employees in the use of AI-based PIM systems to realize the full potential of the technologies.

Working with PIM vendors that offer AI integration in data maintenance can facilitate and accelerate the implementation process.

How Artificial Intelligence is Changing Product Information Management

In this video, Dr. Elke Radeke explains what exactly artificial intelligence is and how it is used in the ANTEROS PIM system.
Find out how AI optimizes processes in product information management, opens up new opportunities for efficiency and drives digitalization.

Presentation Slides

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INCONY: The PIM and Cross Media Specialist

INCONY is a German software company that has been developing PIM and cross-media software for over 20 years. ANTEROS, INCONY's PIM and cross-media solution, supports companies in the management and use of product data. ANTEROS can merge, cleanse and harmonize product data from different sources. The software also offers functions for creating marketing and sales materials for print, online and mobile. This is complemented by the advanced AI functions of ANTEROS.

INCONY has customers across various industries and of a range of sizes in Germany, Europe and around the world. The company has received numerous awards for its innovative solutions. The following awards are a testament to our many years of experience and expertise in the field of PIM.

Find out more about INCONY on our about us page. For detailed insights into the ANTEROS PIM system and other modules, you can book a free online demo.

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