From content to data quality – AI in product data management

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Artificial intelligence is now omnipresent. But where exactly does it bring real added value in product data management? From data maintenance to strategic optimization, AI offers numerous opportunities to improve data quality.

Many companies in the HVAC and electrical industries manage thousands of products such as radiators, fittings, lights, and cables on a daily basis. However, product data is often incomplete, inconsistent, or incorrect. Missing dimensions, unclear materials, incorrect product classifications, or duplicates make planning, sales, and online presentation difficult. This often leads to incorrect orders, increased processing costs, and ultimately dissatisfied customers.

This is exactly where AI can offer real added value. Through intelligent analysis and pattern recognition, AI can automatically identify incorrect data, fill gaps, and classify products correctly. This makes data maintenance more efficient and reliable.

Possible areas for the efficient use of AI in product data management include:

  • Content generation: AI supports the preparation of product texts, for example by shortening or adapting product descriptions. It can also help to revise product data in accordance with applicable standards and guidelines and automate the assignment of product images to product master data.
  • ETIM classification with feature maintenance: With a complete ETIM classification, products are assigned in accordance with standards. AI-based processes systematically maintain all relevant features so that the products can be optimally used for catalogs, online shops, and digital sales channels.

 

  • Data quality and cleansing: AI supports automatic error detection by identifying duplicates, missing attributes, or typos and providing correction suggestions. Intelligent rules automatically standardize different spellings (e.g., “cm” vs. “centimeter”). AI can also derive missing product data from similar data sets or external sources, thereby continuously improving data quality.

The use of AI in product data management can significantly increase data quality, as product information is consistent, complete, and error-free. This enables more efficient planning, as reliable data is available. At the same time, the automation of data maintenance saves time and reduces the number of incorrect orders. Customers also benefit from an improved experience, as they have access to consistent and complete product information.

Are you looking for a solution for your data logistics and product data distribution with AI-based processes? Then feel free to contact us by email at service(at)itek.de or by phone at +49 5251 / 1614-0. We are happy to help.

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