How AI is Transforming Product Information Management

Product data management is a key component of modern retail and distribution operations. Businesses that manage thousands, if not millions, of product references often face incomplete or poorly structured information, leading to inefficiencies in sales, marketing, and logistics. AI provides a scalable solution to automate the structuring, enrichment, and optimization of data.

Project Background

Our client, a leader in distribution, was facing several challenges related to its Product Management System (PMS):

• A high volume of unstructured data : Over 1.5 million product sheets with incomplete descriptions.
• Inefficient manual enrichment processes : Updating product sheets was slow and time-consuming.
• Insufficient content quality : The technical descriptions were not adapted to e-commerce requirements.

To overcome these obstacles, we have implemented an AI-based solution to automate the enrichment of product sheets, guaranteeing accurate and attractive content both for internal use and for customer platforms.

Product Information Management Challenges

Manually managing large quantities of product data poses several difficulties:

1. Long and expensive processes : Human intervention to update product sheets is ineffective.
2. Data inconsistencies : Inaccurate or missing information leads to errors and wasting time.
3. A lack of optimization for e-commerce : Unsuitable descriptions are harmful to SEO and online sales.

By integrating AI, we were able to respond to these problems with an automated and scalable approach.

The AI Solution Deployed

Our solution is based on three main axes:

1. Image Analysis and Feature Extraction

Using AI-based image recognition, we automatically extracted essential product attributes, such as size, color, material, and other defining characteristics.

2. Content Generation with NLP

Natural language processing (NLP) made it possible to generate high-quality product descriptions adapted to marketing and e-commerce requirements.

3. Automated Data Structuring

Our system classified and formatted the data in a structured manner, facilitating their integration into the client's PMS as well as on external platforms.

The results obtained

Thanks to this AI-based solution, the improvements have been significant:

• 100% of product sheets enriched : Each product has benefitted from detailed descriptions, improving the user experience and the online search.
• 70% reduction in processing time : Automated workflows have significantly reduced manual effort.
• Improving e-commerce performance : Higher quality content has increased customer engagement and conversion rates.

Why Use AI for Product Data Management?

Adopting AI solutions for product information management has a number of benefits:

• Scalability : AI makes it possible to process large volumes of data quickly and efficiently.
• Consistency and precision : Automated validation guarantees optimal data integrity.
• Marketing improvement : AI-generated descriptions are optimized for SEO and online conversion.

Conclusion

AI is an essential tool for optimizing product data management, by transforming laborious tasks into automated processes with high added value. Our solution not only saved time and resources, but also improved the quality and relevance of product information. Strat37 continues to innovate by offering AI solutions adapted to the specific needs of companies wishing to optimize their data management strategy.

Do you want to discover how AI can improve the management of your product data? Contact us for a personalized consultation!