Automating product data extraction for Sonepar.

Sector

Wholesale Distributor

Products

5,000,000+

Employees

48,000+

Sonepar, a global leader in B2B distribution of electrical products, has faced significant challenges in managing the vast array of product data from suppliers who do not always adhere to the standardized ETIM format. This case explores how Sonepar overcame these challenges by implementing an AI-powered solution to streamline and automate the product data extraction process.

Background

Founded in 1969, Sonepar is an independent family business that operates 145 companies across 48 countries. As a global market leader in electrical product distribution, Sonepar serves over one million customers with a diverse product range. The company is committed to providing top-tier solutions and services through its extensive network of 48,000 employees and 3,000 offices worldwide.

The challenge.

  • Unstructured product data

    Sonepar receives product descriptions from suppliers that often combine product names and characteristics in long, unstructured text. This required manual intervention to extract the necessary details, a time-consuming process.

  • Inconsistent data formats

    Not all suppliers deliver product data in the standardized ETIM format. This inconsistency made it difficult to ensure accurate classification and proper data exchange within the supply chain.

  • Manual data entry

    Due to the lack of standardized product data, product characteristics were often manually extracted, resulting in incomplete product specifications or products being omitted entirely from Sonepar's range.

Our solution.

  • AI-powered data extraction

    The PowerEnrich solution uses artificial intelligence to intelligently identify and map product names, characteristics, and abbreviations, matching them to the ETIM standard.

  • ETIM data model training

    The system is trained specifically on Sonepar’s ETIM data model and the languages used for product descriptions, ensuring precise mapping and classification.

  • Rule-based refinements

    Data stewards can further refine the extraction process by adding custom rules, improving accuracy and allowing for better product data enrichment.

The result

PowerSuite has empowered Sonepar to...

Accelerate product integration

Sonepar can now integrate products from suppliers who do not follow the ETIM standard more efficiently, expanding its product range more quickly.

Create richer product specifications

The automation of data extraction results in more detailed product specifications, leading to higher-quality product listings.

Save time and costs

The automation of product data extraction has significantly reduced manual work, saving time and money while enhancing overall business efficiency.

 
 
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Guus van de Mond

Founder & CEO

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