Enhancing data quality for Technische Unie.
Sector
Technical Wholesaler
Products
2,500,000+
Employees
2,000+
Technische Unie, the largest technical wholesaler in the Netherlands, continuously strives to optimize its product data to support customers with accurate and complete information. To improve data quality and streamline processes, Technische Unie partnered with Squadra Machine Learning Company for a proof-of-concept (PoC) using PowerImprove.ai.
Background
Founded in 1880, Technische Unie has grown into the leading technical wholesaler in the Netherlands, offering an extensive range of products and solutions. With 2,000 employees, 37 branches, 22 transfer points, and two distribution centers, Technische Unie provides specialist knowledge and seamless service to its customers across various industries.
The challenge.
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Inconsistent and incomplete data
Like many companies, Technische Unie faced challenges with data quality—product information was often incorrect, incomplete, or inconsistent.
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Complex product classification
Ensuring that products were accurately classified across different categories was difficult, leading to potential confusion in product searches and selections.
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Time-consuming manual data management
Correcting and maintaining product data manually was inefficient and resource-intensive, requiring an automated solution for improved accuracy and efficiency.
Our solution.
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Automated data enrichment
PowerImprove.ai enhanced Technische Unie's product data by automatically extracting attributes from texts, images, PDFs, and websites.
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AI-driven data validation
The software used smart algorithms to detect inconsistencies, anomalies, duplications, and improbable values in the product database.
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Improved product classification
PowerImprove.ai ensured products were correctly categorized, reducing errors and enhancing the overall data structure.
The result
PowerSuite has empowered Technische Unie to...
Increase data accuracy
Automated detection and correction of data inconsistencies improved overall product data quality.
Enhance operational efficiency
Reducing manual data correction efforts led to significant time savings for Technische Unie.
