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Fabory

Utilizing the advanced tools from Squadra Machine Learning Company, Fabory has optimized its product categorization and data quality, leading to improved internal processes and enhanced customer satisfaction.
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March 31, 2023 • 2 min read
AI   Powersuite.ai  
AI   Powersuite.ai  
Fabory
  •   Enhanced database
  •   Defined category hierarchy
  •   Enriched customer experience
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Fabory stands as the leading provider of fasteners in the Benelux region, boasting a catalog of over 400,000 products. The company supplies a comprehensive selection of fasteners, tools, industrial products, and bespoke items. The product line is continuously expanding and is accessible through its online store as well as Fabory Centres. Fabory operates across ten European nations, maintains ten branches, five distribution hubs, and collaborates with 3000 suppliers.

Challenge  

The extensive product range at Fabory necessitates a meticulous classification system paired with detailed documentation. A well-defined category hierarchy and effective classification methods are essential to uphold Fabory’s global leadership in the market. This initiative requires robust controls and data uniformity. To achieve this, Fabory sought tooling that would not only aid in establishing a data model and essential quality standards but also facilitate data cleansing according to those standards. Fabory turned to Squadra Machine Learning Company for this tooling.

Solution  

Squadra Machine Learning Company specializes in Smart Product Data Management and AI-Commerce. Using the software services from powersuite.ai  , Squadra MLC is focused on refining product data. With their expertise and foundational software components from powersuite.ai  , Squadra MLC can assist Fabory in clustering, classifying, and ensuring the quality of data to create a solution tailored to their needs. The tool developed by Squadra suggests a suitable category framework and enhances features within those categories.

The solution’s primary function will be to recommend product categorization and classification based on Fabory’s existing data from flat files, allowing users to accept or reject these recommendations while learning from their feedback to optimize future suggestions. Additionally, the tool must recommend data cleanup and normalization procedures, offering options to reverse actions or implement them repeatedly. Fabory emphasizes that while it desires suggestions, it retains control over the process and will not permit any actions to be executed without human consent.

Result  

Squadra has equipped Fabory with tools that support an in-depth classification system alongside a thorough documentation framework. This refined category structure streamlines both internal and external operations. This enhancement applies to the data provided as well as the product showcase on the webshop. With clearer product information, customers can more efficiently navigate their journey, arriving at their desired products more swiftly.

 Sonepar
Partyboss 
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