Data classification
Data standard classification with AI.
Every day, massive amounts of product data are generated, making efficient management crucial. Data classification is the key to keeping it organized, secure, and easily accessible. By automatically aligning your data with global standards like GS1 and ETIM, you can simplify data management across platforms and industries.
Data classification
Why would you classify your product data?
By assigning specific labels or tags to data, you can manage your information more effectively. By categorizing based on type, sensitivity and importance you will streamline your processes, enhance decision-making and ensure compliance with regulatory standards. Adopting data classification practices offers several strategic advantages across different industries.
Marketing & E-commerce
Classifying product data with standards like GS1 boosts discoverability, enhances SEO, and enables personalized customer experiences, driving higher conversions and satisfaction.
Inventory & supply chain
Structured product data is vital for smooth operations. Standardized classification prevents errors, ensures accurate details, and streamlines supply chains between suppliers, wholesalers, and retailers.
Manufacturing
Product data classification, using standards like ETIM, ensures organization, quality, and seamless integration with industry wide systems of suppliers and retailers, optimizing production processes.
The challenge
Chaos in your data leads to costly mistakes.
Failing to implement proper data classification according to universal data standards can lead to significant challenges. Retailers face inconsistent product info, which leads to poor customer experiences, wholesalers struggle with data inefficiencies, and manufacturers risk production issues and limited scalability. Standardized classification ensures accurate data sharing and seamless operations.
Operational inefficiencies
Without data classification, errors and inefficiencies arise, wasting time on data searches.
Inconsistent standards
Varying data standards lead to mismatched descriptions, pricing errors, and manual fixes.
Compliance risks
Unclassified data can cause errors, leading to regulatory violations and fines.
Standardized data
Key benefits of standardized product data.
Incorporating automated data classification into your organization’s data management strategy is not just a technical necessity but a strategic move that can lead to improved efficiency, security and overall business performance. Implementing a robust data classification strategy yields multiple benefits for your organization
Optimized business operations
AI-driven data classification cuts costs, improve product listings and can gain you up to 30% in operational efficiency (Cognitive Market Research, 2025).
Seamless data exchange
Automated classification boosts efficiency by 30% (Gartner, 2023), improving supplier and retailer interoperability and data visibility through BMEcat.
Improved compliance
Ensure ETIM and GS1 compliance, preventing fines. With 80% of product content inconsistent (GS1 UK, 2018), proper classification solves standardization gaps.
Cost reduction
Data classification reduces data management and security time by 40% (Mordor Intelligence, 2024), lowering storage and management costs.
More accurate decision-making
Data-driven organizations are 23x more likely to acquire customers and 19x more likely to be profitable (McKinsey). Accurate data classification unlocks this potential.
Automated classification for your product data.
Managing large volumes of product data can be overwhelming, but it doesn’t have to be. Our AI-powered tool, PowerClass, automatically transforms messy data into clean, structured formats, aligning with global standards like GS1 and ETIM. Save time, reduce errors, and streamline your data management with automated classification.
Customer cases
Discover our success stories.
Read some case studies of retailers, wholesalers, and manufacturers who have successfully deployed our data classification solutions.
