AI-Powered Product Categorization & Data Extraction:

Automating Taxonomy for 80,000+ SKUs

Two $250M Consumer Products & Apparel businesses were merging & consolidating ERP systems
Client had over 80,000 SKUs that needed to be categorized into a new, consolidated six-level product hierarchy
Valuable master data was embedded in part descriptions but difficult to extract manually
Manual categorization and data extraction processes were time-consuming and error-prone
Client sought an automated solution to streamline product taxonomy and master data management

Developed a custom-trained GPT (Generative Pre-trained Transformer) model specifically tailored to the client’s product data and hierarchy
Leveraged advanced natural language processing techniques to enable accurate SKU categorization and master data extraction
Utilized the AI model to optimize the product categorization process, resulting in a more efficient consolidation of ERP systems post-merger.
Integrated the model into a user-friendly interface for easy access and utilization by the client’s team

Categorized 80,000+ SKUs into the six-level product hierarchy with high accuracy
Extracted valuable master data from part descriptions, enabling enrichment of product records
Significantly reduced the time and manual effort required for product categorization and data extraction
Improved data quality and consistency across the product catalog
Laid the foundation for enhanced product analytics