Product Data Auditing & Categorization for a U.S. eCommerce Brand

A fast-growing U.S.-based eCommerce company reached out to Femote to help clean up, audit and categorize its product data. As their inventory scaled across categories and platforms, inconsistencies in product naming, classification, and metadata were beginning to impact both customer experience and internal operations.

They needed a partner who could bring order to the chaos efficiently and accurately.

The engagement had two clear objectives:

1. Audit over 70,000 product entries across multiple categories to identify inconsistencies, missing fields, duplicates, and incorrect labels.
   
2. Categorize products into a new, streamlined taxonomy designed to improve searchability, filtering, and platform alignment.

• Data Assessment & Planning
  Using the categorization framework given by the client, we conducted an initial sample audit to understand the data gaps, inconsistencies, and edge cases.
  
• Annotation & Categorization Team
  A trained team of data specialists manually reviewed and annotated each product entry, ensuring alignment with the new taxonomy.
  
• Quality Assurance at Scale
  Every batch underwent peer review and spot checks. Edge cases were escalated and discussed with the client weekly.
• Collaborative Updates We maintained close collaboration with the client’s product and engineering teams, providing weekly reports, flagged issues, and progress snapshots.

• 70,000+ product records audited and recategorized within 6 weeks
  
• 97% accuracy rate based on post-project client QA sampling
  
• 30% reduction in duplicate listings across platforms
  
• Improved product search and filter performance, contributing to a smoother customer experience and easier backend inventory management

At Femote, we specialize in transforming messy data into clean, usable, and scalable assets. Whether you're an e-commerce company scaling your catalog or a tech company training AI models, we bring the people and process to get it done right, quickly and affordably.