Product Information Structuring for Consumer Transparency Platform
The Client Need
A consumer data intelligence platform needed structured product attribute extraction from thousands of FMCG, nutrition, and supplement labels to improve their database for transparency and regulatory compliance tools.
Our Approach
We trained a team of 25+ product data specialists, supported by a team lead, QA analyst, and trainers. Using a 4-entry model for validation, we ensured every product attribute — from ingredients and claims to warnings and nutritional panels — was entered and confirmed through intelligent matching.
The Process
- Images uploaded and classified by product category
- Attributes segmented into "slices" (nutrition, ingredients, claims, etc.)
- Two independent entries were compared; mismatches triggered Entry 3 or Entry 4
- Final entries compiled into the structured dataset and validated
The Outcome
- 100,000+ product labels digitized monthly
- 98.5% FTR accuracy with reduced escalation rate
- Consistent support for growing database needs across multiple retail categories
Business Impact
- Enabled real-time transparency tools for end consumers
- Supported compliance for packaging and digital shelf requirements
- Scaled the client’s product intelligence operations significantly