Sifter Data Management unleashes the full power of your product data.
Assign category classifications
Apply Natural Language Processing (NLP) to return constituent structure for ingredients and allergens
Determine certifications and claims based on package text and imagery
Verify that products are comparable within the same category
Match fit with 200+ dietary filters comprising allergens, lifestyle diets, health diets, medication classifications, nutrient attributes, and more
Enable exclusion of ingredients beyond the top 9 allergens through ingredient codification
Validate data against regulatory rules and conditional rules based on combinations of attributes and interdependencies
Ensure all fields and values are appropriately populated
Rigorous evaluation of data at onboarding and offboarding; products with unexpected results at any point are rerouted for review and remediation at root cause
Routinely audit and review data on an ongoing basis
Identify anomalies and suspicious data through automated exception reporting
Assign Sifter Confidence score to every batch prior to production; share quarterly reports with clients
2x more likely to buy a product with wellness badges
Product pages with label data convert 1.5x higher
Dietary attribution unlocks hidden products
Define requirements and opportunities
Evaluate and scope out existing and potential data sources
Identify and prioritize data enrichment features
Customize the data management program for your business
Implement program on a systematic, ongoing basis
Provide you with data support, upgrades, and performance reports