Company
Our Methodology
Recommendations are built from ingredient data, not marketing copy. Here is how scoring works.
1. Ingredient Parsing
We normalize raw ingredient lists into consistent tokens, identify key actives, and map known aliases to canonical names.
2. Formula Similarity
Products are compared using active overlap, supporting ingredient families, and category relevance to estimate formula-level similarity.
3. Ranking
Matches are ranked by similarity score, price savings, and user feedback to prioritize practical alternatives.
4. Human Feedback Loop
Community ratings and reviews help validate outcomes and continuously improve recommendation quality.