Educational utility for fast IFRA screening
Check a restricted component against common IFRA classes in seconds. This public page is designed for fast educational screening, not as a replacement for your internal compliance workflow.
This version sits between a simple lead-gen widget and a full professional calculator. It is compact enough for a landing page, but structured enough to demonstrate category selection, multi-material screening, and expert-level review logic.
Choose a reference restricted component, enter its level in the finished product, and select the product type. The result updates instantly below the form.
Start with the finished product profile. The wizard maps it to one IFRA category and uses that class as the screening context for every material below.
Add 1 to 6 materials from the starter library and enter each level in the finished product. This makes the tool feel closer to a real formula review workflow without turning it into a backoffice form.
The summary on the right updates instantly. Use it to catch obvious issues, identify specification-only checks, and move qualified users toward a full review.
Educational purpose only. Always validate IFRA compliance against your current amendment, source documents, full fragrance composition, and product context before commercial release.
A compact starter dataset based on local IFRA import samples. The full in-app workflow can scale this into a deeper ingredient library and full formula analysis.
The desktop software flow shown in your screenshots starts with a fragrance composition, converts it into a structured mixture, then runs an IFRA check against the selected standard and category.
The real value is not the popup itself. It is the chain behind it: saved compositions, imported analytics, confidence scoring, ingredient-by-ingredient breakdown, and a reusable compliance workflow.
You can absolutely borrow the UX idea: quick screening first, detailed diagnostic second. But do not copy third-party calculations blindly. Use the interaction model, then back it with your own verified datasets and compliance logic.