A platform built for precision.
Every part of SizeFit AI exists to do one job: turn body measurements into confident purchases.
Weighted recommendation engine
Rule-based scoring across chest, waist, hips, height and weight with per-measurement weights. Fit-preference adjustments shift the recommendation up or down. Returns a 0–1 confidence value built to be replaced by an ML model.
Multi-chart size system
Create per-product, per-brand or per-category size charts. Define min/max ranges for every measurement. Duplicate charts across collections in one click.
Drop-in widget
A single script tag installs the widget on Shopify, Magento, WooCommerce or any custom storefront. Customise colours, copy and placement from your dashboard.
Live analytics
Recommendation volume, top sizes, accuracy trends and widget interaction rates — all updated in real-time. Identify products that consistently mis-fit.
GDPR-by-design
Body measurements never persist. Only outcomes — recommended size, confidence, and anonymous session ID — are stored.
Edge-served latency
Recommendations return in under 200ms globally. Your PDPs stay fast.
Tenant isolation
Strict row-level security between stores. Your data is yours. Always.
ML-ready contract
The recommendation API contract is stable: swap the rule engine for a trained model without touching consumers.