Returns & CX Apr 1, 2027 5 min read
How to Personalize Size Recommendations by Customer History
Logged-in customer with purchase history = ability to personalize size recommendation. AI fit uses this to predict size for new product based on what fit/didn't fit before.
The Chart
| Data Point | Use |
|---|---|
| Past sizes purchased | Baseline preference |
| Returned items + reason | What size to avoid |
| Kept items (no return) | What size works |
| Fit feedback ('runs small') | Adjusts recommendation |
| Body measurements (saved) | Direct mapping |
| Style preferences (slim/relaxed) | Tunes recommendation |
FAQs
Privacy concerns?
Body measurements + return history are sensitive. GDPR/CCPA compliance required. Customer must consent to personalized size feature. Most accept for the value.
Logged-out customers?
Cookie-based fit profile from quiz answers. Less data than authenticated. Still better than no personalization.
Need this on your store?
Tailor Size Guide ships pre-built size charts for Shopify.