In an innovative move to revolutionize luxury e-commerce, Kakaobuy has introduced its proprietary Dior Saddle Bag Strap Adaption Algorithm. By analyzing thousands of global customer body measurements, this AI-driven tool predicts optimal strap configurations for the iconic bag—drastically improving comfort and reducing returns.

How the Kakaobuy Spreadsheet Works
The system leverages biometric inputs including:
- Height and shoulder width
- Carry frequency (daily vs. occasional use)
- Body proportions (petite/curvy/tall frames)
Using machine learning models trained on 12,000+ fitting sessions, the algorithm suggests:
- Ideal chain length adjustment (+/- 2cm precision)
- Crossbody or shoulder-carry recommendation
- Personalized 3D preview with fabric drape simulation
Measurable Impact on Luxury Retail
Since implementation, Kakaobuy reports:
Metric | Improvement |
---|---|
Overall return rate | ↓19% |
Satisfaction (petite customers) | ↑32% |
Add-on accessory sales | ↑27% |
"Traditional sizing tools failed couture buyers—our shoulder torsion modeling fixes that. A customer who’s 5’2" gets different physics than someone 6’0"."
- Kakaobuy's Chief Technology Office
Global Expansion Plans
The success with Dior has prompted development for other designer bags. Read about the next-phase adaptations
Experience the algorithm: Upload measurements via Kakaobuy’s AR fitting room.