Commerce Data Insights
Analysis and methodology from Miozu's behavioral data platform
Research Publications
We are preparing our first public research report based on aggregated behavioral data from the J'ko AI platform. This will include analysis of commerce patterns, demand signals, and methodology documentation.
Data Coverage
Our research is based on behavioral events from production commerce applications.
Event Types
- Virtual try-on interactions
- Style preference signals
- Purchase intent indicators
- Conversion events
Data Characteristics
- First-party generation
- Intent-labeled events
- GDPR/CCPA compliant
- Production-grade quality
Verticals
- Fashion e-commerce
- Apparel retail
- Style discovery
- Size & fit
Methodology
How we collect, process, and analyze behavioral data.
Collection
Events captured from J'ko AI virtual try-on interactions with user consent.
Processing
Anonymization, deduplication, and quality filtering applied to raw events.
Labeling
Intent classification and outcome attribution added to structured events.
Analysis
Aggregated statistics computed with differential privacy guarantees.
Request Research Access
For enterprise partners interested in early access to research publications and custom analysis.