For landlords and brokers.
A page for landlords, brokers, and asset managers who need data to back leasing fitness, rent negotiations, and acquisition or disposition decisions.
Diagnostic outputs
- BTI — customers per 10 py (≈33 m²), by hour
- Waiting count — queue at the storefront (field surveyors)
- Time-of-day pattern — lunch / dinner / weekend distribution
- Adjacent-store relative comparison (block level)
- Generative AI scene — visual context, not a floor plan
Store types we currently cover
- Cafe and F&B (first priority)
- Offline retail and bakery
- Apparel and lifestyle stores
- Clinics and service venues (on request)
Case studies (Beta — in preparation)
- Large asset-consulting engagements run after a Beta agreement.
- Concrete cases are shared after NDA.
Send email
realdatalab@realdatalab.co.kr
Send emailExpect a reply within 1-3 business days.