[ Publication status ]
Examples, not verified client evidence
The client names, figures and outcomes on these example pages have not been verified for publication. Do not treat them as independently audited results, confirmed customer endorsements or guaranteed returns. Ask Fourtell for approved evidence relevant to your project.
[ Short-term rentals · NestWatch Property Group ]
AI turnover inspections cut cleaning disputes by 74%
A computer-vision platform that analyses cleaner-uploaded photos and walkthrough video to score cleaning consistency, flag out-of-place furniture and detect potential theft between guest stays.
- Cleaning disputes
- -74%
- Time to live
- 11 weeks to deployment
- Engagement
- Rent-performance SaaS
The challenge
NestWatch was managing 2,400 short-term rental units across 6 cities and losing revenue to inconsistent turnovers, missed damage, misplaced inventory and guest-vs-cleaner disputes that were impossible to adjudicate after the fact.
Our approach
Fourtell built a bespoke vision pipeline that compares each turnover's photos and 60-second walkthrough video against a per-unit reference model, scoring cleanliness, detecting furniture displacement and flagging missing high-value items in under 90 seconds. Deployed as a rented SaaS priced per inspected turnover.
The outcome
- 74% reduction in guest cleaning disputes within two quarters
- $1.9M in previously-unrecovered damage and theft claims documented in year one
- Turnover approval time cut from 40 minutes to under 3 minutes per unit