How operators
use PricEye.
Three pilot patterns we see across our beta cohort. Each scenario is composite and anonymized — we never publish operator names or specific revenue figures without written consent.
Manual rate-shopping every Sunday for the next 30 nights. GM spending 6+ hours a week on pricing decisions defensible to ownership. Event weekends repeatedly underpriced because the comp set check happened too late.
PricEye runs over the existing Mews calendar via the Chrome extension. Three suite types × €8.99 = €26.97 per month. Ownership reports auto-export weekly with the 80-factor breakdown attached to each rate.
Pilot pattern: event-week revenue captured systematically, with rationale documented for the ownership review. The GM gets the Sunday morning back.
Paying competitor pricing tool €95 per month for 5 listings — same engine quality, same recommendations, but billed per listing. Wanted explainability for co-investor reports without paying enterprise pricing.
PricEye runs €8.99 × 2 property types = €17.98 per month. 80% cost reduction, same engine. Plain-English rationale shows up in the calendar for each night.
Pilot pattern: per-property-type billing produces the largest absolute savings for multi-listing hosts. The pricing model itself is the differentiator.
PMS partner wanted to offer their customers a pricing layer without building one internally. Needed white-label, fast time-to-market, and a revenue-share that produced shared upside.
PricEye REST API + Plug & Play widget embedded in the partner UI. Zero PricEye branding. Revenue share structured around uplift attribution.
Pilot pattern: the PMS gets a defensible AI pricing layer in production within weeks. Customers stay on the PMS longer. Both sides earn.
Run the pilot. Get a year free.
We're publishing 5 named case studies in 2026. Operators who agree to a published study get their first year free plus founder support.
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