Flexkeeping's Housekeeping Automation Numbers Come From Two Hotels, Both Named by Mews

Mews says its Flexkeeping product automates up to 70% of administrative housekeeping tasks and returns 20 to 30 hours a month to managers who previously rebuilt cleaning schedules and staffing forecasts by hand — a real claim, but one made entirely in a vendor blog post with vendor-selected case studies, worth reading with an operator’s skepticism rather than taking at face value.

The mechanism itself is straightforward: Flexkeeping, a Mews-owned automation layer, builds housekeeping plans and staffing forecasts directly from live reservation data pulled through the PMS, replacing spreadsheet- and whiteboard-based scheduling that requires a manager to manually reconcile check-ins, check-outs, and stay-overs. That’s a coordination problem every property-management-system vendor has tried to solve in some form; what’s specific here is reservation-data-driven forecasting rather than a static cleaning checklist.

The two cited results are the whole evidentiary base. At Clarion Hotel The Hub in Oslo — 800-plus rooms — Mews reports work allocation running 93% faster and staff satisfaction scores up 75% after adoption, with Style Manager Iluta Skromane-Almo quoted saying, “After implementing Flexkeeping, we hit our efficiency KPI for the first time since opening six years ago.” At Hotel Jakarta Amsterdam, the company reports an 84% reduction in the time housekeeping managers spent gathering cross-department information. Both are specific numbers from named properties — not the vague “up to X%” framing that usually signals a marketing floor — but neither comes with a stated methodology, baseline period, or third-party audit.

Nothing else in the wiki’s housekeeping-automation, workforce-efficiency, or hotel-technology-adoption tags corroborates or contradicts these figures — this is a single-source vendor story with no outside case study to check it against yet. For operators evaluating it, the labor-cost-percentage argument is the one worth testing directly: ask for the raw scheduling-hours data before and after, not the vendor’s percentage.