Cutting a EU hotel group's outsourcing staffing spend by 70% with intelligent staff allocation
A major European hotel group was spending heavily on outsourced staffing to cover demand peaks across dozens of properties.
The challenge
A major European hotel group was spending heavily on outsourced staffing to cover demand peaks across dozens of properties. The allocation process was manual, reactive, and expensive — managers called agencies ad-hoc, often overstaffing to avoid gaps.
The solution
We built an intelligent staff allocation platform that forecasts demand per property using historical occupancy data, event calendars, and seasonal patterns. The system matches available internal staff across properties, filling gaps with external agencies only when internal coverage isn't possible. An approval workflow lets property managers review and adjust allocations.
The impact
The platform reduced the group's outsourcing staffing spend by 70% within the first year. Internal staff utilization improved significantly, and property managers reported spending a fraction of the time on staffing decisions.
Technologies used
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