Flux Hospitality: AI-Driven Smart Rostering and Operational Analytics

How a multi-venue hospitality group replaced manual rostering with a demand-forecasting system that optimises staffing levels and reduces labour waste.

The challenge

Flux Hospitality operates fourteen venues across Sydney and Melbourne — a mix of restaurants, bars, and event spaces. Rostering was managed venue-by-venue through spreadsheets and gut instinct. Venue managers would build weekly rosters based on what happened last week, adjusting for obvious factors like public holidays or large bookings. There was no systematic demand forecasting, and no visibility across venues to share staff during quiet periods or surge events.

The result was chronic misalignment between staffing and actual demand. Busy Friday nights were sometimes understaffed because a manager underestimated a local event's impact. Quiet Tuesday lunches carried three more staff than needed. Labour was Flux's largest controllable cost — roughly 34% of revenue — and leadership estimated that poor rostering was adding 8–10% waste on top of optimal levels. They needed a system that could predict demand with precision and generate rosters that balanced service quality with cost control.

What we built

A demand forecasting and smart rostering platform that generates optimised staffing schedules across all fourteen venues:

Demand forecasting engine — combines historical sales data, reservation volumes, local event calendars, weather forecasts, and public holiday schedules to predict covers and revenue per venue per shift, updated daily as new data flows in
Automated roster generation — takes forecasted demand, staff availability, qualification requirements (RSA, kitchen skills, event experience), and award compliance rules as inputs and generates draft rosters that venue managers review and approve
Cross-venue staff sharing — when one venue is forecast to be quiet and another short-staffed, the system recommends staff reallocation across nearby sites, reducing casual call-ins and agency costs
Real-time adjustment alerts — if a surge booking or cancellation changes the demand outlook mid-week, the platform flags the affected shifts and suggests roster modifications before the gap becomes a problem

The results

22% reduction

in labour cost as a percentage of revenue within the first quarter of operation

Roster generation time

reduced from 4 hours per venue per week to under 30 minutes of review and approval

Staff satisfaction scores

improved by 18% as rosters became more predictable and fair, with balanced shift distribution

Understaffing incidents

on high-demand nights reduced by 70% through event-aware demand forecasting

What the client said

Our venue managers were spending half a day every week building rosters in spreadsheets. Now the system gives them a draft that's already 90% right — they just tweak the edges. The cross-venue sharing has been brilliant. We used to call in casuals when one venue was slammed while the place down the road had people standing around.

Technology

Demand forecasting models trained on two years of historical POS data, integrated with reservation platforms, event APIs, and weather services. Optimisation engine generates compliant rosters within award rate constraints. Deployed as a cloud-hosted platform with venue-level dashboards and mobile notifications for staff. Flux Hospitality retains full ownership of all data and models.

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The challenge

What we built

A demand forecasting and smart rostering platform that generates optimised staffing schedules across all fourteen venues:

Demand forecasting engine — combines historical sales data, reservation volumes, local event calendars, weather forecasts, and public holiday schedules to predict covers and revenue per venue per shift, updated daily as new data flows in

Automated roster generation — takes forecasted demand, staff availability, qualification requirements (RSA, kitchen skills, event experience), and award compliance rules as inputs and generates draft rosters that venue managers review and approve

Cross-venue staff sharing — when one venue is forecast to be quiet and another short-staffed, the system recommends staff reallocation across nearby sites, reducing casual call-ins and agency costs

Real-time adjustment alerts — if a surge booking or cancellation changes the demand outlook mid-week, the platform flags the affected shifts and suggests roster modifications before the gap becomes a problem

The results

22% reduction

in labour cost as a percentage of revenue within the first quarter of operation

Roster generation time

reduced from 4 hours per venue per week to under 30 minutes of review and approval

Staff satisfaction scores

improved by 18% as rosters became more predictable and fair, with balanced shift distribution

Understaffing incidents

on high-demand nights reduced by 70% through event-aware demand forecasting

What the client said

Our venue managers were spending half a day every week building rosters in spreadsheets. Now the system gives them a draft that's already 90% right — they just tweak the edges. The cross-venue sharing has been brilliant. We used to call in casuals when one venue was slammed while the place down the road had people standing around.

Technology