Following the data, rather than intuition, align your labour to demand using different models to suit your budget, service levels and staff availability. Rotageek’s forecasting algorithms combine historic data, trends and events to predict the labour demand for each task by location, down to 15-minute increments.
Increase basket size, conversion rate and NPS scores with trailblazing workforce forecasting that’s future-ready. Share optimised schedules months in advance, with the power to edit from any connected device.
Maintain a competitive edge cost-effectively, by forecasting your labour and workforce schedules with precision. Our forecasting algorithm results in a resilient planning strategy, optimising budgets to prioritise customer service. Forecasting benefits the wider business, as well as HR, payroll and workforce management teams. Our customers report an 8% saving on labour spend by optimising and maximising contract types, skillset and availability across locations, boosting ROI and leaving more budget to invest where it’s needed most.
Outsmarting traditional scheduling and legacy software, data-driven forecasting performs what a human or a spreadsheet can’t. Have the right staff on the right shift, and be guided by the data rather than intuition. Our customers have reported achieving a 25% improvement in shift-demand accuracy with our forecasting solution. With optimised, forecasted staff schedules your employees won’t be underworked or overburdened, boosting the employee experience. They can focus on their role, delighting customers and converting sales.
Minimise disputes or uncertainty by implementing evidence-based scheduling that justifies decisions. Through harnessing the power of AI, your workforce management continually improves and adapts in response to customer demands. Stand out as a pioneering employer with digitised scheduling processes that look after your workforce – as well as your bottom line.
Used in tandem with the pioneering Autoscheduler, Rotageek’s Forecasting solution uses any data point, for example, store footfall, transactions or patient check-ins to perfectly predict future demand down to a 15 minute interval.
With a custom-configured machine learning algorithm, it takes into account your staffing levels to accurately forecast labour demand and support the Autoscheduler in delivering even better schedules to suit your business.
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