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Workforce Management enables operators to control labor costs and overtime, streamline the human resources process by managing employees from hiring to termination, and efficiently process payroll.

eRestaurants easy-to-use software and complete automation of business processes ensure organizations successfully control labor costs, enable decisions, and build better business efficiencies. Our open system architecture offers maximum flexibility and a seamless integration with existing ERP and third party payroll systems. In contrast to other scheduling solutions on the market our scheduling optimization tools deliver best-fit schedules for restaurant organizations that balance anticipated customer service requirements with the restaurant budget guide and labor constraints. This ensures that employers can optimize sales and customer service levels, while delivering higher employee satisfaction that reduces costly employee turnover.

  • Time and Attendance
    Track employee time against schedules, completely automating the calculation of the organization's pay and business rules. Real-time access to integrated data enables restaurants to control labor costs, efficiently deploy team members, and reduce the amount of time spent administering workforce management processes.

  • Analytics
    Provide actionable reports and analysis of employee and workplace information, allowing managers to proactively identify and make informed decisions on staffing, overtime costs and budget forecasting.

  • Employee Availability
    Take into account multiple social and workplace constraints, such as minor laws, staff availability, fixed shifts, time-off requests, seniority, skill sets, break rules, overtime rules, and labor regulations.

  • Employee Self-Service
    Empowers employees and supervisors and eliminates time consuming call and administrative changes requests. This solution integrates with existing systems, alerting decision-makers when they need to act on information or a request.

  • Labor Forecasting
    Generate demand-based schedules based on a variety of forecasted metrics, such as historical sales and customer traffic data, seasonal variations, and staff productivity data.

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