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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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