Optimally manage your workforce schedules accounting for peaks and valleys in workload and sales activities. Track your store KPIs. Get fast and easy insights.
Workforce planning determines workforce requirements, identifies the gap between the present and the future, and recommends schedules to achieve commercial targets. In summary, scheduling the right number of people with the right skills in the right place at the right time and minimize cost.
Solvoyo’s web-based solution provides a fully configurable UI for automated data analysis focusing on end-to-end planning and transparency across the entire store operations network. The collaboration across different teams is easy on our cloud-based platform.
A more dynamic and automated process
The multi-objective optimization model recommends employee shift schedules in stores according to workload forecasts within a given budget in line with employee skills, labor laws, and regulations. It optimally distributes the workforce in stores considering staff availability and real-time traffic data in all departments and stations such as checkout, fitting rooms, shop floor, and storage room resulting in better customer service. Weekly schedules including daily time-outs for all types of employees.
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Solvoyo User-Friendly UIs provides flexible reports and graphics offer both operational and tactical improvement opportunities and actionable insights regarding model outputs. Integration with ERPs and KPI tracking, including employee retention, seniority, sales productivity, average working hours, etc.
Identify variances in workload patterns across the week and within a day
Distribution of the available workforce in the store based on regulatory requirements and workload
Service levels by aligning shift planning with workload and employee skills while accommodating breaks, vacations and regulatory requirements
Identify variances in workload patterns across the week and within a day1 of 3
Distribution of the available workforce in the store based on regulatory requirements and workload2 of 3
Service levels by aligning shift planning with workload and employee skills while accommodating breaks, vacations and regulatory requirements3 of 3
Optimally distributing the workforce in stores considering staff availability and real-time traffic data in all departments resulting in better customer service
Observing general store performance by comparing different business scenarios using metrics such as store attributes, traffic, and sales data
Store clustering according to respective similarities to compare cost, revenue, or store traffic