Use RPA to gather data on past labor needs for the store location from various sources such as scheduling software, time and attendance records, market research and sales data. This data is then analyzed using AI-based analytics to identify patterns and trends in labor needs. The resulting AI model can help forecast future labor needs.
Forecasting the labor needs allows the retailers to ensure that they have the right number of employees scheduled at the right times, reducing overstaffing and understaffing, which improves the efficiency and reduces costs.