Overstaffed financial centers erode a financial institution’s profitability through high personnel costs and under-utilized resources. Understaffed locations create long wait times, unhappy customers, and stressed-out employees.
In response to the need for an effective, comprehensive staffing application, ARGO developed Workforce Management. The solution maximizes productivity by uncovering historic trends and using real-time inputs to forecast transaction volumes, predict customer traffic patterns, and create staffing recommendations. Seamlessly integrating with ARGO Teller Payments, Workforce Management determines the right number of tellers to effectively staff financial centers.
Accurately Forecast Transaction Volumes
Advanced analytics evaluate historical data and traffic patterns and accurately forecast transaction volumes for each location. The engines also generate customized staffing recommendations and specify the appropriate number of tellers based on the forecast and the configuration settings.
Increase Satisfaction and Loyalty
Your institution can apply recommended schedules and measure the impact of changes on wait times to deliver a consistent customer experience, build relationships, and meet service goals. The result: increased customer satisfaction and loyalty.
Using Workforce Management, you can build reliable, realistic schedules based on staffing roles, skills, productivity, and availability to meet employees’ preferences and time off requests. You can also create consistent workloads and reduce employee stress by scheduling the right number of tellers during peak periods and downtimes.
Increase Staff Productivity
Your institution can continuously monitor and compare actual traffic with forecasted demand to identify slow times and reassign employees to other tasks such as sales or customer follow up for the most efficient use of staffing.
Using the solution’s extensive reporting capabilities, you can analyze absences and overtime and identify trends. You can also employ goal-driven recommendations and track each location’s adherence to achieve optimal staffing levels and reduce overtime.