Smart & Final Adds Store Planning and Workforce Technology to All Stores
Smart & Final has added store planning and workforce technology across all its stores to improve its operational efficiency and labor costs, while helping to continue ensuring regulatory compliance.
The grocer has completed implementation of Logile’s, store planning and workforce management solutions in all 256 of its stores across California, Arizona and Nevada.
"Previously, Smart & Final budgeted and managed labor at the store level using a sales per labor hour metric. Now, Logile's metric forecasting with AI machine-based learning algorithms helps us accurately forecast sales and other workload drivers from which we can develop scheduling requirements tailored to our specific labor standards and store characteristics," said Jonathan Gestine, Smart & Final's VP of Customer Systems.
Smart & Final implemented Logile's Enterprise Standards Manager, Enterprise Labor Model, Sales & Labor Planning, Forecasting, Staffing, and Employee Scheduling. All are supported on both desktop and mobile platforms to deliver the flexibility and performance modern retail companies need. These solutions enable retailers to understand true labor costs and impacts, improve labor utilization, and achieve unparalleled operational optimization and visibility. Logile's software supports compliance with regulatory requirements, including predictive scheduling, which applies to several Smart & Final market areas.
"Logile helped us transition to an earned hours program by department that is transparent to our managers and encourages sales growth," Gestine continued. "We are now scheduling associates across multiple departments at the task level—which has been transformative. Our managers have real-time visibility to make informed week-in-progress staffing and task assignment adjustments."
The scheduling solution automates and optimizes the employee scheduling process, delivering a single scheduling system with the sophistication to effectively handle all of Smart & Final's unique needs across store formats, sizes and states. Exception-based performance dashboards provide store leaders with actionable information, such as the variance across forecasted vs. scheduled vs. actual hours, to make informed week-in-progress decisions that protect service levels and costs.