Gartner defines the warehouse labor optimization and management (WLOM) systems market as specialized software applications that use both qualitative and quantitative approaches and data-driven (often engineered) standards to track and manage labor in warehouse operations. These systems also enable the optimization of short-, medium-, or long-term warehouse labor demand, both overall and broken down by task, skill set, process area, and other relevant factors. Warehouse labor optimization and management (WLOM) systems have evolved from traditional warehouse labor management systems (LMS), also known as warehouse workforce management (WFM). They help align workforce capacity with the fluctuating operational demands of distribution centers (DCs) and fulfillment centers. These solutions apply labor standards and offer analysis of qualitative and quantitative performance data. Through these and other features, they address critical business problems such as labor understaffing or overstaffing, throughput and process inefficiencies, excessive overtime expenses, and the inability to measure and reward individual and team performance.