Kronos and Axsium Group Launch Solution to Optimize Store Productivity With Big Data
Kronos Incorporated and Axsium Group have launched a retail store performance plug-in to add simplicity and effectiveness to global corporate, store, and field managers through automated, guided decision-making. Powered by the Kronos Workforce Analytics application, the new plug-in uncovers gaps in important areas that impact customer and employee satisfaction, helping create optimized schedules by balancing working hours, employee availability, and consumer demand.
The new store performance plug-in provides a single tool to help guide and improve decision-making and track performance across the labor planning, scheduling, and staffing continuum. This is done by synthesizing volumes of scheduling, productivity data, and time clock entries against key performance indicators (KPIs) such as employee availability, preferences, skill sets, and consumer demand.
A role-based dashboard highlights key data and metrics to simplify decision-making and managers gain at-a-glance visibility into how labor is affecting store performance. This helps improve outcomes for the employee, consumer, and the retail business.
Each employee persona in retail benefits in unique ways with better data access through the new plug-in. For example, corporate managers can view a heat map and focus on a snapshot of scheduling performance at a regional level, and analyze trends to determine whether a specific store is consistently underperforming. The same visualization of data is translated for store managers to instantly show them whether employees are being scheduled when they are available and willing or whether they have received up-to-date training.
For retail associates, this offers the opportunity to be scheduled when it suits them best and gain further professional development opportunities through identification of gaps in training.
The store performance plug-in helps retailers understand how well store schedule creation is performing from a corporate, store, and field level, while taking into consideration associate preferences. This helps retailers optimize their workforce as a competitive differentiator while further improving employee engagement.
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