Kronos and Axsium Group Launch Global Big Data Solution to Optimise Store Productivity.

With a focus onsimplifying complex workforce data, Kronos Incorporated and Axsium Group have jointly launched a retail store performance plug-in – the first of its kind – to add ease and effectiveness to global corporate, store, and field managers’ work days 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 optimised schedules by balancing working hours, employee availability, and consumer demand.

News Facts

  • The new store performance plug-in provides a single, powerful tool to help guide and improve decision-making and track performance across the labor planning, scheduling, and staffing continuum. This is done by synthesising volumes of scheduling, productivity data, and time clock entries against key performance indicators (KPIs) such as employee availability, preferences, skill sets, and consumer demand.
  • As a result, an intuitive role-based dashboard highlights key data and metrics to simplify decision-making and managers gain at-a-glance visibility into how labour 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 zero in on a snapshot of scheduling performance at a regional level, and analyse trends to determine whether a specific store is consistently underperforming. The same visualisation of data is translated for store managers to instantly show them whether employees are being scheduled when they’re 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.
  • Ultimately, 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 optimise their workforce as a competitive differentiator while further improving employee engagement.
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