Increasing Labor Productivity
by Instituting Pay-for-Performance

Before implementing Rebus, this leading American furniture store faced challenges with time-consuming data pulls and a lack of visibility into real-time labor metrics.

They struggled with tracking and managing productivity in real-time, as their data pulls were tedious and had often resulted in historical, unusable data. For example, one key metric, Pieces per Hour(PPH), required extensive time to collect and view and still could only be viewed historically. Without real-time visibility, operations and employees did not have the opportunity to proactively course-correct to meet their established goals for performance. 

They needed a solution that would provide real-time insights into labor productivity, labor performance, and throughput to manage their employees and operations better. In addition, the solution had to be easy to use, flexible, and provide complete visibility into operations in real-time.