ProHance - Use Case - Manufacturing Industry

How ProHance helped a leading Manufacturing Firm increase efficiency in their Finance & Supply chain processes by 21%

Executive Summary:

ProHance partnered with a global leader in the production of welding and cutting equipment to solve for productivity challenges they faced in their Finance and Supply chain functions. This was further compounded with limited visibility to how employees were spending their time as they worked from home.

ProHance solution helped increase productive hours by 21% in less than 6 months.

“We chose ProHance because it offered all the tools, we needed for better workforce management under one platform, such as real-time data, dashboards, and reports to derive inferences, enabling data capture for work from home users, dashboards for end-user consumption enabled us to drive self-governance within teams at the same providing a holistic view into our operations”

Challenges:

Our client had limited access to track what activities employees were spending their time on, in a day. These included trying to understand how much time was being spent in meetings and training. As a result, it was getting difficult to identify work patterns and how capacity was being utilized. This problem became more pronounced as employees started working from home.

How ProHance Helped:

ProHance worked closely to identify key challenges (outlined above) and developed a strategy to effectively deploy the ProHance tool. After careful consideration, it was decided to deploy the Work Time Module. The Worktime module helped capture logged hours, time on the system, time away from the system. Categorization of productive and non-productive activities was done to create insight into how the team was spending time on different tasks.

The tool was seamlessly deployed across users as they worked from home allowing senior leaders to have real-time access to their distributed workforce.

 Value Created:

ProHance provided a real-time dashboard with insights into the utilization and productivity of employees and teams. The ability to track user wise productivity level, as well as increased accuracy of actual vs planned hours helped load balance across the teams. End users were empowered to analyze and interpret their data, allowing them to self-govern.