Spindle CORE
Workforce
CMMS
Water & Energy
Equipment Utilization
Requirements & Staffing
Rail
Spindle Robotics
Spindle Intelligence
Spindle Vision
Food & Beverage
Hospitality
Healthcare
Industrial
On-Premise
Executives
Engineering
Information Technology
Plant Managers
Human Resources
Front-Line Employees
Democratizing Work for Commercial Laundry Employees
Commercial laundry employees always want to know where they stand and if they’re meeting targets management has set for them. But without data, they can often have no idea if they’re meeting the grade. With Spindle, that never has to be the case. With the transparency of visual data displays and automated data collection, employees can feel confident they are being judged on the merits of their work.
Nurture Good Habits and See Productivity Soar
No matter your role on the plant floor, building a career starts with nurturing good habits. Spindle’s visual data displays help grow accountability to both your team and yourself. When you’re able to visualize how you’re doing, you’re motivated to keep successes going. Building those habits can serve you well if you have aspirations to move into other roles (like a supervisor or management position).
Have Complete Clarity and Alignment on Your Goals
One challenge a frontline employee might be having is this: “I don’t know what is expected of me or which metrics I am being judged on.”
Spindle helps facilitate the distribution of that information in easy-to-digest dashboards. As a production employee, you can have clear knowledge of where you’re meeting your important KPIs and where you have room for improvement.
Hear from Our Customers
“It is the most invaluable piece of equipment you can install into your plant.”
“I have been in the industry for many years. We have been using Spindle for over a year, and I can honestly say it's the best investment I have ever made in improving operations.”
"With Spindle, we manage the plant differently. In the past, it was 'I think.' Today, if we are going to get a big account or a machine breaks down, we know what it’s going to do to us and plan accordingly. We now have good data to make good decisions.”