RICOH Supervisor

Overview

An overview of RICOH Supervisor™, a SaaS-based business intelligence solution for print.

RICOH Supervisor

RICOH Supervisor™ is a cloud-based, vendor-neutral software solution that collects operational data locally from printers, and can be made to collect data from finishing equipment, software, and the shop floor. The solution then illustrates the operational data in user-friendly dashboards for easy access.

Supervisor empowers users to optimize device utilization, understand throughput to plan for peak capacity, increase staff and shift productivity and confidently make strategic investments to improve your bottom line.

Benefits

Eliminate the guesswork. Use real-time dashboards to optimize your print environment and make better business decisions based on data, not assumptions.

Shop-floor visibility.

Set and track goals for printers, operators and production by assessing web-based dashboards anytime.

Secured and scalable.

Cloud-based platform with encrypted data handling and flexible, subscription-based pricing.

Comprehensive data collection.

Gather shop-wide data from all of your devices with Supervisor's vendor-neutral and open-architecture design.

Intuitive, customizable dashboards.

Gain instant visibility into your operation's performance through clearly visualized dashboard interfaces that are viewable from anywhere you have internet access.

Data-driven decision-making.

Leverage a powerful business intelligence engine to create a thorough picture of your business and help inform purchasing decisions.

Performance evaluation.

By providing the tools to compare actual versus historical throughput you can analyze overall performance and individual device statistics to help optimize your processes and assets.

View the latest product information and contact us for a product demo to get an in-depth look at how we can help solve challenges your business is facing and to discover ways we can partner to grow your business.

Supervisor Login

RICOH Supervisor^™

Greater visibility through analytics

Overview