At facilities with large equipment and complex operations, it’s difficult to keep track of equipment and the employees who operate them. This can lead to organizations spending lots of resources trying to locate the right equipment and repairing equipment after finding it’s broken. The Large Equpiment Tracking solution enables facilities to view equipment by exact location, monitor and proactively maintain equipment, and uphold employee safety guidelines.
Inventory managers can monitor the real-time location of their large equipment.
Administrators can manage outdoor zones and monitor indoor warehouses all in one interface, allowing users to quickly locate their equipment both onsite and offsite.
Administrators can set up alerts for when an asset enters or exits a zone or location. SMS and email notifications are sent the moment an event is detected, enabling staff to track rapidly respond and track down their equipment.
Operation managers can consolidate maintenance needs and ensure safety standards are met with historical audits and location data.
Managers can monitor usage of equipment to gain insight into quality and utilization, and predict future maintenance using historical data patterns and machine learning.
Administrators can view comparative analytics to monitor safety compliance and rule adherence across departments. View individual employee performance metrics to address repeat violations.
When valuable equipment is stolen, administrators are notified right away and can contact law enforcement to quickly recover their assets.
Employees have access to the real time location and status of all equipment, freeing up the time and resources previously spent searching for and manually checking equipment.
Administrators have more transparency into personnel interactions and incidents with large equipment, providing them with audit capabilities and visibility into rule adherence.
We have the knowledge and expertise to make your IoT project become a reality. Learn more about some of the tools we’ve built to get it up and running quickly.
The Leverege IoT Stack is purpose-built to be open and flexible, meaning that we can easily and quickly customize to your specific use case and unique business needs.
Do you know the current status of all your important remote assets? It can be highly tedious and even dangerous to manually check the status of unattended assets. If you don't periodically check the status of your assets, you risk unexpected downtime, suboptimal utilization, and safety violations. This ultimately results in lost revenue, high maintenance costs, theft, and penalties if you fail to comply with regulations.
Leverege's remote monitoring application provides the real-time status of all your remote assets. No longer will you or your employees need to manually check assets, which means reduced costs, increased efficiency, and improved safety. Configure and set alerts so that you're notified during key events, such as an asset moving from where it's supposed to be or a temperature reading exceeding a threshold. Capture historical data for auditing and compliance, and apply machine learning to your data to generate predictive insights.
Organizations with complex operations and workflows can suffer from duplicated work, internal confusion, and high process overhead. Teams often need to transfer materials to each other to complete tasks, but information can get incorrectly relayed or lost, processing can get delayed, and bottlenecks can throttle throughput. As processes get more complicated, teams may create shadow systems as workarounds to a cumbersome workflow, further siloing an organization and fragmenting sources of truth.
Leverege’s workflow automation application unlocks powerful insights about organizational workflows and enables workflows to be digitized and even automated. With features including real-time asset tracking at meter-level accuracy, historical data aggregations, events and alerts, analytics dashboards, and inventory reporting, organizations can quickly identify workflow efficiencies and build new digital-first workflows to streamline operations and capture key data in one place.
Service-based organizations strive to deliver services faster and at lower cost, without comprising customer experience. However, processes like timekeeping or log entries are manual, error prone, unstandardized, and not real-time, making it hard to trust data quality and to accurately predict service times. These operational inefficiencies and unpredictable service times increase overhead costs and decrease customer satisfaction.
Leverege's machine learning-based service tracking application improves the customer experience and drives operational efficiency for a wide range of industries. Through integration with existing workflows and real-time detection of assets moving through process states, the application calculates expected service times and generates notifications at critical checkpoints. Historical data visualizations of session times and equipment usage empowers you to track promise time targets, make better resourcing decisions, and optimize throughput.