With up to thousands of vehicles produced daily, managing assets at an automotive manufacturing plant is complex, tedious, and time consuming. The Automotive Manufacturing Tracking solution is built to provide organizations with comprehensive views to easily know the location and status of all their vehicles and drive operational excellence throughout the manufacturing process.
Understand location and status of all vehicles at the entire facility with configurable views optimized for both desktop and mobile.
Hone in on what’s important using the powerful Quick Filter and Rapid Search capabilities. Specify the desired conditions and search criteria, and receive walking directions to the exact vehicle you need.
With historical vehicle data, users can now analyze and track plant performance in ways that were previously unknowable and introduce measurable improvements into their operations.
Identify operational trends in key indicators like defects rates and days on hand using the built-in suite of charts, graphs, and reports.
Real-time indoor and outdoor location tracking enables users to see where their vehicles are from the moment they leave the assembly line to delivery at their final destination.
Eliminate the countless hours and resources spent searching for specific vehicles by enabling personnel to locate them quickly and correctly the first time.
Make operational improvements, plan future resourcing needs, and meet forecasted demand based on knowledge generated from historical data.
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.