Vehicle reconditioning, maintenance, and other service providers often lack insight and automation when it comes to tracking their work orders. This leads to missed steps, unpredictable wait times, and unhappy customers. The Vehicle Service Tracking solution is built to provide a clear, automated view into a vehicle's service lifecycle while increasing efficiency, improving quality, and generating accurate and consistent wait times.
Managers can monitor the progress of active work orders and identify key areas for operational improvements.
Track and manage vehicle reconditioning, maintenance, and other services in real time by creating geofences to associate time spans to specific work areas.
Administrators can analyze historical service data to identify bottlenecks in their processes to improve efficiency.
By capturing service tracking data, service providers can surface accurate wait times and vehicle progression through the service process.
Historical data can be used to analyze various factors that impact service time such as employees availability, vehicle make/model, and more to predict more accurate wait times.
Customers can sign up to track the progress of the service and get an alert when their vehicle is ready to be picked up.
Viewing real-time status of work orders with automated status updates directly from a phone or computer means less time spent manually overseeing operations and more time to focus on growing the business.
An automated and centralized tracking solution helps service providers address key bottlenecks that are slowing down their services.
Accurate wait times and status updates drive higher customer satisfaction, leading to larger market share, increased loyalty, and greater revenue.
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.