Dealership inventory management is complex and frustrating. With vehicles in outdoor and indoor lots across multiple properties, it can take employees hours to locate the vehicle they need. With our Asset Tracking solution, dealers can easily understand where all their vehicles are at any given time, quickly locate them for test drives, and reconcile their inventory.
Improve operational efficiency, streamline workflows, and enhance customer experience by providing real-time location on all vehicles.
Dealers can set up entry and exit alerts for any zone or location. SMS and email notifications are sent the moment an event is detected, enabling dealers to protect, track down, and recover their inventory.
Dealers can manage their vehicle sales, view historical analyses, and see the success rates of their sales teams.
Dealers can view sales trends and forecasts based on past performance, providing them with key insights to make inventory and management decisions.
When a dealer’s vehicle is stolen, they are notified right away and can contact law enforcement to quickly retrieve their vehicle.
Save countless hours of personnel trying to locate vehicles among an inventory distributed across showrooms, parking garages, and satellite lots.
Dealers get total transparency into the status of their inventory and can easily plan ahead for stocking their next month.
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.