Tank Level Monitoring

Knowing the fill level of a tank or storage bin is critical to getting things done. Realizing that there’s not enough fuel to run equipment, discovering a bin of discard material at full capacity, or finding a leak or overflow means that production comes to a standstill, costing precious time and resources. Remote monitoring with the Leverege IoT Stack provides an automated, accurate, and safe way to monitor tank levels and keep operations running smoothly.

Never Again Let Tanks Run Too High or Too Low

Easily view tank levels to spot immediate problem areas and dispatch personnel to quickly address them.

Real-Time, Proactive Alerts

Stay responsive to fill demands by getting notified when fill levels drop below or above certain thresholds. Apply different alerts based on primary usage and seasonality.

Workforce Orchestration

Shorten communication loops and avoid delayed trips by sending alerts and assigning work orders to the right personnel when tanks reaches predefined levels.

Clear and Informed Resource Planning

Make better decisions and draw insights from historical tank level data.

Insights from Trends and Forecasting

Prevent missed fills and predict future demand by analyzing trends in usage, layering on correlated factors such as weather, fill substance or material, and day of the week.

Optimized Service Visits & Route Planning

Reduce unnecessary fills and save on service costs by only scheduling visits when tanks require them. When visits are scheduled, select the most cost-effective route.

Key Benefits

Automated & Accurate Tank Level Readings

Receiving tank level readings on an automated, recurring basis eliminates the need for manual checks that are inaccurate, delayed, and potentially unsafe.

Boosted Customer Satisfaction

Generating alerts to personnel when fill levels drop or exceed given thresholds means that customers will always have what they need in their tanks at the time they need it.

Reduced Costs

Using historical data to identify key trends in tank usage minimizes unnecessary or one-off service trips. Notifications from real-time data can prevent disastrous and expensive leaks and overflows.

Explore More Use Cases

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.

Use Case

Monitor the status of high-value assets for efficiency & compliance.

Problem

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.

Solution

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.

Use Case

Optimize operations and workflows with insightful, actionable data using the Leverege IoT Stack

Problem

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.

Solution

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.

Use Case

Enhance your service delivery and exceed customer expectations.

Problem

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.

Solution

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.

View All