Perishable assets, such as vaccines or food, can incur damage, become spoiled, or otherwise rendered unusable when environmental conditions spike. This can happen at any point in the supply chain - whether it be at the manufacturer, in transit, or at a customer storage location. Spoilage of assets can be costly and dangerous to all parties involved. The Intelligent Cold Chain Monitoring solution is built specifically to save on asset costs and ensure adherence to product quality standards.
Precisely track the location, monitor the temperature and humidity levels, and receive alerts on temperature-sensitive assets as they travel through the supply chain.
Inventory managers can configure alerts to send emails & SMS messages if the assets leave a designated area or if the environmental conditions spike outside of set thresholds.
Cold chain monitoring can increase an organization’s bottom line by upholding high product quality and minimizing supply chain issues.
Manual processes can be automated, like documenting temperature excursion or notifying shipment coordinators, reducing overhead and improving operations.
Comprehensive views into the location and status of goods at every stage in the supply chain means clarity and accountability across the entire process.
Real-time alerts and notifications means the right personnel can respond quickly and resolve environmental concerns before they become major issues.
Automated data collection, alerts, and workflows drives higher product quality, less product waste, and reduced resource spend.
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.