Nextqore’s Asset Management uses existing sensors inside assets to collect and track real time performance. It additionally allows adding external sensors to improve location and installation specific performance data to help manage the asset for better performance and higher uptime.

Integrating the real time machine data with enterprise reference data and public API provides a rich operational context.

Using derivative data, time series aggregation allows better preventive and predictive maintenance using Machine Learning techniques.

• Online asset health monitoring
• Centralized monitoring
• Improved equipment reliability
• Predictive Analytics for fault management
• Uses in built sensors with a flexible sensor model
• Add external sensors to further enhance performance

Nextqore offers you a reliable fuel monitoring solution and top-notch technical support. 

A. Monitor Fuel Wastage
Fuel wastage due to idling, harsh acceleration, or reckless driving behaviour can easily be detected. Reports and insights provide detailed information on fuel consumption, mileage, and refill activities.

B. Reduce Operations Cost
Improved fuel economy leads to a reduction in overall fleet costs. Our clients have reported more than a 20% reduction in fuel costs ever since they upgraded to Nextqore’s fuel management system.

• Real time fuel level monitoring, location tracking
• Monitor Fueling and Defueling events

Experience the smarter way to manage your fleet with Nextqore’s cloud-based solution powered by AI and IoT. Beyond the basic tracking facilities, analyze every aspect of your fleet – route planning, fuel analytics and driving patterns – to improve productivity and savings.

Get key vehicle diagnostics, contextualised by user type (Fleet owner, vehicle operator) which empowers fleet managers to predict vehicle health and driving habits – based on a vehicle’s utilization and how it’s being driven.

Our Geofencing feature enables remote monitoring of geographic areas surrounded by virtual fence (geofence), and automatic detection when tracked mobile object enter or exit these areas.

Field operations continued to be executed by trained workforce who have the ability to complete work onsite conditions.

Ability to plan service levels requires accurate ability to track travel time to work at site determined using machine data to establish benchmarks. It also forms a basis for setting, managing and improving service levels. Enforceability of focus is better with workforce location tracking.

Implanted as a companion using Workforce Mobile phone as an app (IOS & Android).

Supports geo fencing framework to determine entry, work and exit from site condition to measure duration at site 

Nextqore offers a robust data platform that can be uses with pre integrated solutions listed above. The platform is flexible, built on a robust data stack to help you on newer Things you want to manage – using a flexible sensor model – Reach us here to know more..