Mobile Workforce Management

Solution Group

Industry

Utilities
Energy and Utilities

PoC Duration

Iotellect Match

7-15 days
AI powered Low Code IoT/IIoT Platform

Empower field service personnel with a comprehensive solution that streamlines operations, enhances productivity, and drives business growth. Leverage real-time data, intelligent scheduling, advanced route planning, and seamless communication to optimize field support, asset management, and resource allocation. Unlock the full potential of your mobile teams and deliver exceptional customer experiences, all while reducing costs and increasing efficiency.

Iotellect is a low code IoT/IIoT development platform. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Mobile Workforce Management Infrastructure

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GPS/GNSS trackers
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Barcode scanners and readers
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Cameras and computer vision systems
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Worker wearables
(smartwatches, health trackers, smart helmets, etc.)
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Sensors
for vehicle diagnostics (fuel level, engine performance, etc.)
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RFID/NFC readers and tags
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Smart tools
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Smartphones and tablets
  • GNSS tracker connectivity through the flexible driver module, allowing any tracker model to be integrated via rule-based command parsing
  • Wearable devices can be connected and managed through Iotellect's structured data exchange standards, allowing for real-time health and activity monitoring of workforce members
  • Environmental sensors like temperature and humidity can be seamlessly connected using various LPWA networks supported by Iotellect Edge for remote location data acquisition
  • Use GPS trackers to implement geofencing capabilities, enabling alerts when mobile workforce members enter or exit predefined zones
  • Employ RFID readers to manage and track equipment used by field teams in real time, ensuring efficient asset utilization
  • Utilize connectivity gateways to establish communication channels in remote job sites, ensuring uninterrupted data flow for operational continuity
  • Enable centralized device management allowing administrators to effortlessly configure and monitor all IoT devices remotely through a unified interface

Connectivity and Management

  • Employ the powerful statistical process control module to analyze time-series data from vehicle diagnostics sensors for insights into fleet health and performance metrics
  • Leverage the unified data model to create digital twins of field service assets, facilitating predictive maintenance based on real-time data analytics
  • Utilize the advanced alerting features of Iotellect Edge for instant notifications when wearable device metrics indicate deviations from normal activity levels
  • Use machine learning algorithms on engine performance data collected via sensors to predict maintenance needs and reduce unplanned downtime
  • Analyze barcode scanner usage patterns to identify inefficiencies in inventory management and optimize resource allocation strategies
  • Implement scorecards that evaluate driver performance by analyzing telemetry data from GPS trackers, driving operations improvement across fleets
  • Use environmental sensor data to analyze field conditions over time, identifying trends and implementing preventative measures for service disruption
  • Conduct deep dive analysis into operation routes using aggregated position data from GPS devices

Integration

  • Employ the powerful statistical process control module to analyze time-series data from vehicle diagnostics sensors for insights into fleet health and performance metrics
  • Leverage the unified data model to create digital twins of field service assets, facilitating predictive maintenance based on real-time data analytics
  • Utilize the advanced alerting features of Iotellect Edge for instant notifications when wearable device metrics indicate deviations from normal activity levels
  • Use machine learning algorithms on engine performance data collected via sensors to predict maintenance needs and reduce unplanned downtime
  • Analyze barcode scanner usage patterns to identify inefficiencies in inventory management and optimize resource allocation strategies
  • Implement scorecards that evaluate driver performance by analyzing telemetry data from GPS trackers, driving operations improvement across fleets
  • Use environmental sensor data to analyze field conditions over time, identifying trends and implementing preventative measures for service disruption
  • Conduct deep dive analysis into operation routes using aggregated position data from GPS devices

Analytics

  • Design interactive dashboards where environmental sensor trends can be monitored in real-time, presented as charts or heatmaps customizable to user roles
  • Deploy a web interface leveraging Web UI components to facilitate dynamic visualization of fleet movements tracked via GPS in an easy-to-use map format
  • The GUI builder can be used to create customized operator interfaces that streamline reporting processes
  • Provide interactive UIs that present a holistic overview of operational safety metrics collated from cameras deployed at point locations where on-site risk assessment is critical
  • Implement vector map visualizations showing temperature variations detected by environmental sensors alongside worksite geographical layouts for better planning transparency
  • Leverage the low-code expression language within the UI builder for creating personalized alerts correlating multi-device event scenarios like shock thresholds exceeded from telematics logs

UI/UX

Key Features
of Your Mobile Workforce Management Solution

Customers and Partners

  • System Integrators
  • Independent Software Vendors
  • Utility Companies
  • Field Service Providers
  • Facility Management Firms

Solution Users and Developers

  • Dedicated low code developers
  • IoT/IIoT hardware developers
  • Field service managers
  • Operations supervisors
  • Workforce planning specialists
Customer success team
Community
Online training

Assistance