Mobile Workforce Engagement

For global industries

Artificial Intelligence and Machine Learning is digitally transforming business operations. Using these technologies, utilities can significantly improve workers efficiency by automating field operations, improve worker productivity and create a seamless worker journey.

Boost productivity. Increase revenue.

Whether it’s from the web or your smartphone, it’s never been so easy to track time. With a simple, intuitive interface, getting you and your team on board is fast and easy.

  • Scheduling & Dispatching

    Improve workforce utilization by managing schedules, routes, and time.

  • Asset Management

    Get a 360° view of your assets in one place.

  • Outage Management

    Minimize outage disruption by enabling faster detection and quick restoration.

  • Damage Assessment

    Assess damage clearly, reduce cost and increase worker safety.

  • Meter Reading Services

    Optimize the planning & management of meter reading for timely and accurate data collection.

  • Analytics & Reports

    AI and ML based analytical reports and dashboards to measure efficiency.

  • Training & Learning

    Access to training documents in online and offline mode.

  • Chat & Collaboration

    Connect with experts and resolve a problem efficiently.

Why mForce?

Creating best-fit schedules, tracking time, administering work orders and measuring the productivity of field crew is vital for establishing an efficient workforce operation. mForce has been purpose-built by leveraging state-of-the-art technology to automate workforce operations to help drive business outcomes by optimizing workforce productivity, reducing overhead costs, significantly minimizing risks and improving adherence to compliance.

End-to-end workforce journey

Deliver a smarter, connected and automated journey for your field employees.

Innovative and configurable platform

Proven configurable solution that meets all your current and future needs.

Interested in making your workforce mobile and smarter