MIMS Cloud 4+

Workforce management tool

Arrow Secure

Designed for iPhone

    • Free

iPhone Screenshots

Description

Arrow Labs MIMS is a complete workforce management tool that empowers
organizations to conduct daily business activities on a single unified platform to
realize great productivity & efficiency improvements.

MIMS is a modular mobility solution extending applications and services to
mobile users. By combining various modules, organizations can achieve an
exhaustive toolset, empowering their dispersed workforce on the go.

Benefits:

- Collaboration on tasks & incidents
- Eliminating paper records & manual entries
- Real time access to business operations progress
- Share information immediately with employees any time anywhere.
- One mobile app supporting various organizational roles

MIMS mobile solves a real set of business problems for any person in the field by
allowing

- Viewing, completing and monitoring daily tasks & field jobs
- Reporting from the field with pictures & video support
- Accessing vital tools for inventory, duty rosters & post orders
- Real time communication with field employees
- Alerting employees to any situation or incident
- Sharing business information on the go

Requires an active Wi-Fi or cellular
data connection. MIMS mobile is a real time application.

Arrow Labs is a next generation software manufacturer that develops robust
systems in the mobility arena. For more information visit us on the web to learn
more about MIMS.

What’s New

Version 4.19.6

* Material management : if the user has the MIMS Cost module they can consume available material under each task that requires "Include Material" and the consumed material will be reflected in the task cost after completion.

App Privacy

The developer, Arrow Secure, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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