Field Collaboration

Field Collaboration
Field Collaboration
Developer: OverIT - Field
Category: Productivity
249 installs
Ratings not yet available
29 monthly active users
Revenue not available
Install Trends
Weekly +18
Trending
Monthly +21
Trending

Field Collaboration Summary

Field Collaboration is a mobile Android app in Productivity by OverIT - Field Service Management. Released in May 2023 (2 years ago). It has about 249+ installs Based on AppGoblin estimates, it reaches roughly 29 monthly active users . Store metadata: updated Jan 29, 2025.

Recent activity: 18 installs this week (21 over 4 weeks) showing exceptional growth View trends →

Store info: Last updated on Google Play on Jan 29, 2025 .


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Screenshots

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App Description

AR & AI Software enabling collaboration among frontline workers

Overview
OverIT offers advanced field collaboration features to assist, guide, and train physically separate workers, leveraging AR features and annotations, content sharing capabilities, and digital work instructions. Available even with “Hands-Free – RealWear device based”.

Functionality
Augmented collaboration: quick access to the technical support needed by the industrial workforce and advanced remote collaboration capabilities between technicians and remote experts.
- Whiteboard for content sharing
- Capture evidence (photo and video)
- Low bandwidth mode for collaboration in areas of poor network coverage
- Taking control of client peripherals from remote
- AR annotations kit
- Notifications between users (messaging)
- Call request notification through email for offline users
- Chat for text messages in the call session
- Screen sharing from device

Digital work instructions: Step-by-step digital work instructions to guide technicians in task execution, directly in the field by accessing knowledge repository content and connecting to IoT Hub.
- Work instructions setup including layers of text description, photographic or video reference imagery (no coding skills required)
- Import of work instructions from Excel, automation of work instructions through conditionals
- Asset recognition
- Information on asset
- Objects as virtual models
- Virtual whiteboard

Knowledge Management: ML-driven knowledge management to capture, enhance, redistribute expertise, and drive continuous improvement, aiding the sharing of learned expertise.
- ML-driven data extraction
- ML-driven video indexing
- Content linked to assets
- AWC – Automatic Workflow Creator
- Knowledge repository access

Benefits
- Engage subject matter experts with relevant expertise in a specialized job, task, or skill
- Enable organizational learning and knowledge transfer
- Empower frontline workforce with advanced field collaboration capabilities
- Limit travel, enable multi-site team collaboration connecting resources in a short time
- Drive productivity, safety, and quality improvements