About
This app allows field technicians to manage assigned work orders, update job details, and communicate with dispatch. It also provides GPS navigation to job sites and captures electronic signatures for record-keeping.
What's New in Agvance Ops
1.6.2
June 22, 2026
- Target Pest Values Retained - Job End Times can be earlier than Start Times if spanning multiple days. - Liquid Blend Jobs display Total Gallons/Mix - Only one Tender Driver per Vehicle now permitted - Minimum Operating System Updates
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FAQ
What is Agvance Ops used for?
Agvance Ops is used by field technicians to view, start, and complete assigned work orders. It facilitates communication with dispatch, updates job information, and captures electronic signatures.
Does Agvance Ops work offline?
The provided description does not specify offline functionality. It is designed to run in conjunction with Agvance Sky Dispatch, suggesting an online connection is likely required for full operation.
How does Agvance Ops help with navigation?
Agvance Ops can send GPS coordinates of job locations to your device, providing directions and turn-by-turn navigation to ensure you reach your destination efficiently.
Can I communicate with dispatch through Agvance Ops?
Yes, Agvance Ops allows users to communicate directly with Dispatch through messages and file sharing, keeping all relevant parties informed.
What kind of data can be recorded with Agvance Ops?
Users can update job information such as status, product totals, and field/weather conditions. It also enables recording key compliance data and capturing electronic signatures.
Is Agvance Ops available on Android devices?
Agvance Ops is available for iPhone, iPad, and iPod devices. The provided data does not mention support for Android.
How often is Agvance Ops updated?
The latest version, 1.6.1, was last updated on April 27, 2026. This indicates a relatively recent update, suggesting ongoing development and support.
What is the user rating for Agvance Ops?
Agvance Ops has a rating of 4.0 stars based on 4 ratings. This indicates generally positive user feedback from a small sample size.
