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Sonar Software adds geofence filtering for ISPs to manage accounts, tickets and jobs by service area
Broadband operators can now filter accounts, tickets and jobs by geofence in Sonar, scope each brand to its own footprint and import boundaries from KML, KMZ and GeoJSON files.
November 10, 2026 · 2 MIN · UPD NOV 10, 2026
Frisco, Texas, November 10, 2026. Sonar Software, the BSS/ platform for internet service providers (ISPs), today released geofence filtering across its platform. Starting today, broadband operators can filter accounts, tickets and jobs by geofence in Sonar. Dispatchers can also filter the job queue and technician list by service area, and operators can limit each company in their instance to its own footprint.
What is geofence filtering in Sonar?
A geofence in Sonar is a mapped boundary, such as a county, a build area or a service territory. Until now, Sonar used geofences mainly to set where technicians are available to work and which addresses are eligible for a service. Geofence filtering lets operators use those same boundaries to find and organize work across the platform.
What's new
- Table filters. Geofence filtering works across tables in Sonar. Accounts, tickets and jobs are where most operators will feel the biggest impact.
- Dispatcher filters. Dispatchers can filter the job queue by geofence, and also see which techs have jobs assigned inside that geofence for the day.
- Company scoping. A company can be tied to specific geofences, so it only appears as an option on accounts whose address is inside its footprint.
- File import. Boundaries can be imported from KML, KMZ and GeoJSON files.
- Drawing and tagging. Every existing geofence stays in view while you draw a new one, so new boundaries line up with the ones already there.
- Reporting. Geofence filtering will also be available in reports, so you can limit them to specific service areas.
How does Sonar keep geofence filtering fast?
Performance shaped the design from the start. ISPs manage a lot of addresses, and the team wanted geofence filtering to stay fast no matter how large an instance grows. So Sonar does the heavy lifting in the background, ahead of time, and tables stay quick when someone filters them. New addresses are picked up automatically.
“Operators have been asking to organize their work by geography for a long time, and the reason is practical. A lot of our customers are growing into new territories or running more than one brand at once. They need the system to reflect how their business is actually laid out.”
Rick Seemann, VP of Product at Sonar Software
Who is geofence filtering for?
It's built for operations managers, dispatchers and support teams at Tier 2 and Tier 3 ISPs. It's most useful for operators expanding into new territories, running more than one brand, or bringing an acquired network into a single Sonar instance.
About Sonar Software
Sonar Software is the /OSS platform built for broadband internet service providers (ISPs) since 2015. Providers across the US and Canada run billing, CRM, field service, scheduling, inventory and network monitoring in one system, with support kept in-house in North America. Learn more at sonar.software.
Media contact
Jean Franklin, Director of Marketing & Customer Growth, jean.franklin@sonar.software
Questions, answered.
Are there size limits on geofences?
Yes. Very detailed boundaries can slow down performance, so uploads are limited to 10,000 points. Sonar also simplifies each geofence automatically, without changing its shape. Geofences with 5,000 points or fewer after simplification work with filtering.
Do existing geofences change?
No. Existing geofences keep working for technician scheduling and service eligibility exactly as they do today, and Sonar keeps the original uploaded version of each one. A geofence over 5,000 points after simplification won't appear in the new filters; edit it to reduce its points rather than deleting and recreating it, so it keeps its existing associations. Sonar lets you know when you save if it's still too large.
Which file formats can I import?
KML, KMZ and GeoJSON.
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