GreenCollar manages over 445,000 acres of native forests across Australia, with a strong focus on environmental protection and sustainability. The challenge? Efficiently collecting, monitoring, and auditing field data to prevent deforestation. Fulcrum provided the solution with a real-time data collection and navigation platform, transforming how GreenCollar operates.
Before Fulcrum, GreenCollar faced delays between field data collection and analysis, slowing critical decisions needed for environmental protection. Field teams had to manage tedious data entry tasks and handle the data to make it usable for analysis. This outdated process was slowing down their ability to respond quickly to changes in the field.
Fulcrum’s real-time data syncing changed everything. Now, when GreenCollar’s field teams collect data—whether it’s biomass measurements, flora and fauna surveys, or infrastructure monitoring—it is instantly available for analysis. This allows GreenCollar to make data-driven decisions in real time, eliminating the lag that previously held it back.
Fulcrum’s customizable platform enables GreenCollar to create apps specific to their various projects. This flexibility is crucial in environmental protection work, where needs can change from project to project. Whether conducting a biodiversity assessment or verifying road conditions, Fulcrum adapts to its requirements, allowing GreenCollar to streamline workflows and focus on protecting the environment.
The ability to manage projects in real time has not only improved efficiency but also enhanced GreenCollar’s capacity to report on project performance, further solidifying its role as a leader in environmental protection.
Download the full case study to learn how Fulcrum empowers GreenCollar with real-time data collection and project management.
“We can have field teams on the phone talking to us whilst the data they are discussing is popping up on our screen back at base. This allows us to operate dynamically with field staff as opposed to the old way of getting data in, analyzing it then informing them days later on what is required.”