Agri-Trak is a software-as-a-service (SaaS) platform that helps farms digitize, track, and analyze their labor and production. The Pultneyville, New York-based startup is helping farms replace pen and paper with easy-to-use digital tools.
Agri-Trak’s platform features a trio of applications:
- Web dashboard for farm analytics and reporting: The web dashboard gives farm owners and managers a quick-glance overview of their farm’s operations, including labor and production data.
- Tablet app to track and mobilize worker crews: The tablet app allows field supervisors to track workers’ locations and tasks, and to clock them in and out of different jobs. The app also uses NFC technology, nicknamed Agri-Tap, for workers to clock in and out.
- Mobile web-based app for workers to clock in and out: The mobile web-based app makes it easy for workers to clock in and out of their shifts, and to view their timesheets.
Agri-Trak’s platform is helping farms in a number of ways, including:
- Improving efficiency: Agri-Trak automates many of the manual tasks associated with labor and production tracking, such as timekeeping and payroll generation. This frees up farm managers and supervisors to focus on other tasks.
- Making data-driven decisions: Agri-Trak’s analytics and reporting tools give farm managers the insights they need to make informed decisions about their operations. For example, they can use this data to identify which crops are most profitable, or to optimize their labor allocation.
- Improving compliance: Agri-Trak helps farms comply with a variety of regulations, such as H-2A requirements.
Agri-Trak is currently being used by over 20 farms, and the company is growing rapidly. The company’s mission is to help farms of all sizes become more efficient and profitable.
The introduction of Agri-Trak could have significant implications for the farming industry. The platform could help farmers optimize their operations and increase their yields, leading to increased profits and more sustainable farming practices. Additionally, the use of AI and machine learning could help farmers make more informed decisions about their crops and labor, leading to more efficient and effective farming practices.