Leverage actionable data to haul more efficiently
Optimizing production yield and equipment capacity
GSatTrack for Users
Yield chain management and transport or delivery dominate the focus of the data ecosystems within the Forestry industry. Because of the remote harvesting locations and their lack of traditional communications infrastructure, access to near-real-time monitoring, management, and maximization of data ecosytems will augment the remote supply chain management capabilities of these operations, leading to more efficient use of resources, better logistical decision-making, and better use of heavy machinery.
GSatTrack for Resellers
Because of your expertise in dealing with your Forestry sector clients, your research has led you to GSatTrack in search of the ideal telematics visualization platform to serve them. You are aware of their specific needs related to data ecosystems constructed to track Yield chain management and transport or delivery. GSE has worked directly with its partners in the industry to develop a telematics visualization product that addresses these key pain points directly, defining a clear ROI and value proposition based on real demand.
GSatTrack can help to organize the entire heavy equipment and delivery vehicle ecosystem within a forestry operation to ensure optimum usage vs. capacity
Run usage vs. capacity reports on heavy equipment like chippers and delivery trucks, reducing idle times and optimizing fuel or resource usage
Prioritize the usage of certain equipment in order to streamline production processes and reduce costs associated with idle times of machinery
- Private road utilization
- Load weight
- Rain & soil sensors
- Chipper diagnostics
- Device event codes
- + More
- Analyze fuel consumption
- Calculate loads
- Expected growth rates
- Maintenance schedules
- Load rerouting
- + More
- Optimize chipper utilization
- Prioritize operational expenditure
- Reduce downtime of machinery
- Boost production and reduce costs
- Regulation adherence
- + More
GSatTrack for Tracking
Know the capacity of chippers vs. the load they're expected to process and reroute deliveries to those machines with the greatest ability to take on more work
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