Founded in 2014, FairwayiQ dedicates itself to improving golf course management by applying science and technology to manage everything that moves on a golf course. FAIRWAYiQ offers two sensor solutions for golf course management. The first is a vehicle tag sensor that is fixed to each golf cart or other course equipment (such as a fairway mower) to track the pace of play, prevent theft, and improve efficiencies. The second solution is a handheld tag sensor and complementary automated ASB taskTracker, monitoring staff activity to improve performance and allow targeted maintenance during lulls in play.
For the golf professional, FAIRWAYiQ monitors carts, caddies and players, optimizes course flow and reduces the cost of the operation by alerting the operations team of player pace problems before traffic backups occur.
For maintenance superintendents, FAIRWAYiQ monitors all equipment location, usage and performance to reduce equipment downtime. The superintendent is able to identify and track tasks automatically through task benchmarking and proactive work scheduling. Ultimately, the superintendent will understand where dollars are going and how to maximize the budget.
In addition to golf courses, FAIRWAYiQ is addressing related problems in adjacent industries like sports stadiums, municipalities, universities, landscaping, resorts and others reliant upon small, motorized equipment and labor productivity.
The MachineQ enterprise-grade, LoRa® IoT connectivity platform, implementation, monitoring and sensor hardware financing services has greatly supported FAIRWAYiQ’s rapid and cost-effective scaling of the business.
Specifications and Features
- Vehicle sensor connects to any vehicle and does not require charging
- Handheld tag sensor battery life ranges from 2–4 weeks
- Alerts and notifications are generated automatically and sent directly to players (optional) and staff members to address specific issues directly
- Web application with real-time insights to improve operations efficiency
- Course availability management and granular data on cart usage and performance
- Sensor placement across wide areas for optimal cost-efficiency
