Interview with Sean Eddy, Account Executive at TOP Green by Turing
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Key Takeaways
Utilize technology like smart vests to gather objective data on crew and equipment performance, moving beyond subjective gut feelings about productivity.
Benchmark your teams and equipment performance to identify high-performing assets and areas for improvement, using data to set standard expectations for tasks.
Analyze 'dead walking' or transition times between service areas to optimize crew flow and reduce non-productive time on job sites, especially for large properties.
Use data to make informed decisions about equipment allocation; avoid over-purchasing or under-utilizing machinery by understanding actual usage on different properties.
Implement data-driven insights to challenge assumptions about job budgeting and crew staffing, potentially reducing hours needed on-site or increasing capacity without additional hires.
Explore the use of AI and data analytics to create KPI dashboards that quickly highlight areas needing attention (red, yellow, green light system), streamlining management focus.
Consider how detailed operational data can inform strategic decisions, such as growth projections, future capital expenditures (e.g., new mowers), and talent development needs.
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