Improved win rate by 30% with AI automated takeoffs
Find out how Virginia-based landscaping company saved 93% of its time doing takeoffs with Beam AI
About the Company
It is a Virginia-based premier landscaping maintenance company for both residential and commercial clients. The company, with annual revenue close to $5 million, was established in 2017. They offer lawn mowing and maintenance services, full-service landscape design, general home services, junk removal, leaf removal, pressure washing, and more.
Key wins
93% time saved on takeoffs, with 30% higher win rate
70% faster bid turnaround, enabling Andy’s team to be the first to quote.
40% more bids sent out, freeing-up time for business development.
20% more accurate bids with precise automated takeoffs.
Challenges
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Manual takeoffs on Google Earth consumed 15+ hours weekly, often requiring field visits and taking time away from customers.
Counting and measuring shrubs, trees, and lawn areas individually was time-consuming and prone to error.
Inaccuracies from Google Earth and measuring wheels led to unoptimized bids.
Competitive market conditions meant even a 1–2% bid inaccuracy could cause financial losses.
Business impact
Freed up time for customer-facing and revenue tasks.
Faster, accurate takeoffs boosted bid competitiveness and profits.
Higher bid volume and win rate strengthened bid pipeline and business growth.
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