Case Study: BlueStar Landscape increases estimate accuracy by 30% with Attentive.ai

A Attentive.ai Case Study

Preview of the BlueStar Landscape Case Study

How BlueStar Landscape Increased Their Estimate Accuracy By 30% with Attentive.ai

BlueStar Landscape, an Arizona-based HOA maintenance company, faced challenges with time-consuming and inaccurate manual property measurements for its bids. This process was a bottleneck for their sales and growth. To address this, they turned to the automated takeoff software from Attentive.ai.

By implementing Attentive.ai, BlueStar Landscape reduced the time spent on takeoffs by 75% and increased the accuracy of their estimates by 30%. This saved significant time for the team to focus on operations and sales, while the improved accuracy minimized costly bidding errors on their multi-million dollar contracts. The vendor's solution also provided high-resolution sitemaps that simplified project planning and execution.


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BlueStar Landscape

Phil Johnston

Director of Landscape Maintenance


Attentive.ai

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