Case Study: BlueStar Landscape achieves 30% more accurate estimates with Attentive.ai

BlueStar Landscape boosts estimate accuracy by 30% with Attentive.ai

Bluestar Landscape, an Arizona-based HOA maintenance company, faced a significant challenge with its manual and time-consuming site measurement process for creating bids. Using tools like Google Earth and manual wheels, the team spent dozens of hours per property, leading to unoptimized bids with room for error. To overcome this operational inefficiency, they turned to Attentive.ai for its automated takeoff solution.

By implementing Attentive.ai, Bluestar Landscape automated its measurement process, which drastically reduced the time required for takeoffs and increased accuracy. The results were substantial: the company saved 75% of its time on takeoffs and increased its estimate accuracy by 30%. This allowed the team to focus on operations and sales growth while minimizing costly bidding errors. The high-resolution sitemaps from Attentive.ai also simplified future planning and project execution.

BlueStar Landscape