Skip to main content
TruGreen

CUSTOMER
STORY

Cultivating the perfect lawn for 2.3 million customers

Cultivating the perfect lawn for 2.3 million customers

50% lower

Data warehousing costs after migrating to Databricks SQL

200+

Branch and regional managers start each day with AI-driven insights from TruSight

99% faster

ERP impact analysis with automated data lineage in Unity Catalog (weeks → minutes)

TruGreen, America’s #1 lawn care company and the PGA TOUR’s official lawn care treatment provider, exists to give 2.3 million customers their weekends back: time outside with family, not on the lawn. Delivering on that promise across 270 branches and 15,000 associates demands flawless daily field operations. With Databricks, TruGreen unified its data architecture and launched TruSight, an AI-powered reporting solution that provides branch managers with daily insights before crews roll out at 7 AM.

Breaking free from data silos and legacy limitations

As TruGreen scaled to serve millions of customers across hundreds of branches, the operational rhythm of its business outgrew the data infrastructure underneath it. Branch managers needed fresh information to dispatch crews each morning. Yet the legacy stack wasn’t built to deliver at the speed the business required. The company relied on a legacy cloud data warehouse, but it struggled to scale resources dynamically, costs were rising, and even routine ERP changes required weeks of manual investigation to understand downstream impacts.

Shane Irons, Sr. Director of Information Management at TruGreen, experienced firsthand the friction caused by rigid, “black box” vendor solutions. “Our business was scaling faster than the legacy architecture could keep up with. Branch managers wanted reports earlier in the day, and our existing systems couldn’t dynamically scale to meet that demand,” Irons explained. TruGreen needed an open environment that could integrate with the tools they already used, without locking the team into proprietary languages or punishing annual support fees.

Scaling daily operations on Databricks

TruGreen migrated to the Databricks Platform, with Databricks SQL on Azure powering its data warehouse and Unity Catalog providing unified governance across the data estate. The team layered in Lakeflow Spark Declarative Pipelines to stream data from Dynamics 365, Qlik Replicate for legacy ERP integration, and Power BI on top: a unified architecture that could finally keep up with the daily operational rhythm. Critically, serverless compute handled the high-volume processing required for morning reports, so branch managers across the country had what they needed during the critical 6:00 to 7:00 AM window before crews left the lot.

When TruGreen set out to build TruSight, the team evaluated Databricks against ChatGPT, multiple Microsoft Copilot variants, and a custom third-party vendor solution. “Databricks had the best accuracy and cost. This was driven by the amount of control the tool provides developers: control over the context, the LLM of choice, and no additional limitations that exist with other offerings,” said Irons. TruGreen ultimately deployed Claude Sonnet 4.5 served via Databricks Model Serving (External Models), using MLflow’s LLM judges to evaluate AI output quality before it reached branch managers.

Faster decisions, lower costs, smarter field operations

The new architecture delivered immediate operational wins. Databricks SQL ran TruGreen’s warehousing at roughly half the cost of its legacy cloud data warehouse, with dynamic scaling that consumed resources only when reports were running. Automated data lineage in Unity Catalog transformed how IT handled ERP and system changes. Research that previously took weeks of manual investigation now takes minutes.

After full C-suite approval of the POC, TruSight rolled out to TruGreen’s entire leadership organization. Reports cascade by tier: the C-suite sees company and regional views, regional managers see branch performance, and branch managers receive employee-level insights tailored to their daily field operations. Alongside TruSight, Churn and lifetime value (LTV) machine learning models are already in production, with more AI offerings on the roadmap. “We’ve seen real cost and time savings, and faster insights into the root cause of key problems,” Irons said. With TruSight live and more AI on the way, TruGreen’s leaders are now equipped to spend less time chasing data and more time delivering on the promise that brought 2.3 million customers to TruGreen in the first place: more time outside, less time on the lawn.

FAQ