Normalized claim
Route build time: 50% decrease
"The integration has cut the time it takes to build routes by 50%."
Proforce Pest Control — Gemini + BigQuery/Routes Optimization for dispatch and contact center productivity
Use case typeOperations optimizationUpdated 4 days ago
Proforce Pest Control is a residential pest control company operating across 13 branches in five Southeastern and Mid-Atlantic states. The company had little technology infrastructure and needed to optimize technician routing, reduce fuel use and route build time, and cut contact-center labor for more than 1,000 calls per day. Proforce built custom Python pipelines in Cloud Run to feed BigQuery and Looker, connected FieldRoutes to the Routes Optimization API, and used Gemini in Google Workspace for transcription and summarization.
- Organization
- Proforce Pest Control
- Industry
- Consumer & Food
- Location
- United States
- Published
- July 2026
Reported outcomes
−50%
route build timeTime & speed
−22%fuel consumed per completed appointment50 hourscontact center labor saved daily10-11%completed stops per day per technician+100%revenue
Strategic outcomes
Cost efficiencyReduced route waste and unpaid workCustomer experience & trustFewer disappointed customer callsEmployee experienceLess manual note-taking for agentsNew business modelExpanded revenue capacity
Catalog median for time & speed deployments: −50% across 312 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Fuel consumed per completed appointment: 22% decrease
"Between Q3 and Q4 2025, Proforce recorded a 22% reduction in fuel consumed per completed appointment."
Normalized claim
Contact center labor saved daily: 50 hours increase
"saving roughly 50 hours of agent time every day."
Normalized claim
Completed stops per day per technician: 10-11% increase
"Technicians averaging 10 to 11 completed stops per day now reach 13 or 14."
Normalized claim
Revenue: 100% increase
"Proforce also doubled its revenue to $30 million in a year"
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Proforce Pest Control
- Provider
- GCP
- Maturity
- Production
- Linked source
- Google Cloud Customer Stories
Deployed Gemini in Google Workspace for AI transcription and summarization
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Operations optimization
- 2Workflow automation
- 3Contact center modernization
- Lack of technology infrastructure.
- Optimize technician routing and reduce fuel consumption.
- Cut contact-center note-taking labor for more than 1,000 calls per day.
- Built custom Python pipelines on Cloud Run to load customer data into BigQuery.
- Used Looker dashboards on live data.
- Integrated FieldRoutes with Routes Optimization API for optimized routes with human preview and approval.
- Deployed Gemini in Google Workspace for AI transcription and summarization.
- Cut route build time by 50%.
- Reduced fuel per completed appointment by 22%.
- Saved roughly 50 hours of agent time every day.
- Increased completed stops from 10-11 to 13-14 per day.
- Doubled revenue to $30 million in a year.
Architecture
Proforce built custom Python pipelines on Cloud Run to push customer and service data into BigQuery, used Looker for live dashboards, connected FieldRoutes with the Routes Optimization API to generate routes from real-time traffic, road layout, and service-time data, and deployed Gemini in Google Workspace for contact-center transcription and summarization with human-in-the-loop dispatcher approval for routing.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jul 24, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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