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JG Pest Control
End-to-End Digital Transformation for Field Operations & Infrastructure
Service efficiency
baseline
→
+70%
Missed appointments
baseline
→
−70%
Inquiry resolution
baseline
→
−60%
Billing errors
baseline
→
−50%
JG Pest Control is a family-run pest control business serving homeowners and businesses across the UK.
What changed
Before
Field
Phone + paper
manual scheduling
Office
Manual billing
Ad-hoc inquiries
Infrastructure
Unmanaged
After
Field
Technician app
live job status
Route optimisation
Office
Internal app
scheduling · billing
Platform
Azure
Terraform
Kubernetes
Helm · GitHub Actions
Operations
Prometheus
Grafana
Paper-and-phone field operations replaced by mobile apps on a containerised platform, with scheduling, billing and monitoring in one system.
What we built
The client needed to modernize both field and office operations while ensuring scalable, reliable infrastructure. Existing processes were manual, leading to inefficiencies in scheduling, customer handling, billing, and infrastructure management. Additionally, marketing campaigns lacked proper optimization, and IT operations struggled with scalability, monitoring, and deployment consistency.
Key Features
Developed mobile apps for field technicians to manage schedules, access job details, and update job statuses in real-time.
Built an internal office app for staff to handle customer inquiries, schedule appointments, and manage billing and invoicing.
Implemented a route optimization app to minimize travel time and maximize technician productivity.
Integrated a Google Ads management application to optimize ad spend and boost campaign performance.
Designed and deployed scalable infrastructure on Azure using Terraform.
Set up a CI/CD pipeline with GitHub Actions and Helm for automated deployments.
Dockerized applications to ensure consistency across dev, staging, and production.
Deployed Kubernetes for auto-scaling and efficient resource management.
Deployed Prometheus and Grafana for real-time monitoring and visualization.
Results
Improved service efficiency by 70% through real-time job updates and reduced communication delays.
Reduced missed appointments by 70% with automatic schedule sync and notifications.
Shortened customer inquiry resolution time by 60%.
Streamlined billing and invoicing, reducing manual errors by 50%.
Achieved 99.9% uptime with scalable resources to support peak workloads.
Optimized campaigns, resulting in a 25% reduction in ad spend waste and 40% higher lead conversion.
Standardized deployments, cutting provisioning time from days to minutes.
Route optimization reduced field technician travel time, lowering fuel consumption and contributing to operational cost savings.
Gained real-time visibility into system performance, enabling proactive issue resolution and reducing downtime by 60%.
Stack
Engagement: Ongoing · Product Engineering, Platform & Cloud Engineering