How Great American Custom Insurance Optimized Production Efficiency
Achieving 35% increase in time tracking accuracy and 20% improvement in overall production output
Company
Great American Custom Insurance
Industry
Insurance
Focus
Production Operations
Platform
Azure DevOps
The Challenge
Great American Custom Insurance was facing significant challenges in tracking time across their multiple production lines. The complexity of their operations, combined with inadequate time tracking tools, was leading to inefficiencies that impacted their bottom line.
The production team struggled with several critical issues:
Multi-Line Production Complexity: With multiple production lines running simultaneously, tracking time accurately across different workflows and teams was nearly impossible with existing tools.
Resource Misallocation: Without accurate time data, workforce and materials were being allocated based on estimates rather than actual performance metrics, leading to inefficiencies.
Hidden Bottlenecks: Production delays were occurring, but the team couldn't identify exactly where time was being lost in the process, making it difficult to implement improvements.
Inaccurate Scheduling: Production runs were scheduled based on historical estimates that didn't reflect current reality, leading to missed deadlines and capacity planning issues.
The Solution
TimeLog was implemented to provide precise time logging capabilities directly against production tasks in Azure DevOps. This gave the team real-time visibility into where time was being spent across all production lines.
Key Implementation Features:
The solution enabled granular time tracking at the task level. Each production activity—from initial setup through final quality checks—could be logged with precision, providing unprecedented visibility into the production process.
Real-time dashboards gave managers instant access to production metrics. They could see at a glance which lines were running efficiently, where delays were occurring, and how actual performance compared to planned schedules.
The integration with Azure DevOps meant that time data flowed seamlessly into existing project management workflows. Teams didn't need to learn new systems or duplicate data entry—everything happened in one place.
Detailed reporting capabilities allowed for deep analysis of production patterns, identifying trends and opportunities for optimization that were previously invisible.
The Results
Dramatic Improvement in Time Accuracy
Achieved a 35% increase in time tracking accuracy, providing reliable data for production scheduling and resource planning.
- Real-time tracking replaced error-prone manual logs
- Accurate task duration data for better scheduling
- Eliminated estimation errors in production planning
- Improved forecasting accuracy for future runs
Bottleneck Identification & Resolution
Data-driven insights revealed critical bottlenecks in production workflows that were previously hidden.
- Identified specific tasks causing production delays
- Pinpointed inefficient processes across production lines
- Enabled targeted process improvements
- Reduced downtime between production stages
Optimized Resource Allocation
Accurate time data enabled intelligent reallocation of workforce and materials based on actual needs rather than guesswork.
- Workforce assigned based on actual task durations
- Materials ordered according to real production pace
- Reduced idle time and resource waste
- Better capacity utilization across all lines
20% Output Improvement
Combined optimizations led to a 20% improvement in overall production output without additional resources.
- More accurate production run scheduling
- Reduced waste and rework
- Improved throughput on all production lines
- Enhanced visibility into task completion enabled proactive management
TimeLog gave us the visibility we desperately needed. For the first time, we could see exactly where time was being spent across our production lines. The insights we gained allowed us to make data-driven decisions that significantly improved our output.
Key Takeaways
For Production Teams
Accurate time tracking across production lines reveals hidden bottlenecks and enables data-driven optimization that can dramatically improve output.
For Resource Management
Real performance data enables intelligent allocation of workforce and materials, reducing waste and improving efficiency across operations.
For Operations Leaders
Visibility into actual task durations transforms scheduling from guesswork into science, leading to better capacity planning and improved delivery times.
Ready to achieve similar results?
See how TimeLog can transform time tracking for your enterprise team