Leveraging AI vision on €1.5B construction projects using Viso Suite’s best-in-class infrastructure
Customer background
The Rhomberg Sersa Rail Group (RSRG), headquartered in Austria, is a fourth-generation family-owned company operating in the fields of construction, resources and rail technology. Over 4,000 staff are employed across its global operations.
The business need
RSRG’s construction business unit offers civil engineering services on projects often exceeding €1.5 billion.
They identified the rental of heavy machinery as a key cost item on each project and sought to understand machinery utilization trends across global sites and over time:
- Site Directors intended to use this insight to adjust rental periods to avoid idle time, reducing operational costs.
- Commercial intended to optimize cost projections for new bids based on this insight. RSRG expected to lower prices leading to a potential increase in bid win rates.
Challenge
Impact
Remained at the industry standard for safety monitoring and compliance
Needed to balance advanced safety technology with cost efficiency
Pushed to best optimize safety data for continuous improvement
Resolution
The solution
The end-to-end solution, built and configured on Viso Suite, involved:
- Machinery Detection of individual pieces of equipment on each site
- Machinery Utilization Tracking: Full visibility into when machinery is idle vs. being used in operation
- Automated Reporting: Weekly reports sent to Site Directors. Where utilization is below target thresholds, a conversation ensues around site plans to optimize operations
- Cost Efficiency Insights: Project scoping teams can drill into historical data based on a number of factors to ensure heavy machines are only rented when necessary
Business results
RSRG gained:
- Reduced operational costs
- New revenue stream as this capability was productized
- Enhanced culture of data to drive operational and financial improvements