DINGO Inspections
Turn Every Inspection Into Action
Inspections are happening across your site every day. But too often, they don’t lead to consistent outcomes.
Data is captured across paper, spreadsheets, and disconnected tools. Structure varies by asset and shift. Issues are identified, but not always followed through. Visibility across equipment and time remains limited.
DINGO Inspections changes that.
It connects inspection data at the point of work directly to analysis and action, so what gets captured in the field leads to something happening.
From Inspection to Action - In One System
DINGO Inspections brings structure to how maintenance data is captured, understood, and acted on.
All inspection in one place
A single system across all assets and inspection types
Data captured in the field, available immediately
No delays, no manual consolidation
Standardized across assets and shifts
Consistent structure, regardless of who completes the inspection
From capture to action
Data flows directly into analysis and drives next steps
Inspection data stops being static records and becomes usable, operational knowledge.
What Changes on Your Site
Before
- Data spread across paper, spreadsheets, and disconnected tools
- Inconsistent structure across teams and shifts
- Issues identified without consistent follow-through
- Limited visibility across equipment and time
After
- Consistent inspection execution across the fleet
- Issues identified at the point of work
- Improved visibility across assets and over time
- Verified completion before equipment returns to service
Why DINGO Inspections Is Different
Most inspection tools stop at data capture. DINGO Inspections connects inspection to action.
All inspections in one place
Asset structures and OEM schedules built in
Directly integrated with analysis
Inspection data feeds into TRAKKA for trending and visibility
ERP-connected
Actions are automatically pushed based on inspection outcomes
Designed to scale across fleets
Consistent structure across assets, models, and sites
Backed by 30+ years of experience
Built on real-world mining and asset health expertise
Built for the Field
Designed for how work actually happens on site:
- Mobile-first, with full offline capability
- Configurable forms for any asset or inspection type
- Real-time alerts during data entry
- Photo capture and asset-based hotspot mapping
- Automated rules engine with ERP integration
Every input is structured. Every output is usable.
See How It Works on Your Fleet
Standardize inspections across your operation.
Capture consistent, structured data at the point of work.
Turn inspection into something your team can act on.
Turn your next inspection into action
Case studies
744 Hours of Unplanned Downtime Avoided: How Early Condition Monitoring Prevented a Potential Catastrophic Generator Failure
Overview During routine condition monitoring of a diesel generator, a trace of coolant was identified in an oil sample. The finding was reviewed and validated by Dingo's Condition Intelligence analysts, who recommended further investigation into the source of the...
Success Story: Turning Disconnected Mobile Asset Health Data into $4.25M in Measurable Value
Background A large-scale open-pit mining operation managing more than 100 pieces of mobile equipment in Africa faced a familiar but critical constraint: data was abundant, but clear, trusted decisions on what to act on were not. Asset condition data, including oil...
Inside Ero’s Predictive Maintenance Success
Discover how Ero Copper partnered with DINGO to modernize oil and lubricant analysis across its underground mining fleet. By implementing TRAKKA predictive maintenance software, the operation reduced downtime, improved asset reliability, and delivered over R$1.3...
Success Story: How Predictive Maintenance Helped a Remote Gold Mine Avoid $3M in Breakdowns
Background A large and remote gold mine in Oceania sought a predictive maintenance solution to improve mobile fleet reliability and reduce unplanned breakdowns by identifying potential failures early. The team also aimed to extend component life through a consistent,...
Insights and Resources
Why Mining Companies Still Struggle With Condition Monitoring (Even When They Have Plenty of Data)
Most mining operations already collect large volumes of equipment condition data. Oil analysis, telemetry, inspections, vibration monitoring and maintenance history all provide valuable insight into equipment health. Yet many maintenance teams continue to struggle...
Condition Monitoring in Mining: How to Turn Equipment Data into Better Maintenance Decisions
Mining operations already collect large volumes of equipment information. Oil analysis, telemetry, inspections, vibration, thermography, work orders, and component history can all reveal changes in asset condition. The harder problem is bringing those signals...
How Mining Organizations Reduce Reactive Maintenance in Critical Equipment
What Is Reactive Maintenance in Mining? Reactive maintenance in mining refers to repairing equipment only after a failure occurs. This approach often leads to unplanned downtime, production losses, and higher maintenance costs. Many mining operations aim to reduce...