Built an asset lifecycle management platform for a global mining manufacturer

Austin Engineering manufactures heavy mining attachments — buckets, dump bodies, and truck bodies — for major mining operators across Australia, Chile, Peru, and Turkey. Their products operate under extreme wear conditions at mine sites worldwide.

As the fleet under management grew past 900 assets, Austin needed a purpose-built platform to replace a generic third-party tool that couldn't support their inspection logic, wear visualisation, or IoT roadmap. 

• Generic platform couldn't support product-specific inspection grids or wear calculations
• Inspectors recorded thickness measurements manually on paper or in Excel
• Customers had no self-service access to their own asset condition data
• platform was not owned by Austin — no ability to modify, scale, or extend it
• IoT sensor integration was impossible in the existing platform

1. Replaced the generic tool entirely

MainTrack treated all asset types the same. We designed AustIQ around Austin's actual product geometries — configurable inspection grids per asset type, not a one-size-fits-all template. 

2. Automated manual field team workflows

Wear calculations, condition scoring, and residual life forecasting happened manually after every inspection. We built these directly into the inspection engine so results are generated the moment measurements are entered. 

3. Built for customer transparency

Austin's post-sale value depends on customer transparency. We designed self-service access into the platform from the start — giving customers direct visibility into wear trends and inspection reports without Austin staff distributing files. 

4. Designed for IoT from day one

Austin was planning ultrasonic pod sensors before AustIQ existed. We built the AWS S3 integration early so pod data and manual inspection data would live in the same interface when the hardware rolled out. 

Asset Lifecycle Management

• Full lifecycle record for 900+ assets across global mine sites
• Full codebase ownership transferred — no third-party platform dependency
• Multi-role access: Admin, Sales Manager, Product Specialist, Customer roles
• QR code asset document access for field teams without system login
• Weekly automated digest summarising fleet status for all Austin users 

Inspection Engine

• Product-specific inspection grid templates per asset geometry
• Automated wear percentage calculation per grid point and asset
• A/B/C/X condition scale applied instantly on inspection completion
• Residual life and expected replacement date forecast from wear data
• Repair cycle reset logic when steel is replaced 

Visualisation & Reporting

• 3D STL heat-map rendering wear distribution across the full asset surface
• Wear progression comparable across multiple inspection cycles
• RTIO digger-data reporting module replacing disconnected Power BI pipeline
• PDF inspection reports with QR-linked read-only detail pages 

Integrations

• AWS S3 integration ingesting ultrasonic pod sensor thickness readings
• Pod and manual inspection data displayed in the same interface
• Excel import for RTIO digger data processed within AustIQ 

Austin Engineering moved from a generic commercial platform and manual inspection processes to a purpose-built lifecycle management system covering 900+ assets at mine sites across four continents — with automated wear analysis, customer self-service, and IoT monitoring in active rollout.

Business Impact

• Unified condition visibility across 900+ assets at global mine sites
• Automated wear analysis replaced manual post-inspection calculations
• Customers self-serve inspection reports and wear data without Austin staff
• Full platform IP ownership eliminated third-party vendor dependency
• IoT pod rollout enabled continuous monitoring between physical inspections