Execute & Optimize
Intelligent Inventory Management for the Mining Industry
Years of Experience
End-to-End
Visibility & Control
AI-Ready
Planning Platform
Planning
Analytics
Risk
Collaboration
Data
Inventory
The Mining Inventory Challenge
Complex maintenance environments demand specialised inventory planning approaches
High-Value Rotable Components
Critical repairable assets with long lead times and complex overhaul cycles require precise pool sizing and proactive lifecycle planning.
Slow-Moving & Lumpy Demand
Intermittent demand patterns make traditional forecasting unreliable, requiring specialised statistical methods and risk-based planning.
Complex Multi-Site Networks
Distributed mining operations across multiple sites create challenges in stock visibility, transfer optimisation, and network-wide planning
OEM & Supplier Dependencies
Long OEM lead times, limited supplier bases, and repair cycle variability introduce significant supply risk for critical components.
Balancing Cost & Availability
Maintaining asset uptime while minimising working capital requires data-driven trade-off analysis between service levels and inventory investment.
Siloed Planning Functions
Disconnected maintenance, supply chain, and finance functions lead to misaligned plans, reactive decision-making, and suboptimal inventory positions.
An Integrated Planning Ecosystem
An integrated process, governance, and digital platform that connect maintenance planning, inventory management, and cross-functional decision-making into a single, data-driven workflow.
01 — MROP
Maintenance, Repair & Overhaul Planning
- Rotable pool sizing and lifecycle management
- Long lead time demand planning
- Component repair cycle tracking
- Exchange and rebuild scenario simulation
02 — Materials
Materials & Inventory Management
- Time-phased materials requirements
- Safety stock calculation and testing
- Network-wide stock visibility
- Recommended order generation
03 — Supply
OEM & Supplier Collaboration
- Repair process status tracking
- Lead time management and review
- Supply order management
- Proactive supply risk mitigation
04 — AI/ML
Advanced Forecasting & Analytics
- Multiple statistical forecasting methods
- AI/ML-driven predictive analytics
- Demand pattern recognition and classification
- Model comparison and best-fit selection
05 — Logistics
Container Built & Load Optimisation
- Container fill-level evaluation
- Best-fit bin-packing algorithm
- Capacity optimisation and space utilisation
- Automated container load planning
AI-Ready
End-to-End Visibility & Control
Across high-value components and spare parts — all connected in one intelligent platform purpose-built for mining.
Mining-Specific From the Ground Up
Every capability is designed for the realities of mining inventory — from slow-mover detection to high-value rotable classification.
Capability 01
A matrix approach to item classification that segments by movement class and criticality, enabling dynamic reclassification as your operation evolves. High-hit items get statistical forecasting; slow movers get risk-adjusted safety stock; unpredictable high-value parts get analyst intervention.
Capability 02
Capability 03
Safety stock calculation, reorder point tuning, and working capital analysis — all calibrated to the risk tolerance and criticality profile of each item. Set inventory policy with confidence backed by data, not gut feel.
Capability 04
Multi-site stock visibility across your full mining network. Manage lead times, collaborate with suppliers, track orders, and expedite proactively — from one unified workspace with live exception feeds.
Capability 05
End-to-end exception management, approval workflows, and a full audit trail of every decision and recommendation. Performance dashboards keep teams accountable and continuous improvement measurable.