Curious minds: risk analysis, cost models, commodities forecast
Applied Generative AI for digital transformation
Applied Generative AI for digital transformation

TCO modelling, Should-cost analysis, Value Engineering & Design-to-Cost, Category management excellence.

Machine learning applied to procurement. Spend Analytics, Demand Forecasting Risk Scoring Models, and Digital Procurement Roadmaps.

Commodity price forecasting for 10 mining categories. Base, bull & bear scenarios so your procurement timing is backed by rigorous modelling, not instinct. Commodity Price Forecasting. Input Cost Inflation Monitoring. Quarterly Intelligence Reports.

Procurement planning and execution for $50M+capital projects. From pre-feasibility through commissioning, we keep critical path items on track. Capital Project Procurement Strategy: Long-Lead Equipment. Bid Evaluation & Contract Award.
Most procurement functions focus on price. We focus on total value, uncovering savings in lifecycle cost, supplier terms, specification risk, and market timing that unit-price thinking always misses.
→TCO modelling for mining equipment, reagents, and mobile fleet.
→Should-cost models built from first principles — not just market comps
→Value engineering sessions embedded in FEED and detailed design phases
→Category strategies for explosives, grinding media, tires, and reagents
→Procurement repositioned as a measured EBITDA contributor

We apply machine learning to the procurement data sets that matter most in mining — spend ledgers, transaction logs, supplier financials, and consumable usage rates from mine sites.
→Spend analytics with anomaly detection and category-level pattern recognition
→Demand forecasting for grinding media, reagents, haul truck tires, and diesel
→Supplier financial health monitoring and early-warning risk scoring
→Digital procurement roadmap and P2P/S2C platform selection
→Live KPI dashboards for procurement leadership teams

From feasibility to commissioning, we provide the procurement strategy and governance that keeps $50M+ mining projects on the critical path. Trusted by owners' teams and PMC organizations.
→Procurement strategy, packaging, and contracting models for major equipments.
→Long-lead equipment management — SAG mills, Crushers, MCC, HV transformers.
→Bid evaluation matrices and contract award methodologyé
→Contractor prequalification and approved vendor panel management
→Procurement governance, DOA frameworks, and audit controls

The price of a commodity is difficult to predict. We try to model forward price curves for the mining input commodities that matter most: steel, copper, reagents, and explosives, so your procurement timing is data-driven.
→Base, bull, and bear scenario models for 12 mining input categories
→Quarterly intelligence briefs to procurement and treasury leadership
→Budget input cost planning tied to real market price forecasts
→Steel hedging strategy advisory
→Procurement timing recommendations for a major contract award, based on the cycle.


Procurement execution strategy and deployment of the procurement execution plan for a hydrogen project in the Montreal area. Managed contract formation, contract award, contract administration, expediting, quality assurance, and logistics for 40 packages and contracts
Risk analysis and cost optimization for a supply chain for the transport of sodium cyanide in Western Africa. Context: transporting a hazardous material in an insurgent area, under an army convoy. long waiting time, high demurrage and parking fees. Solution?
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