Operations benchmarking study: AI-driven decision-making with digital twinning and advanced mine modelling
As a critical first step in project execution, Tacmin.ai conducts an Operations Benchmarking Study to assess current operational performance, identify inefficiencies, and establish optimisation strategies. Using AI-powered analytics, this study evaluates equipment utilisation, production efficiency, cost control, and sustainability. By integrating digital twinning with advanced mine modelling software, Tacmin.ai simulates real-world mining conditions, allowing for precise evaluation of workflow efficiency and operational adaptability. This ensures cost-effective investment while complying with industry regulations, safety standards, and environmental sustainability goals.
Pilot project implementation: Testing, validation, and scaling to full project improvement
Before scaling operations, Tacmin.ai conducts a Pilot Project to validate equipment performance and integration. Using the operations benchmarking study as a blueprint, the pilot project benchmarks the first six months of anticipated production. This reference point measures improvements and refines operations through controlled testing, real-world simulations, and AI-generated insights. Following the successful completion and demonstration of improvements during the six-month pilot project, Tacmin.ai enables a seamless scale-up to full project improvement. Tacmin.ai offers solutions ranging from foundational financial tracking to bespoke project oversight for high-stakes operations, ensuring measurable results and maximum value.
Mining performance improvement: Synchronising costs, schedules, and execution with AI-driven benchmarks
Tacmin.ai integrates AI-driven cost tracking, digital twinning, and predictive analytics to enhance mining project execution. Schneider Electric’s AI-driven construction and advanced 3D mine modelling software establish benchmarks to measure production performance and costs. Real-time adjustments optimise operational efficiency, ensuring projects stay within budget and on schedule. Digital twins assess risks and refine workflows before execution, while AI-powered scheduling aligns financial commitments. Automated benchmarking strengthens cost control and predictability, ensuring smooth execution.
Asset performance improvement: Maximising asset utilisation, lifecycle efficiency, and cost control
Tacmin.ai enhances equipment management through AI-powered tracking, predictive maintenance, and automated workflows. Equipment simulations and optimised production projections leverage OEM-designed capabilities and site-specific parameters, ensuring operational planning aligns with actual performance potential. These tools extend asset lifespan, improve maintenance schedules, and enhance resource deployment. Early issue detection prevents costly downtime, while dynamic resource allocation optimises workforce and material efficiency. AI-driven insights improve asset management, reducing disruptions and lowering costs.
Supply chain optimisation: AI-driven efficiency in procurement, inventory, and subcontractor management
Tacmin.ai streamlines procurement, inventory control, and subcontractor management with AI automation. Real-time analytics improve supplier coordination, cost control, and compliance tracking, while predictive demand planning enhances procurement schedules and minimises delays. Automated workflows streamline approvals and financial oversight, ensuring seamless supplier management. AI-driven inventory tracking optimises stock levels, reducing waste and improving supply chain efficiency. By strengthening contract oversight and financial accountability, Tacmin.ai enhances overall project execution and supply chain resilience.
Enhancing workforce training and operational excellence with Tacmin.ai SOPLink
Tacmin.ai’s cloud-based SOPLink system streamlines workforce training by linking work scope packages to engineering drawings and specifications, ensuring real-time automation of standard operating procedures (SOPs). SOPLink applies data-driven intelligence to standardise workflows, ensure regulatory compliance, and optimise project execution. Its customisable framework allows teams to tailor specifications while using a vast library of pre-validated templates to enhance accuracy and efficiency. By leveraging AI-driven execution, SOPLink improves efficiency, accuracy, and knowledge retention, providing a foundation for operational excellence in mining projects.
The AI-driven blueprint for mining operations
For many years, Tacmin.ai’s AI-driven benchmarks have consistently achieved 90% conformance to mine plans and budgets, driving measurable improvements in mining and asset performance. Designed as a blueprint for both optimising existing operations and executing new mining projects, Tacmin.ai integrates decades of mining expertise with AI-driven software, IoT, and automation. This ensures structured execution, precision in cost control, procurement, and asset management through real-time intelligence, automation, and predictive analytics
For project teams looking to enhance efficiency, control costs, and improve operational certainty, Tacmin.ai delivers the next level of intelligent project execution, ensuring sustainable, high-performance outcomes. Transform your mining operations with AI-driven precision. Request an operations improvement demonstration today and discover how AI-driven insights can transform your mining operations.
