AI Co-Pilot for Optimized Coal Operations
Discover how we built an AI Co-Pilot to enhance coal blending efficiency, ensures product quality, and boosts profitability through real-time data integration and predictive analytics.

Challenge
Coal blending directly impacts a mining site's profitability, influencing:
- Total output and operational throughput.
- Product quality and stability.
- Process flexibility and adaptability.
- Final market value of coal products.
Given these critical factors, the client required a sophisticated and precise solution to optimize coal blending and associated operational processes.
Solution
The Mahusai team developed an intelligent AI Co-Pilot leveraging advanced AI capabilities, including:
- Core Blending Optimization: A dynamic AI-driven blending engine that continuously evaluates coal stockpile properties, recommending optimal coal mixes to achieve targeted product grades.
- Real-Time Data Integration: Real-time ingestion and analysis of data streams, including coal quality indices, market prices, vessel locations, port conditions, and weather forecasts.
- Sales & Supply Optimization: AI-powered recommendations aligning sales strategy with dynamic blend suggestions, optimized scheduling, and prioritization to maximize revenue and minimize demurrage.
- Streamlined Data Management: Automated certificate uploading and intuitive reporting tools that eliminate manual data entry, enhancing data traceability and simplifying reporting.
- Forecasting & Planning Tools: Predictive analytics enabling proactive decision-making by forecasting stockpile volumes, vessel schedules, and anticipating demand surges or potential overstock scenarios.
Technology
- Frontend: React Native
- Backend Framework: Django REST
- Cloud Infrastructure: AWS
- Optimization Algorithms: Nonlinear Programming (NLP) & Mixed-Integer Nonlinear Programming (MINLP)
Results
Following deployment, the AI-driven coal optimization solution dramatically improved the client's operations:
- Significantly increased operational efficiency and coal product quality consistency.
- Enhanced profitability through dynamic, real-time decision-making.
- Reduced operational risks by transitioning from reactive to proactive management.
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