A shift in ore grade or commodity price can reset the plan from pit to port, and every link in the chain has to adjust at once. Aera senses changes across production, logistics, and inventory; recommends actions that protect throughput and cost; and executes them within policy guardrails.
The data already exists in your systems. The cost lands in what happens between the data and the action.
A move in price or demand changes which ore to mine, how to blend it, and who gets it, and manual schedules take too long to catch up.
Each link in the chain plans in its own system, so a delay at one point shows up downstream as a waiting vessel and a demurrage bill.
Ore, concentrate, and metal are managed in silos across mine, plant, and port, so surplus and shortage coexist in the same network.
Aera automates the routine decisions, augments the complex ones, and executes both in real time. Mining teams see the payoff in five areas of the business.
Extraction schedules and blending plans adjust continuously against grade targets, equipment availability, and plant capacity, so the ore reaching processing meets the specification the customer contracted for.
Shipments are allocated across rail, port, and vessel against delivery commitments and cost-to-serve, with conflicts and bottlenecks resolved before a vessel sits waiting at berth and demurrage starts to accrue.
Mineral and metal inventory is visible from mine site to plant to port and warehouse, with surplus and shortage positions rebalanced against production and customer commitments to release working capital.
Carbon emissions and tailings risk are monitored against targets across extraction and processing, with waste prevention and carbon optimization built into daily operating decisions rather than reported after them.
Routine scheduling, allocation, and inventory decisions run without a planner in the loop, and only the critical exceptions surface for review, so the time goes to the calls that protect throughput and customer commitments.
Aera was named a Leader in the 2026 Gartner® Magic Quadrant™ for Decision Intelligence Platforms. In the companion Critical Capabilities report, Aera scored among the highest across all four use cases.
Gartner, Magic Quadrant for Decision Intelligence Platforms, David Pidsley, Carlie Idoine, Gareth Herschel, Kevin Quinn, Kjell Carlsson, 26 January 2026. Gartner, Critical Capabilities for Decision Intelligence Platforms, Carlie Idoine, David Pidsley, Kevin Quinn, Gareth Herschel, Kjell Carlsson, 27 January 2026. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. GARTNER and MAGIC QUADRANT are registered trademarks of Gartner, Inc. and/or its affiliates.
Prepackaged decision logic your teams can run on day one, tuned to ore grade variability, bulk logistics from pit to port, and ESG obligations.
Recommends mine scheduling adjustments and ore blending strategies to maximize yield and grade, then executes the schedule and blending plan changes that hold throughput and quality targets.
Recommends rail, port, and vessel allocation based on delivery commitments and logistics costs, then executes shipment allocation and adjusts delivery schedules in real time.
Recommends inventory rebalancing based on production output, customer demand, and current stock positions to reduce working capital, then triggers the stock transfers across locations.
Recommends waste prevention actions, including production adjustments, inventory reallocation, and carbon optimization, and triggers sustainability reviews when targets are breached.
How decision intelligence handles ore grade variability, bulk logistics from pit to port, and ESG obligations, with four Skills built for mining.
What changes when production, logistics, and sustainability decisions stop running on separate cycles across the mine-to-market chain.
