Autonomous Optimization Models
The AI that Decides
Prescriptive. Explainable. Adaptive. Built for the real world.
Prescriptive. Explainable. Adaptive. Built for the real world.
Autonomous Optimization Models transform how businesses make decisions. From spreadsheets to autonomous decisions—AOMs prescribe optimal actions, execute them, and continuously learn from outcomes.
AOMs don't just predict—they prescribe optimal actions within your real-world constraints
Adapt in real-time as conditions change, not just during planning cycles
Decisions are executed, monitored, and learned from automatically
Understand why every decision was made with transparent AI reasoning
Real-world AOMs delivering measurable impact. Each model continuously learns and adapts, transforming complex operational decisions into competitive advantages.
Oil & gas operators manage hundreds of wells with varying production rates, maintenance schedules, and capacity constraints. Manual allocation leads to suboptimal production, increased deferment, and millions in lost revenue.
The AOM continuously analyzes real-time production data, equipment health, and market conditions. It prescribes optimal flow rates for each well, balancing production targets with equipment longevity and regulatory constraints.
Global supply chains struggle with inventory positioning across thousands of SKUs, multiple warehouses, and volatile demand patterns. Traditional methods result in excess inventory costs and stockouts.
The AOM employs multi-echelon optimization, analyzing demand signals, lead times, and service level requirements. It prescribes precise inventory levels and replenishment timing for each location, dynamically adjusting to disruptions.
Pharmaceutical companies face critical allocation decisions during drug shortages, balancing patient needs, contractual obligations, and regulatory requirements while maximizing both revenue and patient access.
The AOM integrates demand forecasts, contract terms, and ethical considerations to prescribe fair and optimal allocations. It ensures compliance with regulations while maximizing patient access and maintaining supply chain integrity.
Manufacturers juggle complex production schedules across multiple lines, products, and facilities. Frequent changeovers, varying demand, and equipment constraints create inefficiencies that impact profitability.
The AOM applies advanced scheduling algorithms to optimize production sequences, minimize changeover costs, and maximize throughput. It continuously re-optimizes based on real-time production data and demand changes.