Costs move on policy decisions made elsewhere, margins compress overnight, and the sourcing options open this morning may not be open this afternoon. Aera senses changes across cost, supply, and price; recommends actions that protect margin and supply continuity; 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 change in trade policy or commodity prices reaches procurement, production, and pricing at once, and each needs a different answer.
Crude and product prices shift overnight, while the price build that answers them is still a manual exercise run once a day.
Exposure across globally sourced equipment sits in separate systems, so a shortage surfaces as a stoppage rather than as a signal.
Aera automates the routine decisions, augments the complex ones, and executes both in real time. Oil and gas teams see the payoff in five areas of the business.
Tariff scenarios are modeled against inventory, refining and logistics costs, and trade policy updates, with the production, storage, and sourcing moves that follow each one costed out before anything is committed.
Price builds run off near real-time market data, competitor positioning, and customer schedules, so terminal-level recommendations arrive intraday rather than after the publication deadline has passed.
Material-level data is connected to demand forecasts to score both the probability and the impact of supply risk, with alternate vendors and revised purchase orders recommended before concentration becomes a stoppage.
Internal spend data is connected to external cost trends and projected demand, so negotiations across rigs, platforms, and refineries run on cross-site benchmarks and market indices, and quotas or contract terms can be locked ahead of an increase.
Routine sourcing, pricing, and exception decisions run without a person in the loop, and the data gathering that used to precede them is gone, so the hours go to the calls that need judgment.
The beautiful part with Aera is that I understand what is the impact of the decisions I make and of the decision I don't make. All of the decisions that are enabled are part of the daily runs. All of that will enable us to fundamentally change how we drive the supply chain. But also it will change our operating model and will drive to a far more integrated one across the organization.
Prepackaged decision logic your teams can run on day one, tuned to tariff exposure, commodity cost swings, and globally sourced critical equipment.
Recommends raising or lowering production volumes to align with tariff-adjusted cost structures, and adjusting terminal storage and transportation capacity to buffer against disruption.
Recommends negotiating with existing suppliers across rigs, platforms, and refineries using internal benchmarks and market signals, and reallocating quotas or extending contracts to lock in rates ahead of cost increases.
Recommends price increases or decreases at the terminal level, and gives account managers the supporting analytics to execute and update systems immediately.
Recommends reallocating quotas to reduce concentration risk on tariff-exposed or underperforming vendors, and triggering alternate suppliers for critical materials like tubulars, valves, and compressors.
Also relevant to oil and gas operations: Railcar Optimization, Demand Planning, and Control Tower.
How decision intelligence handles tariff exposure, margin compression, and globally sourced equipment risk, with four Skills built for oil and gas.
How a leading oil and gas company moved terminal gate pricing from a daily manual build to intraday recommendations.
Why performance in oil and gas now turns on decision agility, and how sourcing, pricing, and supply decisions run as one connected process.
Why renewed tariffs and longer lead times outrun traditional planning, and what answers them instead.
