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Commodity Buyers & Traders

Evaluating and optimizing commodity risk

ACRE uses advanced analytics to identify opportunities to improve risk-management strategies and then deploy accurate price forecasts and risk models to reduce bias and sustain impact.

What we do


We rapidly identify opportunities to make procurement and risk management more agile through quantitative assessments of performance and comparison with best practices.


We tailor ACRE’s machine-learning algorithms to your risk tolerances to create a fit-for-purpose set of tools to help balance risk while reducing cost.

Capability building

We train your team to incorporate best practices, including the use of digital tools, to help your organization make real-time, fact-based decisions with greater transparency.

Examples of our work

More than $150 million in savings identified

Incorporated dynamic risk analytics into a metals company’s procurement processes.

3 to 5 percent savings on raw-commodity costs

Identified raw-commodity costs savings for clients in the agriculture, metals, and mining sectors.

More than $85 million in unwanted risk identified

Helped a grain trader’s risk-management function whose trading decisions did not reflect the organization’s stated risk tolerance.

Featured Insights


Amid volatile commodity prices, beware of cognitive bias

– Advanced analytics can help overcome cognitive biases that can lead managers to make irrational risk-management decisions.

Precision fisheries: Navigating a sea of troubles with advanced analytics

– Advanced analytics may help struggling fisheries thrive while simultaneously protecting endangered ocean resources.

Alternative proteins: The race for market share is on

– Consumer interest in non-meat-based protein options is increasing globally. Food industry players that want to capture the opportunity must understand the evolving market dynamics and where to place their bets.

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