Data-driven decision making across the agriculture and food value chains

ACRE is McKinsey’s agricultural advanced-analytics center, with a team of agronomists, data scientists, industry experts, and software engineers experienced in applying analytics to challenges across the food system.

How we help clients

Agricultural Input Manufacturers & Distributors

Identify where and how to expand by reaching grower markets with new products and services.

Commodity Processors & Traders

Evaluate risk-management and procurement processes to minimize both risk and cost.

Governments & Nongovernmental Organizations

Make smarter decisions in value-chain selection by using cutting-edge digital tools in the agriculture, livestock, and fishery markets.

Investors

Stay ahead of the curve by identifying growth hot spots in the agriculture and food markets.

Farm Operators

Improve farm operations by deploying best-in-class digital technology and agricultural analytics.

Fishery Operators

Improve the profitability and sustainability of fishery operations by using advanced geospatial analytics.

Food & Ingredient Manufacturers

Reduce unit cost and volatility of commodity categories with advanced analytics decision-support tools.

Our Approach

Advanced analytics

Our advanced analytics capability combines real-time access to multiple critical data sets, modern data science tools, and cloud infrastructure specifically designed for rapid predictive modeling.

Industry expertise

Our team of agronomists, data scientists, industry experts, and software engineers have broad and deep expertise that allows them to bring a fresh perspective to solving challenges across the agricultural value chain.

Our capabilities

Predictive analytics

We use modern machine-learning and artificial-intelligence methods to forecast movements in commodity yield, quality, and price.

Geospatial analytics

We combine multiple layers of agronomic, weather, and satellite data to identify opportunities at the micromarket level.

Cloud infrastructure

We collect millions of datapoints with an automated ingestion and processing engine to enable faster insight generation.

Digital deployment

We build custom applications that integrate with existing systems to enable sustainable, real-time decision making.

Our Data

Economic and trade

Real-time, global commodity prices, production costs, and other indicators; import and export flows—today and in the future….

Climate and weather

More than 117 high-resolution variables, including real-time weather and 2030 and 2050 climate scenarios.

Satellite

Global satellite-imagery coverage from multiple sources.

Agronomic

Global agronomic data, including yield, soil, and topography data.