DTN®, a data, analytics, and technology company, and Gro Intelligence, an AI company with a focus on agricultural markets and climate, have blended their data and modeling expertise to provide grain marketers and buyers with predictive county-level grain supply insights that can help reduce risk.
The Gro Supply Location Monitor is a cloud-based application that connects exclusive grain market and pricing information from DTN with Gro’s AI-driven, predictive insights to better assess the economics and risk of buying, storing, and handling grain at over 4,000 facilities across the United States.
Access to more precise in-season U.S. production and price data throughout the season enables companies to tap into a more accurate view of risk, investment opportunities, profit potential, and price fluctuations. Whether as a primary source across multiple facilities or as a secondary source verifying in-person monitoring, buying and lending teams can leverage the Supply Location Monitor to streamline their buying, selling, and planning processes.
"In today’s volatile markets grain marketers are seeking solutions that can help them reduce harvest uncertainty. We know that better data drives better decisions and with DTN pricing data and unique commodity insights as part of Gro Intelligence Supply Location Monitor, organizations can make smarter, agile decisions with confidence," said Grey Montgomery, DTN Global Leader for Strategy, Corporate Development and Growth Markets.
"DTN and Gro are bringing together exclusive boots-on-the-ground insights with comprehensive, real-time visibility that Gro’s satellite data coupled with AI and machine learning can add," said Jim Heneghan, SVP of Agribusiness at Gro. "This Monitor is a dynamic extension of this opportunity."
Even deep on-the-ground knowledge cannot make up for the decisioning accuracy needed in the face of extreme weather events such as droughts and flooding, which has increased in-season volatility in corn and soybean yields. This past growing season, the USDA significantly lowered its final yield numbers for corn and soybeans from their original estimates, which Gro’s Yield Forecast Models - a critical input into the Supply Location Monitor - forecasted months in advance.
In addition to Gro’s county-level Yield Forecast Models that update daily, the Supply Location Monitor incorporates Gro’s unique, proprietary data across climate and environmental conditions, Gro’s acreage estimates, as well as ingested private and public sources across historical production and harvested area to provide highly accurate in-season production and market depth information.