Key Takeaways:
- Acres and AgHeritage Farm Credit Services have announced a new partnership to integrate advanced land data into agricultural finance.
- This collaboration highlights the growing importance of land intelligence in financial services for rural communities.
- Acres’ platform will enhance AgHeritage’s efficiency and organization in sharing data with its customer-owners.
- The partnership aims to empower farmers and rural communities with informed decision-making tools.
- Access to accurate, up-to-date land data will promote a more efficient and transparent land marketplace.
Acres, a land intelligence platform developed by AcreTrader, has partnered with AgHeritage Farm Credit Services, a Farm Credit lender with over a century of experience in agricultural and rural land financing. This collaboration aims to integrate Acres’ land data into AgHeritage’s operations, highlighting the growing importance of land intelligence in financial services for rural communities.
Focus on Agricultural Finance
Carter Malloy, CEO of AcreTrader, Inc., highlighted the partnership’s significance, stating, “The AgHeritage Farm Credit services team exemplifies what it means to be forward-thinking in agricultural finance. Their dedication to integrating Acres’ advanced land data into their operations redefines industry best practices and empowers farmers and rural communities with the insights to make informed decisions.”
This partnership aims to enhance the use of land data in agricultural finance, promoting a more efficient and transparent marketplace. By leveraging Acres’ data platform, AgHeritage aims to improve its service to customer-owners with precise and insightful information.
Improving Efficiency and Organization
Griffin Golleher, VP of Sales and Marketing at AgHeritage Farm Credit Services, commented on the practical benefits of Acres. “Acres is a versatile and valuable tool that has enabled AgHeritage to be more efficient and organized with the data we share with our customer-owners,” he said. This partnership is expected to improve data management and sharing efficiency.
