Revolutionizing Supply Chains with Enterprise AI

Table of Contents

1. Introduction to Cargill
2. Cargill's Purpose: Nourishing the World in a Safe, Responsible, and Sustainable Way
3. The Challenges of Feeding 10 Billion People
4. Cargill's Global Supply Chains
5. Core Business Areas of Cargill
6. The Need for Enterprise AI in Cargill's Supply Chains
7. The Intelligent Supply Chain Platform
8. The Journey to Implement Enterprise AI in Cargill
9. Use Case 1: Production Scheduling Optimization
10. Use Case 2: Freight Market Intelligence
11. The Future of Enterprise AI in Cargill's Supply Chains

Introduction to Cargill

Cargill is a global company with a rich history in grain trading and storage. Over its 157 years of existence, it has expanded its operations to encompass various businesses across 70 countries. With a workforce of over 155,000 people, Cargill's purpose is to help nourish the world in a safe, responsible, and sustainable way.

Cargill's Purpose: Nourishing the World in a Safe, Responsible, and Sustainable Way

The world's population is expected to reach nearly 10 billion people in the next 30 years. This poses a significant challenge in terms of global food production and distribution. Cargill recognizes the importance of nourishing the world while ensuring safety, sustainability, and responsibility in its operations. With a commitment to improving farmer livelihoods and avoiding human rights violations in its supply chains, Cargill strives to address these challenges head-on.

The Challenges of Feeding 10 Billion People

Feeding 25% more people on the planet brings forth numerous challenges for supply chains. The increasing demand for food requires efficient and sustainable solutions. Cargill faces challenges such as carbon emissions, stressed watersheds, land use, and deforestation. To overcome these challenges, Cargill aims to leverage technology, including artificial intelligence (AI), to optimize its supply chains and ensure responsible practices.

Cargill's Global Supply Chains

Cargill operates in multiple sectors, ranging from agriculture to food production and financial services. Its supply chains cover the entire spectrum, from farmers to consumers. With a vast manufacturing footprint, Cargill stores materials in approximately 10,000 locations globally. The complexity of its global supply chains necessitates innovative approaches to ensure efficient operations and meet the needs of customers worldwide.

Core Business Areas of Cargill

Cargill's core business areas include agriculture, food production, and financial services. With a significant presence in the agricultural industry, Cargill cultivates crops and transforms them into finished goods. The company also focuses on providing insights and managing global trade flows. With over $134 billion in revenue in the last year, Cargill's diverse businesses contribute to its growth and impact in the market.

The Need for Enterprise AI in Cargill's Supply Chains

As Cargill's supply chains have grown and evolved, the need for an enterprise-wide AI solution becomes apparent. With complex systems and a diverse range of businesses, Cargill seeks to harness the power of AI to optimize its supply chains, enhance decision-making processes, and gain valuable insights. By connecting data and leveraging AI technologies, Cargill aims to drive innovation and value creation throughout its supply chains.

The Intelligent Supply Chain Platform

Cargill's intelligent supply chain platform serves as the foundation for its AI transformation. This platform enables the development of reusable AI applications that can be tailored to various business units and regions. The platform facilitates integration, connectivity, and scalability, ensuring consistency and effectiveness across Cargill's supply chains. By building a robust and flexible platform, Cargill can unlock the full potential of AI to drive value and efficiency.

The Journey to Implement Enterprise AI in Cargill

Cargill has embarked on a journey to implement enterprise AI in its supply chains. By establishing dedicated supply chain and AI product teams, Cargill aims to Create a continuous development and deployment cycle. These teams work collaboratively with partner organizations like C3 to develop and deploy AI solutions effectively. This ongoing process ensures that Cargill maintains a customer-focused approach and continues to improve its applications over time.

Use Case 1: Production Scheduling Optimization

One significant use case for AI in Cargill's supply chains is production scheduling optimization. By leveraging AI technologies and advanced analytics, Cargill aims to enhance detailed scheduling processes in its North America beef business. With better optimization and flexibility, Cargill can improve resource allocation, reduce costs, and ensure efficient production processes. This use case demonstrates the potential for AI to bring significant value and scalability to Cargill's supply chains.

Use Case 2: Freight Market Intelligence

Freight market intelligence is another critical area where Cargill leverages AI. With a comprehensive understanding of freight prices and capacity, Cargill can make informed decisions about pricing and logistics. By analyzing vast amounts of data from diverse sources, including proprietary data, Cargill aims to improve accuracy and predictability in its freight planning processes. This use case highlights the power of AI in optimizing supply chain operations and driving financial efficiency.

The Future of Enterprise AI in Cargill's Supply Chains

As Cargill continues its AI journey, the focus remains on expanding the application of AI across its supply chains. Cargill aims to provide end-to-end visibility, anticipate issues, optimize processes, and deliver exceptional digital experiences to its customers. Through continuous improvement, close collaboration with partner organizations, and a customer-centric approach, Cargill strives to unlock the full potential of enterprise AI in its supply chains.