AI and Data Science working at the heart of the global food supply chain

The AI-based data science scAIcloud® platform is deployed at the heart of the global food supply chain to address the most challenging aspects of food production: waste, planning, and forecasting in an increasingly volatile world. This deployment improves efficiency and increases profitability while assisting supply operations teams in making quick and accurate decisions.

Traditional ERP and optimization systems are tailored to assembly line manufacturing, such as automotive production. However, commodity agriculture manufacturing follows a disassembly process, where products like beef, lamb, poultry, seafood, milk, etc., are broken down into their individual components and reassembled as products that feed the planet, such as steak, bacon, french fries, processed meat, cheese, butter, milk powders, etc.

Traditional platforms are ill-suited to the unique nature of commodity ag ingredients production, resulting in ineffective outcomes.

In contrast, the scAIcloud® platform was purpose-built for the global food supply chain, specifically addressing the economics of the disassembly production process. It empowers food processors to capture the inherent value within their operation, from farm to fork, leading to improved outcomes for consumers, processes, and farmers.

The platform was designed by industry-leading data scientists in collaboration with leaders from each of the food industries it serves. These leaders are responsible for optimizing production at the world's largest food companies. The products offered by the platform effectively address the real challenges across the supply chain.