Case Study: a global agribusiness and food manufacturer boosts forecast accuracy and production scheduling with C3.ai

a global agribusiness and food manufacturer boosts demand forecast accuracy 8% with C3.ai

The customer, a global agribusiness and food manufacturer, faced challenges due to highly variable demand from its only customer, a global retailer. This led to inaccurate weekly forecasts and unfulfilled orders, which were exacerbated by the short shelf life of its products. The company attempted to use traditional forecasting and rule-based scheduling solutions but failed to improve operations. To address this, they turned to C3.ai and implemented the C3 AI Demand Planning and C3 AI Production Schedule Optimization applications.

C3.ai unified 18 disparate data sources and used its platform to configure machine learning algorithms for daily demand forecasting and production schedule optimization. The solution delivered significant results, including an 8% uplift in demand forecast accuracy and a 96% reduction in the time required to generate schedules. This identified $30M in additional gross margin from an increased order fill rate and $1.5M in savings from reduced changeovers, demonstrating clear economic value in just 16 weeks.