Optimize Production Schedules and Decrease Manufacturing Costs

The company had attempted to address forecasting challenges using traditional demand forecasting solutions that relied on statistical algorithms that typically generated a demand forecast every week. However, given the short shelf life of food products, sales orders were sent to the plant with little lead time, sometimes on a daily basis.

The company procured additional rule-based solutions to improve production scheduling, but ran into challenges when trying to optimize schedules and failed to significantly improve manufacturing operations. 

Not disclosed

A global agribusiness and food manufacturer operates eight production lines and produces over 80 million pounds of food products per year across 90+ product codes and various raw materials. 

To address these challenges, the global food manufacturer decided to configure the C3 AI Demand Planning and C3 AI Production Schedule Optimization applications.

The C3 AI team began by ingesting, cleansing, and unifying 18 different data sources that included historical demand forecasts, order history data, production history, manufacturing specifications, and historical inventory levels, comprising 72 million rows of data.

To generate optimal production schedules, the C3 AI team then configured C3 AI Production Schedule Optimization, which automatically generates schedules based on the latest available data and enables schedulers to reduce the time to generate schedules by 96%.

Finally, the C3 AI team configured the user interface across both C3 AI Demand Planning and C3 AI Production Schedule Optimization that enables users to view critical manufacturing KPIs