Articles Tagged with ''data analysis''

The pursuit of improved operational margins is difficult, as CPG companies face over 20% in cost losses due to inefficiencies. Many are implementing advanced sensors and contextual data analysis to enhance maintenance and develop AI-driven strategies in manufacturing.

Plants often have aging equipment that works fine, and it may have sensors, but in many cases that data never connects with data from other siloed processes. Why not connect all the data together with intelligent networks and use AI to get a better understanding of the whole process?

AI may dominate industry conversations, but data modeling is delivering measurable results today. Discover how food, dairy and pet food manufacturers are using real-time production data to improve quality, increase throughput and give operators the insights needed to drive smarter decisions.

In an evolving manufacturing landscape, leaders are leveraging AI and advanced analytics to enhance efficiency and decision-making. Contextual data and real-time insights are driving innovation, allowing companies like Ruiz Foods and Kraft Heinz to unlock significant value and optimize operations.

Food and beverage plants often face hidden losses marked by discrepancies in yield, giveaway, and mass balance. While OEE measures capacity usage, it doesn’t provide insights into product quantity or waste, which can be revealed by analyzing quality data effectively.

As the call is on to conserve water and lower usage, modern cleaning and sanitation systems employ digital tools and AI to curb wasteful water usage.

In an era where visibility and agility are becoming more essential, many food and beverage manufacturers are moving toward enterprise resource planning (ERP) solutions that help create a single system of record.

Perfect Batch applies industrial AI to identify ideal batch profiles from historical data and actively recommend actions for increasing efficiency.

AI is revolutionizing manufacturing with applications in predictive analytics and product development. Despite challenges like data silos and integration, progress is being made towards agentic AI. Discover how companies are adapting and what the future may hold.

You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.