Articles Tagged with ''data collection''

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?

The recalls making headlines are not happening because food manufacturers stopped caring about safety. They are happening because the systems designed to catch problems are built to record what happened, not to prevent what is about to happen. This is one area where agentic AI can be transformational for food supply chains.

The world of smart packaging comprises many parts — intelligent equipment, recyclable materials, captivating art and lots of data — but pulling it together is a challenge. However, if done correctly, it benefits everyone in the supply chain from producer to consumer with timely information.

You know the origins of all your ingredients and everything that happened during the processing, cooling and freezing of your product, but what can you know about your product once it leaves your premises? This is the job of the track part of track-and-trace.

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.

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.

It is critical for manufacturers such as food processors to recognize that while AI has the potential to become the "turbocharger" of operations, that transformation rarely happens by simply bolting on use cases.

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.

Success in operational readiness is all about data collection. When predictive maintenance systems are integrated with actionable alert-enabled HMIs, OEE increases.