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Against this backdrop, manufacturers are re-examining how they invest in their operations. While short-term cost control remains important, long-term competitiveness now depends on efficiency, resilience, compliance and resource optimization. Increasingly, automation is at the center of this shift, but its role is evolving.
Traditionally, automation has focused on improving discrete tasks or isolated processes. Today, the opportunity is far greater as manufacturers are moving beyond fragmented systems and reactive decisionmaking towards integrated, data-driven operations. This shift enables more consistent performance, reduces manual intervention and strengthens Total Cost of Ownership( TCO) over time. Achieving these outcomes requires connected automation and digital solutions across the factory lifecycle, often supported by AI.
The connectivity challenge
Most F & B manufacturing facilities already generate vast volumes of data. Production lines, sensors and control systems continuously capture information ranging from temperature and flow rates to cleaning cycles, downtime events and quality parameters. However, this data is often siloed; it may be visible within individual systems or departments but disconnected across the wider operation.
This fragmentation limits its value. For example, a machine alert may flag a fault, but without context, it does not show how it affects product quality, downstream
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