Industrial food producers operate in a paradox: maintaining maximum packaging throughput to meet demand, yet suffering from unpredictable machinery breakdowns that can halt production for hours or days.

High-speed automation increases output, but the complexity means a single equipment fault can cascade across the line, multiplying costs, increasing labor overtime, and risking product spoilage or loss of retailer trust.

Current systems only signal issues after they have occurred, not before.

Lack of real-time, granular machine health data and advanced analytics prevents operators from accurately forecasting failures.

Diverse machinery, proprietary control systems, and legacy infrastructure create silos, limiting comprehensive visibility and integration of predictive diagnostics.