Once ERP, MES and machine data sit in one model, AI can start doing useful work. These are the use cases we build most often for manufacturers.
Visual quality inspection
Computer vision models that check parts, labels or assemblies from line cameras and flag defects for an operator to confirm.
Predictive maintenance
Learn normal vibration, temperature and current patterns per asset and alert maintenance teams before a failure stops the line.
OEE and downtime analytics
Availability, performance and quality per line and shift, with downtime reasons captured at the source instead of on paper.
Demand and production forecasting
Forecast orders by product and plant so planners can set production schedules and raw-material purchases with more confidence.
Energy monitoring
Track energy use per machine, line or batch to find waste and support sustainability and emissions reporting.
Knowledge assistant for SOPs
An assistant that answers operator and technician questions from your manuals, SOPs and maintenance history, citing the source document.