Do you have predictive maintenance case studies from real manufacturers?

Yes. Monitory has deployed predictive maintenance across industrial manufacturers in the US and Europe. Tyler Union (McWane), a waterworks fittings manufacturer in Anniston, Alabama, used AWS Monitron vibration and temperature monitoring, implemented by Tactical Edge AI, to restore equipment monitoring after its previous system stopped working. HORMANN Digital evaluated predictive maintenance for automated warehouse equipment in a proof of concept across two test sites. Tactical Edge AI also supported condition-based maintenance at AB InBev's Houston brewery.

What ROI do manufacturers see from predictive maintenance?

Across Monitory's customer base, manufacturers consistently report: 60% reduction in unplanned downtime, 35% reduction in emergency repairs, 2.4x increase in productive technician hours, and 45% reduction in spare parts costs. Most customers achieve positive ROI within the first quarter of deployment. For a plant with $1.5M in annual unplanned downtime costs, that typically translates to $900K+ in first-year savings against a software investment of $100K–$300K.

How long does it take to deploy predictive maintenance and see results?

Most Monitory customers see their first predictive insights within 5 minutes of connecting data sources. A full deployment with AI models calibrated to your specific equipment typically takes days to weeks, not months. Deployment time depends on the number of assets, sensors, and integrations in scope.

What industries have real-world predictive maintenance case studies?

Monitory has documented case studies in waterworks fittings manufacturing (Tyler Union/McWane), industrial manufacturing (HORMANN Digital), and food & beverage (AB InBev). The platform serves automotive, food & beverage, oil & gas, energy, heavy industrial, consumer packaged goods, and equipment manufacturing — all sectors with documented results from real deployments.