Colgate-Palmolive (Hill's Pet Nutrition)

As one of the world's largest consumer goods companies, Colgate-Palmolive operates a sprawling global manufacturing footprint where unplanned downtime carries significant financial and supply chain consequences. Hill's Pet Nutrition, a flagship Colgate-Palmolive brand, runs six production facilities that must meet consistent, high-volume demand for pet food products. The maintenance teams at these plants relied on reactive and time-based preventive approaches — strategies that left critical rotating equipment vulnerable to unexpected failures. Without visibility into actual machine health, the organization could not distinguish between assets running within normal parameters and those approaching failure, making it impossible to prioritize interventions before costly breakdowns occurred.

Colgate-Palmolive partnered with Augury to deploy its Machine Health Solutions across all six Hill's Pet Nutrition facilities, achieving complete asset coverage from the outset. Augury's platform applies predictive machine learning to continuous vibration and ultrasound sensor data collected from rotating equipment across the plant floor. Rather than flagging anomalies in isolation, the system draws on cross-customer domain expertise — patterns learned from monitoring thousands of similar assets across Augury's broader customer base — to deliver higher-accuracy failure predictions than a single-facility model could produce. This network intelligence allowed Hill's Pet maintenance teams to move from scheduled inspections to condition-based interventions, acting on real machine health signals rather than fixed time intervals.

The business case materialized within the first six weeks of deployment at an initial Hill's Pet facility. Two machine health events identified and addressed during that period generated savings sufficient to cover the entire facility's annual program cost — before most deployments would even complete their pilot phase.

• 6 weeks to fully recoup the annual investment at the first site
• 2 machine events in the first six weeks each delivered cost-covering value
• 6 of 6 Hill's Pet Nutrition facilities now equipped with Augury monitoring (100% coverage)

Following this early validation, the program scaled across all remaining Hill's Pet sites and the learnings were adopted more broadly within Colgate-Palmolive's global manufacturing operations.

• Full-asset coverage accelerates ROI — deploying across all assets (not a sample) maximizes the probability of catching high-value events early, as demonstrated by two cost-covering events in the first six weeks.
• Network-effect AI outperforms siloed models — vendors monitoring thousands of similar machines across industries bring pattern libraries that a single plant's data cannot replicate; this cross-customer expertise is a key differentiator when evaluating predictive maintenance platforms.
• Pilot scope matters — starting with one facility while committing to full-coverage deployment allowed Colgate-Palmolive to validate ROI quickly and build internal confidence before broader rollout.
• Maintenance ROI is measurable and fast — organizations should track avoided-failure events from day one; even two incidents can justify a full year's investment in the right operating environment.