Fixed Asset Lifecycle Management

A major global logistics provider, as documented in a 2025 Deloitte case study, deployed sensor-based predictive analytics across conveyance equipment in its distribution centers. The organization added IoT sensors to assets across its facility network, pulled data into a cloud environment, and used analytics to identify equipment lifespan patterns and target maintenance interventions before failures occurred. The result was faster and more efficient operations, though Deloitte noted that the shift from reactive to predictive operations required specialized skills to architect systems, design sensor strategies, and create data pipelines from edge to cloud.

A large chemical manufacturer, documented in a Deloitte Insights analysis, piloted predictive capabilities for one asset class -- extruders -- and achieved an 80% reduction in unplanned downtime along with cost savings of approximately $300,000 per asset. The organization subsequently expanded this capability to other critical equipment across multiple facilities. Separately, a global logistics leader operating in more than 200 countries rolled out an enterprise asset management platform across 177 European sites within one year, as documented by MaxGrip in 2025, standardizing maintenance processes and gaining consolidated visibility into asset health, preventive maintenance activities, spare parts, and costs. An IDC study published in May 2024 found that organizations using a leading enterprise asset management suite realized average annual benefits of $13.9 million per organization, including a 26% productivity gain for technician teams, a 17% increase in average asset lifespan, and a 57% reduction in mean time-to-repair.