Company Saves $5,000 per Hour in Equipment Downtime
For a wood manufacturing and distribution company with nearly 5,000 employees and 20 locations across 13 states, avoidable maintenance downtime was costing thousands per hour. Redlist changed that.
- $5,000/hr
- Downtime Cost Eliminated
- $131K
- Fraudulent Charges Recovered
- 240 hrs
- Saved Per Engineer Annually
- $1M+
- Annual Revenue Recovered
Situation
A wood manufacturing and distribution company operating nearly 5,000 employees across 20 locations in 13 states faced significant challenges with equipment downtime. Avoidable maintenance failures were costing the company thousands of dollars per hour in lost production, and the lack of a centralized maintenance management system made it nearly impossible to track work orders, preventive maintenance schedules, and equipment history effectively.
Without digital inspection workflows, maintenance teams relied on paper-based processes that led to missed tasks, inconsistent data, and delayed responses to developing equipment issues.
Solution
Redlist implemented its digital inspection and CMMS platform across the company's facilities, replacing paper-based workflows with mobile-first digital processes. Maintenance technicians could now capture inspection data in real time, auto-generate work orders from failed inspections, and track equipment history from any device.
The platform's preventive maintenance scheduling capabilities ensured that no task fell through the cracks, while management gained complete visibility into maintenance operations across all 20 locations through centralized dashboards and reporting.
Impact
With Redlist in place, the company dramatically reduced unplanned equipment downtime — the primary driver of their $5,000-per-hour losses. Inspection compliance rates improved significantly, and the team was able to catch developing issues before they became costly failures.
The digital transformation also improved communication between maintenance teams and management, reduced administrative overhead, and gave leadership the data needed to make informed decisions about capital equipment and maintenance resource allocation.
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