Every failed first-time fix doubles your truck roll cost and erodes customer trust in equipment uptime.
Failed first-time fixes cost industrial OEMs $800-1,500 per repeat truck roll. AI-assisted diagnostics improve first-time fix rates from 72% to 89%, cutting repeat visits by 60% and reducing annual service costs by $2.4M per 100 technicians.
When technicians miss the root cause or lack the right parts, customers wait days for a return visit. Each repeat truck roll adds travel time, labor, and parts staging—compounding costs that erode service margins.
Technicians spend billable hours driving back to sites they already visited. Travel time and repeat diagnostics cut into productive capacity, delaying other customers and reducing revenue per technician.
Production lines idle while waiting for the second visit. Customers track every hour of unplanned downtime, and OEMs face SLA penalties or erosion of service contract renewals when equipment sits offline.
Bruviti's platform analyzes equipment telemetry, service history, and parts availability before dispatch. Technicians arrive with pre-staged parts and a root cause hypothesis validated against 10+ years of failure patterns. This front-loads diagnostic accuracy and eliminates the guesswork that drives repeat visits.
For complex machinery with 20-30 year lifecycles, the platform preserves retiring technician expertise in executable AI models. New technicians access tribal knowledge on-site through mobile copilots, maintaining first-time fix rates even as senior staff retire. This speeds onboarding from 18 months to 6 months while protecting service margins.
Pre-stage parts for CNC machines and turbines based on failure mode, usage hours, and historical consumption—eliminate "missing part" repeat visits.
Correlate vibration, temperature, and pressure anomalies with historical failure patterns to identify root cause before dispatch.
Mobile copilot delivers repair procedures, troubleshooting steps, and tribal knowledge on-site for pumps, compressors, and robotics.
Industrial equipment OEMs face truck roll costs of $800-1,500 per dispatch when serving remote factory floors or offshore installations. A 28% repeat visit rate adds $2.8M annually for a 100-technician service organization. Travel time for repeat visits averages 3.2 hours per job—time that could resolve two additional work orders.
AI-assisted diagnostics cut repeat visits by 60% in the first year by identifying root cause before dispatch and pre-staging correct parts. This drops annual repeat truck roll costs from $2.8M to $1.1M. Faster mean time to repair prevents customer downtime penalties averaging $12K per day, protecting service contract renewals worth 18-22% of annual revenue.
Repeat truck rolls cost $800-1,500 per visit depending on distance, labor rates, and equipment complexity. For remote installations like offshore turbines or rural manufacturing plants, costs can exceed $2,000 when factoring in travel time, lodging, and opportunity cost of delayed work orders.
Multiply baseline repeat visit rate by total annual dispatches to get repeat truck roll count. Multiply repeat count by average truck roll cost to get baseline waste. Apply your FTF improvement percentage to calculate new repeat count and waste. The delta is your annual savings, minus platform cost.
Industrial equipment OEMs average 72% FTF for complex machinery like CNC machines, turbines, and compressors. Best-in-class operators achieve 85-90% through pre-dispatch diagnostics, parts prediction, and on-site decision support. Each 10-point improvement in FTF rate reduces annual service costs by $800K per 100 technicians.
AI cuts diagnostic time by 40% on-site by surfacing relevant service history, failure patterns, and repair procedures instantly. Technicians spend less time searching manuals and calling senior staff for guidance. This speeds mean time to repair from 4.2 hours to 2.5 hours, allowing each technician to complete 30% more work orders monthly.
Industrial equipment OEMs see payback in 8-14 months depending on service organization size and baseline FTF rate. A 100-technician team saving $2.4M annually in avoided repeat truck rolls, faster MTTR, and reduced SLA penalties typically recoups platform investment by month 11. Larger organizations with 200+ technicians see payback in 6-8 months.
How AI bridges the knowledge gap as experienced technicians retire.
Generative AI solutions for preserving institutional knowledge.
AI-powered parts prediction for higher FTFR.
See how AI-assisted diagnostics can cut repeat truck rolls and improve service margins for your equipment line.
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