Dovient

Automotive Manufacturing

One line goes down. The whole plant feels it. Takt time doesn't wait.

Dovient gives automotive plants a maintenance copilot that tracks line health, predicts failures across press, paint, and assembly, and keeps production running to takt.

We'll get back within a business day.

When one line stops

Every downstream station feels it in seconds

Takt time doesn't wait for repairs. Dovient predicts failures before they cascade, keeping your entire plant running to takt.

The business case

Unplanned downtime costs automotive plants $22,000+ per minute. Most of it is preventable.

Plants that shift from reactive to predictive maintenance see measurable results within the first quarter. Here's what industry data shows:

37%

less unplanned downtime

Deloitte Predictive Maintenance Study, 2022

25%

lower maintenance costs

McKinsey Operations Practice, 2023

10x

ROI on predictive maintenance

Aberdeen Group

For a mid-size automotive plant, that translates to roughly $500K to $2M in annual savings from avoided line stoppages, reduced scrap, and fewer emergency repairs.

What we monitor

The equipment that keeps your lines running

Automotive assembly line with conveyors, stations, and tooling

Assembly Lines

Conveyors, stations, and tooling orchestrated for takt. Condition monitoring, cycle drift detection, and early warnings for mechanical wear.

Welding and painting robots in an automotive plant

Robotic Systems

Welding and painting robots operating at high speed. Joint torque tracking, path accuracy monitoring, and calibration scheduling.

High-tonnage stamping press in an automotive manufacturing facility

Stamping & Press Lines

High-tonnage presses under extreme mechanical stress. Press health monitoring, die wear tracking, and lubrication anomaly detection.

Sound familiar?

Line stoppages cascade

A single robot cell goes down and the entire body shop backs up. Downstream paint and assembly lines idle while maintenance scrambles. JIT schedules don't have buffer for reactive repairs.

Skilled labor shortage

The technicians who understood legacy stamping presses and paint booth robotics are retiring. New hires take months to get up to speed, and the knowledge gap grows with every departure.

Multi-line scheduling impossible

Body, paint, and assembly lines are interdependent. Scheduling maintenance on one without disrupting the others requires institutional knowledge that's rarely documented.

How Dovient works

An AI copilot that understands automotive production, takt time, and multi-line dependencies

Dovient connects to your existing equipment, CMMS, and sensor data. The AI agents learn your plant's patterns and proactively manage the work your team shouldn't have to do manually.

1

Predictive monitoring for presses and robots

Agents track servo torque, vibration signatures, and thermal patterns across your press lines and robot cells. Work orders are generated with probable root causes before failures occur.

Catches failures 2 to 4 weeks before they cause line stops.

2

JIT maintenance aligned to takt time

Maintenance tasks are scheduled into natural takt buffers, shift changes, and planned changeovers. No more emergency repairs during production runs.

Maintenance fits into production, not the other way around.

3

Multi-line dependency tracking

The system understands how body, paint, and assembly lines interact. When one line degrades, downstream impacts are flagged before they cascade.

Prevents cascading failures across interconnected lines.

4

Tribal knowledge capture for complex setups

Every repair, adjustment, and workaround is captured in a searchable knowledge base. New technicians get guided procedures instead of learning by trial and error.

Cuts new hire ramp-up time by 50%.

Outcomes

What changes in your first 90 days

Robot teach-pendant adjustments undocumented

Robot teach-pendant adjustments logged automatically with before/after parameters

Line stoppages discovered when downstream stations idle

Line stoppages predicted before they cascade across departments

Changeover procedures vary by shift and operator

Changeover procedures standardized across all shifts and lines

Maintenance scheduled when equipment breaks

Maintenance scheduled in planned windows, not during production

See it on your equipment

We'll walk you through a live demo configured for automotive manufacturing: line monitoring, predictive alerts, and changeover optimization. 30 minutes, no pitch deck.

Prefer to pick a time yourself? Book a demo directly