“Inspectly360 transformed how we manage site safety inspections. The offline capability alone saved us countless hours. Our compliance rate jumped from 72% to 96% in just three months.”
Sarah Mitchell
Meridian Construction Group
Downtime Tracking Software
Looking for downtime tracking software built around how your line runs? We provide it. Inspectly360 delivers a tailored downtime solution on our mobile platform, configured to your machines, reason codes, and shifts. Book a demo to scope it.
Configured to Your WorkflowFree Setup & OnboardingDedicated Support
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Quick Answer
Downtime tracking software records when, where, how long, and why equipment or production stops, and turns that into the analysis that reduces it. Inspectly360 provides a downtime solution tailored to your operation, built on our mobile capture and analytics platform and configured to your machines, reason codes, and shifts.
What Is Downtime Tracking Software, and How Does Inspectly360 Provide It?
When downtime is logged on paper or in a spreadsheet, it is recorded late and vaguely. Reasons are guessed, duration is rounded, and nobody can say which machine, shift, or cause is losing the most production, so the same downtime recurs unaddressed.
How It Works
How Do We Deliver Your Downtime Solution?
We deliver your downtime solution in five steps, from scoping your reason codes to rollout and support.
- 1
Scope Your Lines and Reason Codes
We map your machines, shifts, and downtime reason codes, so the solution matches how your operation actually loses and records production time.
- 2
Configure Event Capture
We build downtime event capture on the platform with reason classification, duration, and planned versus unplanned, on any device at the line.
- 3
Set Analysis and Corrective Actions
We configure downtime trends, equipment comparison, root cause investigation, and corrective actions, so recurring downtime is understood and reduced.
- 4
Pilot on One Line
You run the solution on one line, so capture, classification, and analysis are proven before it scales.
- 5
Roll Out and Support
We roll the solution across your lines and support it, with downtime dashboards live for your production team.
What Does Downtime Tracking Cover?
Downtime tracking covers capturing and analysing downtime events and their causes: event capture, reason codes, duration, availability, trends, and corrective actions. The scope below is what the platform runs, distinct from general maintenance and from OEE.
What Gets Checked
- downtime event capture at the line
- reason codes and planned versus unplanned
- duration and machine availability
- downtime trends and equipment comparison
- root cause investigation of recurring downtime
- corrective actions and downtime records
Common Defects It Surfaces
- downtime logged late and vaguely
- reasons guessed and unclassified
- duration rounded and losses understated
- no view of which machine or cause loses most
Evidence Captured
- downtime event record with reason and duration
- downtime trend and comparison dashboard
- corrective actions on recurring downtime
Templates align toyour downtime reason-code standardavailability targetsOEE methodology where used
Rollout
Rolling Out Downtime Tracking Software
Where Does Inspectly360 Sit Beside Your MES or ERP?
Inspectly360 is the downtime capture, analysis, and action layer beside your MES or ERP, not a replacement for them. Your MES can run production and your ERP can hold orders and cost. Inspectly360 owns the downtime workflow: event capture, reason codes, duration, analysis, and corrective actions. Downtime data links back to the machine and line, so the analysis and its actions sit beside your systems of record without duplicating them.
What Should Production Teams Validate Before a Pilot?
Validate four things during the pilot rather than after. First, that downtime events can be captured at the line with reason codes and duration. Second, that planned versus unplanned is distinguished. Third, that dashboards compare machines, shifts, and causes. Fourth, that recurring downtime drives corrective actions. Run one line so the capture, classify, and analyse loop is proven before it scales.
Security, Roles, and Records
Downtime data informs production and maintenance decisions, so its integrity matters. Inspectly360 enforces role-based access so operators capture events, supervisors review causes, and leadership sees losses across lines. Events, reasons, durations, and actions are logged and retained for the period your operations require, so any claim about downtime or its causes can be traced to its evidence with time and author preserved.
Rollout Across Lines
A downtime rollout works best line by line rather than all at once. Start with the line losing the most production, prove the capture, classify, and analyse loop there, then extend. Existing reason codes import so teams do not start empty. Because the configuration is data rather than code, each line can carry its own machines and codes while downtime rolls up to one view for production leadership.
Capabilities
What Downtime Tracking Software Covers
What Downtime Tracking Software covers for your team.
Comparison
What Changes with Inspectly360
Teams comparing Inspectly360 to paper and spreadsheets for downtime see the difference on five points: capture, reason accuracy, duration, analysis, and recurrence.
| Capability | Without Inspectly360 | With Inspectly360 |
|---|---|---|
| Capture | Downtime is logged late and vaguely, so events and causes are lost. | Downtime events are captured at the line, so what stopped and why is recorded accurately. |
| Reason accuracy | Reasons are guessed, so downtime cannot be classified or trended. | Reasons are classified with codes, so downtime is analysable by cause. |
| Duration | Duration is rounded, so production losses are understated. | Duration is measured, so losses and availability are accurate. |
| Analysis | Nobody can say which machine, shift, or cause loses the most, so effort is misdirected. | Dashboards compare machines, shifts, and causes, so effort targets the biggest losses. |
| Recurrence | The same downtime recurs unaddressed, so losses persist. | Recurring downtime triggers root cause and corrective actions, so causes are removed. |
One Platform. Mobile-First. AI-Powered.
Manage every checklist in one connected workspace, capture evidence on mobile at the point of work, and let AI turn field inputs into clear, stakeholder-ready reports in minutes.
Collaborate
Collaborate with your team anytime, anywhere
See which checklists your team has in progress across every site, jump into the same inspection with one tap, and keep field, supervisor, and back-office views in sync without sending screenshots on WhatsApp.
- Organise inspection data by site, team, and date
- Assign checks to the inspector or vendor responsible
- Track completion across every location in one view
- Keep field and back-office in sync in real time
- Comment on findings without leaving the inspection
Custom Reports
Custom reports that guide your decision making
Every team reports differently. Build the report your operations, quality, or compliance leads actually want to read, share it as a branded PDF, and schedule delivery to the stakeholders who need it.
- Branded PDF and CSV export from any completed inspection
- Schedule weekly or monthly delivery to managers and clients
- Share to email, Drive, Teams, or Slack in one click
- Filter findings by site, severity, or corrective-action status
Powerful Analytics
Analyse your inspection data with confidence
See completion, pass rate, and recurring findings across every checklist and every site, without pulling spreadsheets together at the end of the month.
Who It's For
What Teams Get from Downtime Tracking Software
What changes once downtime tracking software is standardised on Inspectly360.
- Downtime events are captured at the line, so what stopped and why is recorded accurately, not late and vaguely.
- Reasons are classified with codes, so downtime is analysable by cause rather than guessed.
- Duration is measured, so production losses and machine availability are accurate.
- Dashboards compare machines, shifts, and causes, so effort targets the biggest losses.
- Recurring downtime triggers root cause and corrective actions, so causes are removed rather than repeated.
- We configure the solution to your machines and reason codes, and roll it out across your lines.
Reviews From Real People
4.5/5TrustpilotBased on 3,987 reviews
What our
customers are
saying
“The AI-powered defect detection has changed how we work. Our inspectors capture photos and the system flags issues we'd have missed. It's like having an expert reviewer on every site visit.”
James Chen
Pacific Manufacturing Co.
“Rolling out digital checklists across multiple projects gave us instant visibility into recurring safety issues. We now resolve critical findings in hours instead of days.”
Olivia Carter
Northbridge Infrastructure
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Frequently Asked Questions About Downtime Tracking Software
How is this different from OEE software?
They are related but distinct, and this page is deliberately about downtime, not overall equipment effectiveness. OEE software measures effectiveness across three factors: availability, performance, and quality. Downtime tracking software focuses specifically on the availability side and the reasons behind it: when equipment or production stopped, for how long, and why, classified by reason code so the causes can be analysed and reduced. Downtime data is a major input to OEE, so the two connect, but downtime tracking answers the specific question of what is stopping the line and why, in a way a single OEE number does not. Inspectly360 can provide both as connected solutions, so downtime feeds OEE without either repeating the other. If your need is capturing and reducing downtime and its causes, this is the right page.
How do you deliver a downtime solution on a platform?
We build your downtime solution on the Inspectly360 platform and configure it to your operation, rather than handing you a fixed product. Our team scopes your machines, shifts, and reason codes, configures the event capture, classification, duration, analysis, and corrective actions to match, and rolls it out with a pilot line first. Because the platform is built for configurable mobile capture, analytics, and workflows, a downtime solution tailored to your process is delivered without custom code. You get software shaped to how your operation actually loses and records production time, supported by our team, rather than the paper logs and spreadsheets where downtime is recorded too vaguely to act on.
Does it capture reasons and reason codes?
Yes, and this is what separates useful downtime data from a list of stoppages. When a machine or line stops, the event is captured at the line with its reason classified using your reason codes, and marked as planned or unplanned, so every downtime event carries the cause rather than just the fact that it happened. That classification is what makes the data analysable: you can see how much time is lost to changeovers versus breakdowns versus material shortages, by machine and by shift, rather than a single undifferentiated downtime figure. Because reason codes are configured to your operation, the categories match how your team actually thinks about downtime, and capturing the reason at the moment, while the operator knows what happened, is far more accurate than reconstructing it later. Reason codes turn downtime from a number into an improvement roadmap.
Does it show which machines and causes lose the most?
Yes, and that is the point of tracking downtime rather than just logging it. Because every event carries a machine, a shift, a reason code, and a measured duration, the solution can compare where production time is actually being lost: which machines have the most unplanned downtime, which shift performs worst, and which causes account for the biggest losses. That comparison is what directs improvement effort at the biggest wins rather than the most visible or the most recent problem, which is how downtime effort is usually misallocated. Recurring downtime patterns can then be investigated for root cause and driven to corrective actions, so the causes are removed rather than repeated. Turning downtime into a ranked, comparable picture of losses by machine, shift, and cause is exactly what lets a production team reduce downtime systematically instead of firefighting individual stoppages.
Does it connect downtime to root cause and corrective actions?
Yes. Capturing and analysing downtime only reduces it if the causes are actually addressed, so recurring or significant downtime can be investigated for root cause and turned into tracked corrective actions, which closes the loop between measuring the problem and fixing it. A machine that repeatedly stops for the same reason, or a cause that consistently drives losses, becomes an investigation and an owned action rather than a number on a report nobody acts on. Because downtime events, their analysis, and the resulting actions sit together and roll up across lines, a production or maintenance lead can see not just where downtime happens but whether the actions taken are actually reducing it over time. Connecting downtime data to root cause analysis and corrective actions is what turns downtime tracking from a measurement exercise into a genuine driver of improved availability and reduced production loss.
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