Downtime tracking, run on a platform you build yourself.
Collecta lets you capture and analyze machine downtime in one place. You log downtime events as custom records with reason codes, automate escalation when stoppages run long, and ask a Claude-powered AI agent to identify the biggest downtime drivers and trends across lines and shifts.
Why downtime tracking is hard today
Downtime is recorded inconsistently — if at all — so the real cost of stoppages is invisible. Reason codes vary by operator, prolonged outages do not escalate fast enough, and there is no reliable data to drive OEE improvement.
Modules, automation & AI — working together.
Build the data model, automate the busywork, and reason over it all with the AI agent.
Build a Downtime Events module with status, machine (relation), reason code, start/end timestamps, and formula fields that compute duration and lost output.
Stream machine state from IoT or your line so a stop automatically opens a downtime record, and let operators tag the reason from a controlled status field.
Automate escalation: when a stoppage exceeds a duration threshold without resolution, notify the supervisor and open a maintenance work order.
Ask the Claude AI agent to rank downtime by reason, machine and shift, quantify lost output, and recommend where to focus OEE improvement.
What you get with Collecta.
Questions about downtime tracking.
See downtime tracking running on your data.
Book a demo and we'll build the module, wire an automation, and run the AI agent on your own downtime tracking workflow.