Production tracking software that explains every order change
Connect each production update to the order, operation, shift, quantity, reason, owner, and review so managers can distinguish real progress from stale reporting.
Production tracking begins with trustworthy events. A dashboard is useful only when its numbers open the records that produced them.
Free for up to five users. No credit card required.
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- Operation-level progress events
- Good output, scrap, downtime, and holds
- Freshness and exception ownership
Turn scattered updates into an explainable production history
Every event should answer where the work was, what happened, what quantity changed, and whether someone must respond.
- Start
Operation begins
Order, operation, line, shift, operator, and timestamp establish the working context.
- Progress
Partial output is reported
Accepted quantity, scrap, remaining work, and current blocker update the order view.
- Exception
Downtime or hold interrupts flow
Reason code, minutes, severity, evidence, and review owner create actionable work.
- Resume
Recovery is acknowledged
The team records the decision, restart time, residual risk, and next expected update.
- Complete
Output moves to review
Final quantities and required evidence feed quality or production closeout.
Separate progress, loss, and data freshness
A single “in progress” value can hide a stopped operation, unreported output, or a quality hold.
Actual quantity below plan
The reported accepted output has not reached the planned quantity
Latest operation events, scrap, hold, and remaining work
No recent update
The record may be stale; it does not prove production stopped
Last event, expected update cadence, and responsible owner
Downtime minutes
A reported interruption affected the operation
Reason, start/end, evidence, response, and recovered state
Quality hold
Output or process awaits disposition
Affected quantity, quality owner, decision, and release evidence
Give each role the slice required for its next decision
Do not force operators, supervisors, planners, and managers through the same oversized screen.
Operator update
A compact form for event type, order, operation, quantity, reason, time, and evidence.
Optimized for the point of work.Supervisor queue
Running, paused, held, and overdue updates by line, shift, owner, and severity.
Optimized for intervention.Planner view
Actual progress and blockers beside schedule or promise context.
Optimized for replanning decisions.Manager dashboard
Plan attainment, loss events, freshness, and trends with direct order and event drill-down.
Optimized for control and learning.
Choose the source of each event before building the dashboard
Human forms, barcode scans, integrations, and machine signals can coexist, but ownership and timing must be explicit.
Operator form
Low-volume decisions, reasons, evidence, and contextual updates
Can the form be completed quickly and safely at the point of work?
Barcode or identifier scan
Fast order or asset lookup before completing an update
Which identifier is authoritative and how are duplicates prevented?
ERP / MES integration
Orders, status, material state, or actual events already maintained elsewhere
Direction, frequency, failure handling, and conflict ownership
Machine data
High-frequency telemetry and automatic state changes
Use appropriate MES/SCADA/IoT depth; summarize only actionable signals in Jodoo
Build trust in the event trail before calculating more KPIs
Reliable timestamps, identifiers, quantities, and reasons matter more than decorative charts.
What is production tracking software?
It records and exposes the current progress of production orders and operations, including status, quantities, time, loss events, ownership, and completion evidence.
How is production tracking different from monitoring?
Tracking focuses on the order and event history. Monitoring focuses on current signals, thresholds, trends, and interventions across many records.
Can operators update production on mobile?
Yes. Use short, role-specific forms with appropriate choices, scans, numbers, dates, attachments, and conditional fields rather than squeezing a desktop dashboard into a phone.
How do we avoid stale data?
Define the expected update cadence, record the latest event time, assign the owner, surface overdue updates, and distinguish “no update” from a real stopped state.
Connect progress updates to the decisions they should trigger
Place production events inside the wider loop for schedule changes, holds, recovery work, shift handoff, dashboard review, and closeout.
Report progress, loss, recovery, and completion on one order
Open the app, enter representative operation events, and confirm that supervisors and managers can reach the order, event, or hold behind every signal.