Interactive product experience

See how Manufacturing Copilot connects the plant floor.

Follow a complete production workflow—from login and hourly entry to supervision, quality, reporting, administration, engineering, and future AI capabilities.

Explore Modules
9Tour modules
LiveSimulated KPIs
Role-basedPlant workflows
Manufacturing Copilot
TOUR LIVE
PLANT INTELLIGENCE Connected Operations
1st Shift
OEE84.6%▲ 3.1%
Good Pieces12,480Across 18 jobs
Downtime43 minTop loss: changeover
Shift AttainmentActual vs target
Machine StateCurrent
Press 14Running
Press 07Changeover
Trim 03Attention
Production Saved10:00–11:00
!
Supervisor AlertPress 07

Guided walkthrough

One workflow. Every role connected.

Step 1 of 9
Step 1 · Login

Start with the right operator, shift, department, and machine context.

Manufacturing Copilot opens with role-aware access so each person sees the tools and information appropriate to their job.

  • Employee and operator identification
  • Department, machine, and shift context
  • Role-aware navigation foundation
  • Fast plant-floor workflow entry
Step 2 · Dashboard

See production, OEE, downtime, quality, and risk in one view.

The dashboard converts hourly plant-floor activity into a live operational picture for supervisors and leaders.

  • OEE and quality KPIs
  • Hourly production attainment
  • Machine status and shift risks
  • Immediate performance visibility
OEE84.6%▲ 3.1%
Production12,48097% of plan
Quality98.2%Within target
Downtime43 minShift total
Step 3 · Production Entry

Capture the production hour without slowing the operator down.

The active job, machine, operator, shift, production hour, and target remain in context while the operator records results.

  • Automatic current-hour selection
  • Job-specific target loading
  • Good, scrap, and rework entry
  • Downtime reason capture
Active JobMC-10482
Press 14Rubber1st Shift

Step 4 · Supervisor

Manage the shift from a live production command center.

Supervisors can quickly identify missed targets, changeovers, stopped equipment, and departments that need attention.

  • Machine state visibility
  • Department-level attainment
  • Shift staffing and escalation foundation
  • Prioritized operational attention
Press 14Running94% attainment
Press 12Running88% attainment
Press 07Changeover18 minutes
Trim 03AttentionQuality hold
Preform 02Running101% attainment
Assembly 04Behind Plan82% attainment
Step 5 · Quality

Turn scrap and rework into focused improvement priorities.

Quality losses remain linked to the exact job, machine, operator, department, shift, and production hour.

  • Defect and reason tracking
  • First-pass yield visibility
  • Pareto and trend analysis foundation
  • Traceable corrective-action support
98.2%First-pass yield
Flash42
Short Mold31
Contamination18
Bond Failure10
Step 6 · Reports

Convert shift data into consistent operational reporting.

Daily production, downtime, OEE, quality, and operator performance reports help teams review results without rebuilding spreadsheets.

  • Daily and shift summaries
  • OEE and downtime reporting
  • Operator and machine performance
  • Executive reporting foundation
PDF
Daily Production SummaryJuly 25, 2026
PDF
Shift OEE Report1st Shift · Plant 01
PDF
Downtime ParetoWeekly operational review
Step 7 · Administration

Manage the system as a commercial manufacturing platform.

Administration brings master data, licensing, updates, health, migrations, users, and long-term support controls together.

  • Users and role assignments
  • Machines, departments, standards, and targets
  • Licensing and update controls
  • Database health and migration tools
System HealthHealthy
Database Version1.0.0
License StatusActive
Update ChannelStable
Automatic BackupPlanned
Step 8 · Engineering

Bring planning, cost, capacity, and uncertainty analysis into the platform.

Engineering tools are part of the long-term Manufacturing Copilot vision and will be introduced as commercial modules mature.

  • Cost and process estimation
  • Joint confidence level analysis
  • Monte Carlo schedule and cost simulation
  • Capacity and manufacturing planning
Monte Carlo Simulation 10,000 trials
P80 completion confidence · 87 days
Planned Module
Step 9 · AI Vision

Move from reporting what happened to recommending what to do next.

Future AI capabilities are envisioned to detect losses, answer manufacturing questions, summarize performance, and recommend action.

  • Natural-language plant reporting
  • Predictive downtime insights
  • Quality risk detection
  • Recommended operational actions
Why did Press 07 miss target this shift?

Press 07 lost 32 minutes during changeover and 14 minutes waiting for material. The largest recoverable opportunity is reducing changeover duration toward the 20-minute standard.

Review changeoverCompare prior shiftsCreate improvement task
Future Capability

Feature explorer

Explore the platform by capability.

Select a capability to see how it contributes to the connected manufacturing workflow.

Production Execution

Capture production performance at the source.

Operators record hourly output, scrap, rework, and downtime while the active job, target, shift, machine, and department remain in context.

Primary outcome Reliable hourly data Less paper, fewer manual summaries

Connected manufacturing flow

Data moves once. Every role gains visibility.

01OperatorCaptures actual production
02ProductionStructures hourly performance
03QualityLinks defects and losses
04SupervisorResponds during the shift
05LeadershipActs on consistent reporting

Ready for the next step?

Bring your current production workflow into the conversation.

We can map your departments, machines, shifts, paper forms, targets, quality process, and reporting needs to the Manufacturing Copilot platform.

Request a Demo