Manufacturing
Your shop floor data, finally connected
OEE in one place, job costing in another, BOMs in engineering — we unify what matters and give you live leadership views from a single question.
Schedule a demoSound familiar?
Try the demo: one prompt → full dashboard
Click a prompt. Charts and KPIs update for that scenario (sample data).
Generated from
“Show me OEE by production line and which Epicor jobs are behind schedule this week.”
- WO-4821 is 4 days behind — customer delivery at risk.
- Line E at 91% OEE — best in plant for the 3rd month.
AI-generated report (sample)
Plant OEE is 81%, up 3 points. Six Epicor jobs are behind schedule; WO-4821 drives the highest delivery risk. Line D at 69% OEE — schedule a maintenance review. Recommend daily stand-up on the six at-risk work orders.
Generated from
“What’s our scrap rate by work center vs last quarter?”
- WO-4821 is 4 days behind — customer delivery at risk.
- Line E at 91% OEE — best in plant for the 3rd month.
AI-generated report (sample)
Plant OEE is 81%, up 3 points. Six Epicor jobs are behind schedule; WO-4821 drives the highest delivery risk. Line D at 69% OEE — schedule a maintenance review. Recommend daily stand-up on the six at-risk work orders.
Generated from
“Which SolidWorks BOM revisions haven’t synced to Epicor in 7 days?”
- WO-4821 is 4 days behind — customer delivery at risk.
- Line E at 91% OEE — best in plant for the 3rd month.
AI-generated report (sample)
Plant OEE is 81%, up 3 points. Six Epicor jobs are behind schedule; WO-4821 drives the highest delivery risk. Line D at 69% OEE — schedule a maintenance review. Recommend daily stand-up on the six at-risk work orders.
Generated from
“Labor efficiency vs quoted hours for open jobs.”
- WO-4821 is 4 days behind — customer delivery at risk.
- Line E at 91% OEE — best in plant for the 3rd month.
AI-generated report (sample)
Plant OEE is 81%, up 3 points. Six Epicor jobs are behind schedule; WO-4821 drives the highest delivery risk. Line D at 69% OEE — schedule a maintenance review. Recommend daily stand-up on the six at-risk work orders.
Generated from
“90-day production capacity by work center.”
- WO-4821 is 4 days behind — customer delivery at risk.
- Line E at 91% OEE — best in plant for the 3rd month.
AI-generated report (sample)
Plant OEE is 81%, up 3 points. Six Epicor jobs are behind schedule; WO-4821 drives the highest delivery risk. Line D at 69% OEE — schedule a maintenance review. Recommend daily stand-up on the six at-risk work orders.
How we connect your systems
Plain English for IT and ops: these platforms expose supported paths so data can flow into your private RapidDashboard store — not through a public chatbot.
| System | What we pull | Connection path |
|---|---|---|
| Epicor ERP | Work orders, job costs, schedules, inventory | Official REST APIs — scheduled, audited sync into your secure environment. |
| JobBOSS² / ECi | Jobs, labor, quoted vs actual | Vendor-supported APIs and secure exports — mapped to your KPI model. |
| SolidWorks PDM | BOM revisions, ECO status, release state | PDM Web API / file vault events — so engineering truth matches the floor. |
What you can build
OEE & production
- Real-time OEE by line
- Downtime root causes
- Schedule adherence
Job costing
- Margin by job & customer
- Labor variance alerts
- Over-budget flags
Engineering
- BOM sync status
- ECO pipeline
- Revision risk
Automated reports
- Daily production summary
- Weekly quality
- Monthly capacity
Security note
Manufacturing data often includes customer contracts and drawings. RapidDashboard keeps it in a private data store with role-based access. Optional CMMC-aligned handling for defense suppliers. AI is optional and enterprise-grade — never used to train public models.