Stop scheduling by memory.
Plant Pilot turns live backlog, material availability, crew coverage, machine capacity, routing rules, and changeover penalties into an explainable, publish-ready production schedule.
Built for divergent manufacturers running high-SKU, high-changeover, constraint-heavy production.
Schedulers know the plant. Plant Pilot captures the logic.
Schedulers spend 2–3 hours every morning sequencing production by memory. They know the plant, but the logic is trapped in their head, spreadsheets, tribal rules, and disconnected systems. Plant Pilot captures that operating logic, reads the live constraints, ranks schedule moves by ROI, and lets planners publish a better schedule with explanations and audit history.
Live → Draft → Published.
The Plant Pilot demo prioritizes one clean flow. See the live schedule, load pending orders, review ranked recommendations, then publish to ERP.
See what's running now
Five workcenter swim lanes, job cards, changeover badges, baseline KPI strip, and a Gantt timeline of currently scheduled jobs.
Review ranked AI moves
Pending jobs appear as amber ghost cards. AI recommendations are sorted by ROI. Apply one, apply all, or override. KPI strip updates live.
Approve and write back
Ghost jobs become solid. KPI strip locks. Published to ERP banner appears. The decision journal logs the approval and predicted impact.
A schedule board built for divergent plants.
Workcenter swim lanes
Five lanes covering Injection, CNC, Assembly, Coating, and Quality — each with current and queued jobs.
Ranked AI recommendations
Every recommendation is explained: what changes, why it matters, what it saves, and what risk it reduces.
Changeover badges
Sequence-dependent setup penalties show between jobs — and disappear when the AI clusters them.
Job detail drawer
One click into any job exposes routing, material, blockers, due date, and recommended moves.
Gantt timeline
Solid bars for live jobs, dashed bars for draft ghosts, due-date markers, and downtime windows.
Decision journal
Every load, apply, reject, override, draft reset, and publish is logged with predicted and actual impact.
The math behind the schedule.
Changeover rules are customer-configurable and plant-specific. Plant Pilot ships with a starter rule set you can tune.
These rules combine into the sequence-dependent setup model that drives every recommendation. The published model includes width, compound, thickness, family, tooling, and crew constraints.
What the demo model produces.
Proof points reflect the active Plant Pilot demo model and plant-specific changeover economics. Customer results depend on data quality, routing complexity, constraint rules, and implementation scope.
Open Plant Pilot with a live demo model.
No setup, no credentials. Run the Live → Draft → Published flow against a real divergent-plant demo dataset.