The Factory Brain.
The orchestration layer between ERP and PLC — the one neither system covers. AI recommends. Humans approve. The PLC executes.
Seven domains, one planning layer.
Every recommendation is explainable and reversible — planners approve, override, and set priorities.
Sales
Demand prediction, order prioritisation, delivery prediction
Inventory
Stock optimisation, raw material alerts, reorder points
Production
Finite capacity scheduling, line balancing, shift planning
Maintenance
Predictive maintenance, planned downtime, spare-parts prediction
Quality
Vision inspection, root-cause suggestions, rework prediction
Dispatch
Truck planning, delivery ETA, route consolidation
AI never replaces the PLC. It makes PLC-driven factories smarter. Cloud, hybrid, or fully on-premise — 4 to 12+ weeks to deploy.
Human
Approves, overrides, sets priorities
Factory Brain · AI
AI planning · scheduling · optimisation · recommendations
Business & operations
ERP · MES · Inventory · CRM · Purchase · Maintenance · Quality · Dispatch
Deterministic control
SCADA · PLC · CNC · Sensors · Vision systems
Machines
Lines, cells, tooling, plant
- 10–20%
- less machine idle time
- Better scheduling
- 15–30%
- less scheduling effort
- AI-assisted planning
- Lower
- inventory carrying cost
- Demand prediction
- Improved
- on-time delivery
- Dynamic dispatch
Schedules built in spreadsheets
Planners re-plan by hand whenever an order or machine changes
Unplanned downtime
Breakdowns found after the line stops, not before
ERP says one thing, the floor another
No layer reconciling plan against actual production
Quality caught late
Defects found at final inspection rather than at the cell
Inventory buffered on instinct
Safety stock covering for forecasts nobody trusts
Expertise walking out the door
Scheduling knowledge held by a handful of people
Industry validation: Siemens, ABB and Hitachi all orchestrate above the PLC rather than replacing it — AI predicts and recommends, automation executes, humans approve.
Cloud
Fastest, usage-based
Hybrid
On-premise data, 4–8 weeks
On-premise
Fully in-house, 8–12+ weeks
Bring us one line, one plant, one planning problem.
We baseline idle time and scheduling effort before we start, and report against them after we ship.
© 2026 Nunnari Labs Private Limited