Niyojan
niyojan - planning, deliberate arrangement
Multi-plant production planning at enterprise scale.
At a glance
- Category
- Production Planning
- Theme
- Production Planning & Scheduling
- Industries
- Manufacturing, Automotive
- Capabilities
- 5 composed
- Pairs with
- Anvaya, Sankalp
Who it is for
- Multi-plant manufacturers
- Production planning and operations teams
- Automotive and industrial producers
Systems it sits on
SAP · Oracle · MES systems · APS tools
Also used in
Pairs with
Anvaya · Sankalp
Explainer
Niyojan in two minutes
A narrated walkthrough of the problem, how Niyojan works, and what changes. Captions are available in the player.
Niyojan plans production across dozens of plants at once, balancing demand, capacity, and constraints that no hand-built schedule can hold together. It optimizes across 60+ facilities, honors real limits like materials and capacity, and replans as conditions change – recovering the capacity and margin that manual planning leaves behind.
The problem
Planning production across dozens of plants by hand leaves capacity and margin on the table.
The outcome
Optimized scheduling across 60+ facilities, balancing demand, capacity, and constraints.
How it works
How Niyojan works
- 01
Model the network
Demand, capacity, and constraints across all plants are captured.
- 02
Optimize multi-plant
Schedules are solved across 60+ facilities together.
- 03
Honor constraints
Capacity, materials, and demand limits are respected.
- 04
Replan
Schedules adapt as conditions change.
Module 01
Multi-Plant Optimization
Schedule across 60+ facilities together.
- 02
Constraint Solving
Honor capacity, materials, and demand.
- 03
Replanning
Adapt schedules as conditions change.
- facilities planned
- 0+facilities planned
Integrations
Ideal for
- Multi-plant manufacturers
- Production planning and operations teams
- Automotive and industrial producers
- Networks planned largely by hand today
Capabilities
Niyojan composes these capabilities from the shared Agent Platform layer. The same atoms power the rest of the portfolio, so adopting a second accelerator reuses the integration work rather than repeating it.
Composition
Niyojan is assembled from shared platform atoms. Hover a partner to see what you reuse on the next deployment.
- Constraint Solving
- Schedules and allocations solved against real materials, capacity, tooling, and commitment limits.
- System Connectors
- MCP-connected reads and writes against the ERP, MES, PLM, CRM, and warehouse systems already in place.
- Forecasting
- Demand, degradation, and risk projected forward far enough that the response is a plan rather than a reaction.
- Scenario Simulation
- What-if modelling of a response before committing to it, with projected impact attached to every option.
- Workflow Orchestration
- Specialist agents coordinated across a multi-step process, each handing structured context to the next.
Reason
Ingest
Reason
Act
Act
FAQ
How many plants can it plan?
It optimizes across 60+ facilities simultaneously.
What constraints does it respect?
Capacity, materials, and demand among others – constraint solving is core to the engine.
What happens when conditions change?
Replanning adapts the schedule rather than forcing a manual rebuild.
Does it replace our MES or ERP?
No – it plans on top of your existing MES and ERP systems.