Optimization · Simulation
Know what to do next.
Move from knowing what is happening to knowing what to do next — evaluating scenarios and recommending better actions against your constraints and objectives.
Move from knowing what is happening to knowing what to do next — evaluating scenarios and recommending better actions against your constraints and objectives.
Demand up 15%, a supplier five days late — the demand-versus-supply chart redraws instantly and the shortfall turns red, with service level and stock-out risk beside it.
The AI tests the combinations and suggests the next-best actions with impact and confidence — move stock between warehouses, expedite an order, add a shift. Apply one, or all three.
The dashboard keeps reading from Sales, Inventory and Purchasing, so you see the result of every decision as it lands.
Use the menu on the left, or the tabs below — every screen is a page of the product, with sample data.
What-if planner. The what-if planner: slider, shortfall and the AI’s applied actions.Constraints. The limits the AI must respect, and which of them are binding.Recommendations. Every suggested action ranked by impact, with confidence and cost.Simulations. Every what-if run saved and comparable, so decisions can be reviewed.
Scenario, figures and suggestions on these screens are sample data to show the idea.
