Finite-capacity supply plans across every echelon - with the cost of every expedite, split, and substitution on the label, before a planner commits to it.
One solve across capacity, materials, and labor - and when it does not fit, the cheapest way to make it fit is already priced.
Capacity, materials, and labor constrained in a single run, so the plan that gets published is one the network can deliver.
Requirements exploded across plants, co-packers, and DCs with real lead times, calendars, and minimum runs respected.
When supply is short, attribute-based allocation applies customer tier, margin, and contract commitments consistently.
Every expedite, split, and substitution priced against the miss it avoids, so the cheapest way to protect service is obvious.
Each late line traced to the specific machine, material, or crew that caused it - no more hunting through the solve.
The same model runs rough-cut for the S&OP cycle and detailed for the week ahead. One set of constraints, no reconciliation.
Routings, bills of material, capacities, and calendars pulled from your ERP and MES. Data quality scored automatically.
Constraints modeled and the solve validated against the last two published plans - feasibility proven before anything goes live.
Planners publish a constrained plan with DemandLabs AI alongside. Value assessment lands with your CFO in week ten.
A plan the plants cannot build is not a plan. It is a forecast with a due date attached.