Capacity module
Production, labor, and supplier capacity in one system. The answer to "can we say yes" in seconds, backed by numbers your operations team can stand behind.
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Schedule work centers, labor, and lines against the plan you actually intend to run — in days, not weeks.
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See which lines, work centers, and suppliers tighten first as volume moves, before the customer call.
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Model a new order, a new SKU, or a new distribution win. The system doesn't just show the constraint — it shows the move that clears it.
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Right-size raw, WIP, and finished goods, and rebalance supplier commitments before they break.
Windows are set in working days against your plant calendar, so five working days lands on the right five days. Frozen work never moves. Slushy work resequences within its own day. Everything beyond re-optimizes freely.
Every planning run is recorded: what changed, how many orders were late before and after, and how many improving moves the freeze refused rather than took. The count is exact, not estimated.
Rate-based feasibility across 6 to 16 months answers whether the plan fits. The finite schedule answers in what order. The product states where one hands off to the other.
The plan is driven by demand, not by an orders file. For every item in every period, demand resolves as the greater of the forecast and your open orders, never the sum, so you do not double count what a customer has already ordered. An optional time fence lets orders alone drive the near term while the forecast drives the horizon, and every period states which rule won.
We connect to your ERP, spreadsheets, or supplier feeds. No rip-and-replace.
The Capacity module returns a production plan with the constraints and rescue moves called out.
Commit the plan, export the schedule, or push the recommended moves into your existing workflow.
Proof
A $50M mid-market manufacturer had one week to answer a distribution offer that would double their peak volume. The Capacity module reran the production plan, exposed the two work centers that tightened, and returned a defensible commit in 30 seconds instead of three weeks of spreadsheet wrangling.
See the full example →15 years in supply chain at Walmart, Campbell's, and Kimberly-Clark.
A 20-minute demo run against a real mid-market dataset. No data prep, no commitment.
15 years in supply chain at Walmart, Campbell's, and Kimberly-Clark.
If you sign up and BetterDemand doesn't pay for itself in year one — every dollar back.