How much does AI production scheduling software cost?
AI production scheduling software is almost always sold as an annual subscription — typically priced per site or per user, scaling with your work centers, orders and integrations rather than a big one-time license. The bigger cost driver is implementation: legacy APS can take 6–12 months and heavy services, while modern AI tools start with a low-commitment pilot. Praxie begins with a free micro-pilot on your own data, so you prove ROI before you pay.
What drives the cost
- Scope — number of plants, work centers and orders scheduled.
- Users — how many planners and viewers need access.
- Integration depth — connecting to your ERP/MES for live orders and routings.
- Implementation vs. pilot — the single biggest swing; a pilot avoids a long services bill.
- Support & training — onboarding and ongoing help.
Subscription vs. implementation — where the money really goes
The subscription is the visible number, but with traditional APS the implementation often costs as much or more than the first year of software — data mapping, configuration and consulting across 6–12 months. Modern AI scheduling flips this: you validate value in a short pilot on real data, then subscribe, avoiding a large upfront services commitment.
How Praxie prices it
Praxie starts with a free micro-pilot — you bring your orders and routings and see a live schedule in days, at no cost. If it delivers, you move to a subscription scaled to your sites and users, with no heavy multi-month implementation.
See what AI-powered scheduling could look like for your operation.
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