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AI scheduling for made-to-order manufacturing

Stop losing margin to inefficient scheduling. Complete more orders per machine every day with AI that works with the systems you have already.

Orders Completed Daily
100
Additional yearly revenue
$327,500

See how much extra revenue your business can generate each year

$361,350Per year

How we calculate this: Orders/day × Avg. order value × 11% uplift × 365 days
Conservative midpoint of our 8–14% pilot range — recovered no-shows, tighter machine packing, fewer dead miles.

Why schema0

Plug straight into your system to:

schema0
Boost revenue by 11% a year
Revenue

Boost revenue by 11% a year

Based on 3,687 more orders shipped in one year.

Reduce late orders by 66%
Customer

Reduce late orders by 66%

Hit promised ship dates with smarter, real-world production planning.

25% less planning time
Admin

25% less planning time

Save your scheduling team 65 hours a week — so they can focus on the important stuff.

Features

Stay on top of the shop floor and ship more orders

Plan smarter

Better plans in minutes, not hours.

Instantly schedule production by factoring in setup times, machine capacity and operator availability.

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In-day planner

Adapt the day in seconds.

schema0 re-plans on the fly when things change — rush orders, breakdowns, last-minute changes.

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Track machine performance

Improve shop floor performance across the board.

schema0 helps you track how efficient your machines are and helps your team assign the right work.

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Process

How it works

01

Pull orders from your ERP and connect your machine and MES data.

02

schema0 will automatically schedule work across your machines for the next day.

03

If things change on the day, schema0 will adapt and re-plan the schedule.

04

Uncover insights into your production scheduling performance over time.

AI technology, backed by real people.

Pick up the phone to see how schema0 can schedule your shop floor.

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FAQs

Popular questions

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Yes, schema0 has been designed specifically for made-to-order manufacturers. We interviewed hundreds of plant leaders and schedulers to understand how production planning works today and trained our model with this in mind.