Magic Software USA

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Irvine, CA
Magic Software USA

We are a technology integration business serving the US manufacturing industry.

11/06/2026

"Our teams already use Claude, Copilot, and other AI tools. Does Magic support that?"

We hear this question a lot, and the answer is simple: yes.

AI adoption rarely happens in a straight line.

One department standardizes on Copilot, another prefers Claude, and a third is experimenting with something new. That's not a problem to solve. It's a reality to support.

Magic's connected app marketplace includes all the major AI models, so you can bring the tools your people already use into your Magic platform deployment instead of forcing everyone onto a single choice.

In fact, many of our customers are already running blended models, using different AI engines side by side for different tasks, workflows, and teams, all within their Magic environment.

What that means for you:
✅ No need to pick one model and hope it fits every use case
✅ Teams keep the AI tools they're productive with
✅ Flexibility to adopt new models as the landscape evolves

Your AI strategy should match how your organization actually works. Magic is built to make that possible.

11/05/2026

The dirtiest job in Vancouver runs on the cleanest data.

West Coast Reduction is a recycling plant that collects used grease from coffee shops, fast food chains, and restaurants. Then they turn it into animal feed instead of letting it go to waste.

Their field crews run on a tight loop:

- Pull up the day's work orders
- Do the job
- Snap before and after photos
- Log proof of receipt

All of it syncs in real time. Work orders tie back to J.D. Edwards. Photos and receipts land in SharePoint.

Magic built the field app with Smart UX and runs it on Magic xpi, the same layer that already links their J.D. Edwards, SharePoint, HR, CRM, Active Directory, and file shares.

One stack, from the truck to the back office.

11/04/2026

Your floor has the data. Your ERP has the numbers.

They don't talk.

Until now.

Magic connects everything between the PLC and the P&L. Floor data goes up to the ERP. Schedules and orders come back down. Nothing touches the line without OT's say.

Here's what that looks like:

- Batesville Casket caught a failing saw bearing early and skipped a $50K-$100K saw replacement.
- Bandit Industries went from 2 grinders a month to 5, with no major capital spend.
- A medical device maker got about 15% more throughput.
- Coca-Cola Sorocaba synced SAP and its plant-floor MES both ways, in real time, with production reporting automated across 200M liters a year.
- Michelman took data accuracy from 40% to over 90%, saved 60+ hours a week, and saw ROI in under 10 months.

Start with one line. Prove it. Then scale.

11/03/2026

Most order entry is still typed manually.

91% of manufacturers still handle documents by hand.
80% of orders entered by hand have an error that has to be fixed later.
39% of B2B buyers work longer hours fixing order errors.

That's slow, and it costs you.

Magic Americas uses AI to read POs and enter orders for you. It's fast, accurate, and needs no retyping.

Order-to-cash, without the manual keystrokes.

11/02/2026

Most production schedules assume every machine has unlimited hours.

Then the mill is overbooked, a promise date slips, and the plan gets rebuilt by hand on Thursday night.

Finite capacity scheduling fixes that by only planning work the floor can actually run. Here's how to implement it:

1. Connect your data. Pull machine data through your OT network and historian so the scheduler sees what's really happening.
2. Clean up asset and routing data.
3. Define real capacity: shifts, maintenance, changeovers.
4. Set scheduling rules.
5. Connect the scheduler to ERP and MES.
6. Pilot on the bottleneck.
7. Reschedule on live events. When a machine goes down, the schedule updates.
8. Roll out and improve.

Start with one bottleneck, then roll out.

10/30/2026

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10/29/2026

Lots of data. Very little information.

A CIO at a major rubber manufacturer in Akron once told us: “I have tons of data, but I don’t have any information.”

That really describes where a lot of manufacturers are right now.

Companies are pouring money into every layer of the tech stack, from ERP all the way down to the plant floor. But many of them are making those investments without a solid time series database underneath. Without that foundation, it’s very hard to get real value out of anything you build on top of it.

The order matters:

1️⃣ Collect the data from the sensor, through the PLC level
2️⃣ Get it into a time series database
3️⃣ Wrap context around it so data becomes information
4️⃣ Then layer on the analytics, AI, and enterprise applications

Capture data at the source and build the foundation that every other technology depends on.

The flashy tools get the attention, but it’s the underlying structure for acquiring data that makes them work.

Start with the foundation first.

10/28/2026

Every plant has the data. Few have a clear line from that data to the numbers leadership actually tracks.

We mapped seven AI use cases that draw that line, starting at the PLC and ending at the P&L. Each one is tied to the system it runs on and the business result it moves.

If you’re trying to figure out where AI belongs in your operation, or how to justify it to finance, start here.

10/26/2026

Your best rep shouldn't spend the morning retyping POs.

Customers send orders as PDFs, scans and plain-text emails. Someone opens each one and keys it into the ERP, line by line. One wrong SKU and you're dealing with a mis-ship and an unhappy account.

Here's how our order entry app handles it:

1. A PO lands in your order inbox. Customers keep sending it the way they do today.
2. AI reads every line and checks it against your live ERP catalog and customer records.
3. A draft order waits for review, with low-confidence fields flagged. Your rep checks the flagged lines, not all fifty.
4. One click, and it's in your ERP as a real sales order with the source PO attached.

It works with Epicor, JD Edwards, NetSuite, SAP Business One, Sage, Dynamics BC and Infor, etc, and it connects by REST API with no changes to the ERP core.

Send us 3 real POs. We'll run them live.

10/23/2026

Learn more at magicamericas.com

Address

530 Technology Drive, Suite 100
Irvine, CA
92618

Website

https://magicsoftwareusa.com/

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