Order intake automation
POs parsed from email, checked against pricing and capacity, and entered — with confirmations going back the same hour.
Olvoma · Industries · Manufacturing
The floor and the office, finally in sync
The shop floor knows things the office finds out on Friday. We build the systems that move orders, materials, and status in real time — without asking the floor to become data-entry clerks.
01Where the day goes
The hours nobody budgets for
Orders
Customer POs arrive as PDFs and get retyped into the system — slowly, and sometimes wrong.
Purchasing
Material gets ordered from a gut feeling, and the gut is on vacation the week it matters.
Floor status
Where's job 4712? Somebody walks out to look. The answer expires in an hour.
Promises
Ship dates get promised from hope, and the expedite fees eat the margin.
It's not a discipline problem. The floor and the office are running on different facts.
02What we build here
Built for manufacturing
Purchasing signals
Material needs computed from real orders and lead times, with draft POs ready when the reorder point actually arrives.
Shop-floor visibility
Job status captured at the operation level with minimal touches — scans, not typing — and visible to the office live.
Production dashboards
Schedule health, WIP, on-time rate, scrap, and machine load — one screen, current, drillable to the job.
03Example systems
Systems we would put in
Honest examples, not case studies: this is what a first working system typically looks like in manufacturing, and the effect we'd agree to measure it by.
PO-to-order pipeline
Incoming customer POs read, validated, and entered with exceptions flagged — order acknowledgment sent without a person retyping anything.
The point
Same-hour confirmations, fewer entry errors
Ship-date truth engine
Promise dates computed from live WIP, material, and capacity instead of optimism — and re-checked automatically as the floor moves.
The point
Promises the floor can actually keep
Morning meeting board
The 7am status assembled automatically: late risks, material gaps, yesterday's output, today's plan — on the wall before anyone asks.
The point
The walk-and-ask ritual retires
04Integrations
We connect to what you already run
We don’t ask you to change your system of record. We connect to it — through an API, EDI, or direct data access. And where the integration doesn’t exist, we build it.
Works alongside
- NetSuite
- Fishbowl
- Katana
- JobBOSS
- Global Shop
- Epicor
- QuickBooks
- Zebra scanners
- Google Sheets (retired gracefully)
05How we work
Product speed, engineering quality
- 01
Learn the operation
We sit inside the process and watch how it runs today — the steps, the exceptions, the judgment calls, and every tool it passes through.
- 02
Show a working version
Not a mockup and not a deck. The first version you can actually use, in weeks rather than quarters.
- 03
Put it into real work
The system goes into your environment and connects to what you already run. It takes the routine path and hands the rest to a person.
- 04
Measure, then extend
We agree what better means before we start — time, errors, throughput — and report against it. The next process begins once the first one has earned it.
06Questions we hear
Fair questions
We're not ready for a big ERP project.
Good — this isn't one. We build around what you run today, automate the worst process first, and let the system grow process by process. No big-bang cutover.
We're a small operation. Is this for us?
Our default client is a real operation, not an enterprise. If a process eats hours every day, the math usually works from a handful of people up.
Where does our data live?
In your environment, under your access rules. Every automated decision is visible, explainable, and reversible, and the code, data, and documentation belong to you.
What does this cost?
A first working system is a fixed-scope, fixed-price project — you know the number before we start. We agree what better means (time, errors, throughput) and report against it.
Start with the process that costs you most
Tell us about the work your team dreads. We'll come back with what a working system would look like — and what it would take to prove it.