Automate order processing with AI

AI reads incoming orders from emails and PDFs and extracts the data. Automation (RPA) validates it and posts it into your ERP. Built for manufacturing SMEs in Germany, Austria, and Switzerland that want less copy-paste and fewer errors.

From 20 hours to 2 hours per week

Same order volume, a different workflow. Hours of manual typing become a short confirmation step.

Manual today

  1. Order arrives by email
  2. Open the PDF or attachment
  3. Retype the data into the ERP
  4. Check for typos and missing fields
  5. Post the order into the ERP

Automated with AI

  1. Order arrives by email
  2. AI reads the document
  3. Data lands in the review inbox
  4. Confirmed and posted into the ERP

People stay in control: the AI proposes, your team confirms. Edge cases go to a human, routine orders flow through.

We built exactly this for a Swiss manufacturing SME. Read the case study

How AI order processing works

RPA (Robotic Process Automation) automates rule-based, repetitive steps; AI reads unstructured documents like PDFs and emails. Together they turn incoming orders into ERP records without manual typing.

  1. 01

    Capture the order

    Orders arrive by email, PDF or scan. The system picks them up automatically, no forwarding or uploading by hand.

    No manual forwarding

  2. 02

    Read and extract

    AI reads the document and extracts positions, quantities, article numbers and customer data, even across different layouts.

    Works with varied order formats

  3. 03

    Check and confirm

    Extracted data lands in a review inbox. Clear cases pass automatically; anything uncertain is flagged for a person.

    Humans stay in the loop

  4. 04

    Post into the ERP

    The confirmed order is written into your existing ERP through its interface. No system replacement, no double entry.

    Fits your current ERP

Routine orders run through, deviations go to your team.

From order intake to your ERP

01

The order arrives

By email, PDF, Excel, EDI or customer portal.

02

The system reads the data

Order number, customer, line items, quantities, prices, addresses and dates.

03

It checks customer and address

Debtor, sales area, billing address, delivery address and block status.

04

It maps the articles

Customer article number, internal SKU, variant, unit of measure and packaging unit.

05

It runs your commercial rules

Nine rules against your ERP master data.

Price and discount

Contract prices and terms

Credit limit

Open items and order block

Stock and availability

Free quantity and partial delivery

Delivery date

Requested date and confirmed date

Quantity rules

Minimum order quantity and packaging units

Tax and Incoterms

Currency, tax logic and delivery

Duplicates

Order number and identical transactions

Mandatory fields

Completeness and plausibility

Compliance

Block lists and export rules

Is there a deviation?

NO

Standard case

The order runs straight into the ERP.

YES

Manual review

Only the affected point goes to your team.

06

The order lands in your ERP

Header, line items, terms, delivery schedule and approvals.

07

Confirmation and audit trail

Your customer gets the confirmation, every decision stays traceable.

Standard cases run without a touch

Your team decides the exceptions

How the system checks one order

Order 64385, Metallwerk Zürich AG, received 08:42

  • Customer identified

    Metallwerk Zürich AG, debtor 400184

    98 %
  • Delivery address identified

    Fabrikweg 22, Dübendorf, ramp 3, present in the customer master

    Match
  • Article matching

    Line items 10 and 20 mapped to internal SKUs

    2/3
  • Unknown article

    01.15094.20051 has no unique match. Suggested: 01.15094.20050

    Review
  • Credit limit exceeded

    Available CHF 3'500, order value gross CHF 4'256.44

    Block
  • Delivery date

    Line item 20 is fully available on 19.08. only

    Deviation
  • Price check

    Line items 10 and 20 match the framework agreement

    OK

Recommended action

Confirm the article suggestion, obtain credit approval and send an alternative delivery date.

What you gain

Concrete outcomes for order processing in a manufacturing SME.

Order processing, automated

  1. Fewer errors

    No manual retyping means fewer typos, fewer wrong quantities and fewer mixed-up article numbers.

  2. Connects to your ERP

    Orders flow into your existing ERP through its interface. No system replacement, no parallel spreadsheets.

  3. Time back for your team

    Routine data entry runs on its own, so your people spend their hours on customers and exceptions instead of copy-paste.

See the numbers from a real Swiss implementation. View full case study

Questions about AI order processing

What RPA and AI order processing is, and how it fits a manufacturing SME.

  1. What is RPA?

    RPA stands for Robotic Process Automation: software that automates rule-based, repetitive steps a person would otherwise do by hand, such as copying order data from an email into an ERP. Combined with AI, it also handles unstructured documents like PDFs.

  2. What is AI order processing?

    AI order processing reads incoming orders from emails, PDFs and scans, extracts the relevant fields such as positions, quantities and article numbers, and prepares them for your ERP, without a person retyping the data.

  3. Does the system learn over time?

    Yes. Every confirmation and correction feeds back, so over time the system gets better at your specific suppliers, document layouts and article numbers. It adapts to how your team works instead of forcing a fixed template.

  4. Does it work with my existing ERP?

    Yes. The solution posts orders into your current ERP through its interface. There is no system replacement; we build a bridge to what you already run.

  5. Does automation mean losing control?

    No. Extracted orders land in a review inbox. Clear cases can pass automatically, while anything uncertain is flagged for a person to confirm. You decide how much runs hands-off.

  6. Who is this built for?

    For manufacturing SMEs in Germany, Austria, and Switzerland that process recurring orders by email and PDF and want to cut manual data entry. We focus on AI and automation for manufacturing, not generic web development.

... and factorIQ turns it into a product

We build order automation as a project for your operation. factorIQ turns the same capability into a product: AI that reads your incoming documents and hands structured data to your ERP, out of the box.

See it on your own orders

Book a demo and scoping call. We look at your order flow and show what AI order processing would take for your ERP. No obligation.