What accuracy does Orderflow achieve?

Approximately 98% of orders are processed without any manual modification, with 80%+ of orders fully or partially product-mapped on first pass. Accuracy improves over time as the system learns.

Stop manually processing orders

Every order, any format, automated.

See it in action

A5006-00 Componeant A5006
K2001-05 K-Series 2001-05
WPLM-20L White paint 20l
CEBZ-33 Bronze frame
Matching SKU

Orderflow connects to your and , reads orders in any format, be it , matches products to your catalog and delivers automatically.

Current limitations and operational friction

Multiple communication channels with diverse order formats

Every channel, every format, every day.

Email, WhatsApp, PDF, scan, photo, handwritten note. Your customer's order however is easiest for them. Your team absorbs the complexity every single time.

Knowledge trapped in individual employees

The knowledge lives in people, not systems.

Matching vague product descriptions to the right catalog entry is a skill built over years. It lives with specific staff members. When they're unavailable, orders wait.

You can't automate what isn't structured.

Traditional automation requires consistent, templated input. Your customers don't send templates, thus every increase in order volume means more manual work.

From inbox or WhatsApp to ERP without a single manual step.

Order Flow monitors your email and WhatsApp continuously, extracting all relevant information from messages, PDFs, scans, and handwritten notes the moment they arrive.

Every item is mapped to the right SKU automatically with a match score. Low-confidence matches are flagged for fast human review — your team stays in control without touching every order.

Every validated order exits as structured, ERP-ready data. Consistent format, every time, from every channel.

Orderflow dashboard showing order processing pipeline

Free-text emails
Unstructured body text with informal descriptions, missing codes and no fixed format.
Hand-written notes
Scribbled lists, hand-filled order forms and warehouse notes with no standard structure.
WhatsApp images
Shorthand requests, forwarded images and informal order threads sent via mobile.
Scanned documents
Photographed or scanned paper order forms and PDF attachments.
Attached files
Spreadsheets, PDFs and image files sent alongside or instead of email body text.

~98% of orders processed without any manual modification.
80%+ of orders fully or partially product-mapped on first pass.
Accuracy improves over time. Product mapping precision steadily increases, making the system more reliable the longer it runs.
Significant and measurable. Reduction in manual intervention observed month over month after deployment.
Orders are pushed straight to the pipeline. Manual entry of orders from emails, whatsapp or handwritten notes is stripped away.
Volume spikes stop creating backlogs. The system processes at the same pace regardless of how many orders come in.
Every channel receives the same treatment. No order falls through because it came in from a different channel or in a different format.
Key staff dependency is reduced. The system learns to map vague descriptions to your catalog, ensuring order flow doesn't break.

See it in action

Trusted in production by distribution teams

"Along with the Neurony team, we implemented an AI solution for the automated processing of orders received via email, and the results have been very positive. The system can process both orders written directly in the email body as well as orders attached in various formats, including handwritten documents. The solution was implemented at the end of last year, and we are currently able to automatically process approximately 50% of the orders received by email. The impact on the order processing department has been significant: reduced workload, time savings, and a substantial decrease in human error."