AI and automation for manufacturing.
Manufacturing runs on details. We automate the ones nobody enjoys.
For discrete and process manufacturers between 30 and 200 people.
What we see in manufacturing
Custom quotes take days, and the customer is shopping somewhere else by then.
B2B buyers want fast turnaround. Custom configurations require pulling specs, costs, and lead times from three systems and translating them into a quote. A senior estimator does it well, but slowly, and you don't have enough seniors to keep up.
Supplier invoices are a quiet drain.
A mid-sized manufacturer processes hundreds of supplier invoices a month. Each one needs matching against a purchase order and goods receipt. Mismatches need chasing. Data needs entry into the ERP. It's slow, error-prone, and never finished.
B2B customer service runs on a few key people.
Repeat customers know who to email. When that person is out, things slip. Status questions, delivery confirmations, document requests: most of it is routine but everything depends on memory and email threads.
What we'd start with
Quote Generation AI addresses the most visible pain for most manufacturers. We pair it with invoice and email automation to cover the full back-office picture.
Quote Generation AI
Pulls product specs, costs, and customer-specific pricing from your ERP and produces quotes in your template. Senior estimators review and approve. Quote turnaround typically drops from 2–4 days to under a day.
Invoice Issuing AI
Webshop, ERP, project completion → invoice → customer. Multi-currency, multi-VAT, Számlázz.hu connected.
Email Management AI Assistant
Status questions, document requests, routine confirmations: handled automatically. Complex queries get routed to the right account manager with context attached.
Where manufacturers usually need custom work
Manufacturers come to us for problems that off-the-shelf SaaS doesn't touch: supplier invoice processing tailored to your ERP and PO structure (one of our most common engagements), predictive maintenance models for production equipment, computer vision for quality control, demand forecasting tied to specific seasonality, and decision-support systems for production planning. The data is usually there. It just isn't being used.
Talk to us about custom work →What this can look like
A 110-person Hungarian manufacturer was processing 1,200+ supplier invoices a month. Three accounts-payable staff spent most of their time matching invoices to purchase orders and goods receipts, chasing missing references, and entering data into the ERP.
We built a document-processing pipeline that extracts data from invoice PDFs (any format, any language), matches against POs and GRs automatically, flags exceptions, and posts clean entries into the ERP. About 75% of invoices now process without human touch. The three AP staff handle the exceptions and stopped doing data entry. The CFO reassigned one of them to financial analysis.
Anonymized · Under NDA · Results vary by deployment
Invoices processed without human touch
After pipeline deployment
AP staff reassigned to financial analysis
From data entry to higher-value work
Talk to someone who knows manufacturing.
Tell us where your manufacturing operation is losing time: quoting, back office, customer service, or production planning. We'll tell you where AI fits and where it doesn't.