Manufacturing automation
Manual work still sits between your ERP, email, Excel, PDFs and other systems. We connect what you already use and automate repetitive data handling, while your team handles exceptions.
Orders, invoices and production paperwork still arrive by email. This is what sales order intake looks like around an ERP, before and after automation.
Four places where manufacturing back offices lose the most time.
Customer orders arrive as emails, PDFs and spreadsheets, each in its own format. They become clean, validated orders in your ERP.
Incoming invoices and delivery notes are read, matched against orders and goods receipts, and posted with the source document attached.
Paper forms, scans and certificates are digitised, checked and filed against the right batch or order, ready for the next audit.
Order confirmations, change requests and complaints are recognised and routed, with a draft reply prepared wherever your team needs to respond.
Orders and paperwork arrived by email, and a whole team spent its days retyping them into the ERP. We automated the intake: documents are read, checked against ERP master data and entered into the system automatically. Today one person supervises the flow, and the team steps in only for cases that need human judgement.
SAP, Microsoft Dynamics, Comarch, or something built in-house years ago. If your ERP has an API, we use it. If it does not, we work with what is there: database access, file exports, or the same screens your operators click through today. No migration, and nobody rebuilds your processes. The ERP stays the system of record.
Automation is the middle of a longer path. The same connected data that removes manual work can later tell you what comes next.
Connect your ERP, email, spreadsheets, documents and other systems without replacing what already works.
Automate data entry, validation, document processing and repetitive decisions. Your team handles exceptions.
Once operational data is connected and reliable, use it to forecast demand, production workload, inventory needs and potential shortages.
Predictive models depend on sufficient historical data and a measurable business problem.
Interested in forecasting from your operational data? Explore Custom ML and Predictive Models
We first look at one real workflow: how much work it creates, which systems it touches and where automation makes sense. If there is a business case, we scope a fixed-price process audit before you commit to a larger implementation.
See how the audit worksNot sure which process to automate first? Start with a Process Automation Audit