Vomberg Automates Email Attachment Processing into Their ERP
How Vomberg replaced manual document handling with an AI-powered pipeline that extracts, validates, and routes 150,000 email attachments per year directly into their ERP system.
Problem
Incoming emails with attachments required manual extraction, validation, and re-entry into the ERP system — a repetitive, error-prone process that consumed significant staff hours and depended on single-purpose legacy tools.
Solution
Interloom ingests incoming emails, extracts attachment data with AI-assisted field recognition, validates it against business rules, and routes structured records directly into the ERP system — all defined in natural language.
150k
Documents processed per year
100%
Automatic ERP routing
3
Legacy systems replaced
“With Interloom we can replace all the legacy systems that only do one specific thing in a flexible way, by using natural language.”
Markus Remhof
Head of IT Digitalisierung, Vomberg
Background
Vomberg receives a high volume of inbound emails from suppliers, partners, and customers — each carrying attachments such as invoices, order confirmations, delivery notes, and technical documents that need to flow into the company’s ERP system for downstream processing.
The Challenge
Every incoming attachment required manual intervention. Staff opened emails, downloaded documents, identified the document type, extracted relevant fields, validated them against existing records, and then manually entered the data into the ERP. Multiple single-purpose legacy tools handled fragments of this pipeline, but none covered the full workflow — and each required its own maintenance, licensing, and specialist knowledge.
At 150,000 documents per year, even small inefficiencies compounded into significant cost and error risk.
How Interloom Helped
Vomberg built an end-to-end email attachment processing workflow in Interloom. Incoming emails are ingested automatically, and AI-assisted extraction identifies document types and pulls structured fields from attachments — regardless of format variation across senders.
Deterministic validation stages check extracted data against business rules and existing ERP records before anything is written. Exceptions are routed to the responsible team member with full context, so edge cases are resolved in minutes rather than hours. The entire pipeline is defined and adjustable in natural language, meaning the operations team can adapt extraction rules and validation logic as new document formats or business requirements emerge — without involving IT.
Results
Vomberg processes 150,000 documents per year through the automated pipeline, with validated records routed directly into the ERP system. Three legacy tools that each handled a single step of the old process have been retired, reducing maintenance overhead and licensing costs. Staff time previously spent on manual data entry is now redirected to exception handling and process improvement.