Commercial Operations Team
Cuts Supplier Order Processing Friction Across Daily Purchasing Workflows

Daily supplier paperwork was arriving in inconsistent formats and being processed manually by staff who were already stretched across purchasing, job costing, and project delivery.

Documents had to be split, interpreted, and re-entered into the operating system one line at a time. That made the process slow, repetitive, and vulnerable to job coding mistakes, missing items, and approval delays.

The business needed a workflow that could take messy inbound documents, turn them into structured data, and still keep a human approval step before anything was exported downstream.

We designed a document-processing workflow that turns inbound supplier paperwork into structured order records ready for review.

Technology Stack

• Document ingestion: Uploads are received, normalised, and separated into reviewable source records before extraction begins.
• Document AI: Structured fields, references, and line items are extracted from supplier paperwork with exception handling for low-confidence results.
• Workflow engine: Each record moves through a queue-based approval flow so users can review, correct, and approve before export.
• Operational platform: Approved records are pushed into the downstream operating system in a consistent, audit-friendly format.
• Data store: Source files, extracted values, review states, and export outcomes remain traceable for follow-up and reporting.

The workflow removes the most repetitive part of supplier order handling and gives operations staff a faster path from inbound document to approved record.

Instead of manually transcribing supplier paperwork into downstream systems, the team works from a structured review queue and only intervenes where exceptions or validation issues appear.