Industrial robots working in a modern manufacturing cell

Paperwork automation for warehouse operations

Stop carrying paperwork between systems.

Aiwanfo helps warehouse teams read delivery notes, invoices, forms, and claims without retyping the same information. Useful data moves to the next step with the source, review points, and approvals intact.

Delivery notes Invoices Returns & claims Human approval

Where the week goes

Paper enters once. The useful data keeps moving.

Warehouse teams lose time reading the same document, typing the same fields, and carrying the next step between systems. We remove that middle work without hiding the source.

Operational documents and a tablet prepared for processing

Delivery notes from email

Read attachments, identify the job, and send the useful fields to the right record without retyping.

Scanned forms from the floor

Turn handwritten or printed paperwork into structured data, with low-confidence fields held for review.

Invoices and proof of delivery

Match documents to the right order, flag what is missing, and keep the source beside every extracted value.

Returns and claims paperwork

Collect the evidence, check required fields, and prepare the next step without passing the case by hand.

What changes

The paperwork stays visible. The carrying work disappears.

This is not a black box replacing warehouse judgement. It is a controlled path from source document to the next useful action.

BeforeAfter

An inbox and a pile of attachments

Documents identified and attached to the right job

Fields typed into more than one system

Useful data extracted once and passed forward

Missing paperwork found at the end

Required evidence checked while the job is still active

Sensitive decisions made invisibly

Approvals, source links, and an action log

Warehouse operator working on the floor

Built for an operating floor

Useful automation needs visible controls.

The system is designed around where records may live, what needs approval, and how your team checks what happened.

Your records stay where they are allowed

Deploy in the cloud, on your private network, or on machines in your building.

Every action leaves a trail

See the source document, extracted fields, system action, and result for each job.

People approve the sensitive parts

Set thresholds and approval points so uncertain or high-risk work never slips through silently.

Operations specialists reviewing a warehouse workflow on site

How a paperwork project runs

Start with one document workflow.

We define the current process, test the difficult cases, and build only what the evidence supports.

  1. 01

    We map the paperwork

    We follow one document workflow from arrival to final action, including the systems, handoffs, and exceptions involved.

  2. 02

    We test the documents

    We use representative and difficult examples to see what can be read reliably and what must stay in human review.

  3. 03

    We build the narrow path

    We connect approved sources, systems, permissions, and review points without replacing tools that already work.

  4. 04

    We measure and hand over

    Your team receives the agreed system, audit trail, documentation, and training, with impact checked against the current workflow.

Practical questions

Before anyone touches a workflow.

Do we need to replace our warehouse system?

No. Aiwanfo builds around the systems and processes already in use. The job is usually the manual work between email, paper, shared drives, and your operational software.

What kinds of documents can the system read?

Common starting points include delivery notes, invoices, proof of delivery, intake forms, claims, returns paperwork, and internal operational forms. Suitability depends on document quality and the decision the data supports.

What happens when the AI is not sure?

Uncertain fields can be flagged for a person to review. Sensitive actions can require approval, and every result can retain a link back to the source document.

Can it run on our own network?

Yes. Aiwanfo supports cloud, private-network, and on-site deployment, depending on the operation, security requirements, and systems involved.

Who owns the system after the project?

You keep the agreed code, data, documentation, and training. Any model ownership or provider terms are made clear before the project begins. Ongoing work with Aiwanfo is a choice, not a dependency.

Start with one paperwork bottleneck

Show us where the document handoff breaks.

We will map the workflow, identify what should be validated, and tell you whether AI, conventional software, or a process change is the right next step.