Custom projects · assessment and pilot

AI help for invoices, delivery notes and company documents

An invoice arrives as a PDF, a delivery note as a phone photo, and the order details sit somewhere else. A document tool can collect the important fields and show differences for a person to check.

For example, compare an invoice with its purchase order and highlight a quantity mismatch beside the original page. Your accounts team decides what to accept and what needs a follow-up.

Extract invoice line items and check them against purchase orders

An invoice workflow can capture supplier details, invoice numbers, dates, quantities, unit prices, taxes and totals. Matching then compares the extracted line items with purchase orders using agreed rules for product codes, units, tolerances and partial deliveries.

The useful output is a reviewable record. Duplicate invoice numbers, missing purchase orders, unexpected prices and quantity differences should enter an exception queue with the relevant source pages. Accounts payable staff correct uncertain fields and approve the result. Payment authorisation remains with your designated people and existing financial controls.

Connect delivery notes and proof of delivery to shipments

Delivery-note and proof-of-delivery processing can bring shipment IDs, order references, delivery dates and recorded quantities into the same view. A proposed workflow matches these records against dispatch data and flags missing references, duplicate uploads or differences between dispatched and acknowledged quantities.

An unclear handwritten quantity or cropped shipment number needs review. The system should preserve the original file beside extracted values so an operator can resolve the issue. Reading a signature or stamp from a page does not establish its authenticity or settle a delivery dispute.

Choose the simplest reliable approach for your documents

Digital PDFs, scanned pages and photographs need different handling. Document classification can first separate invoices, purchase orders and delivery records. Optical character recognition, or OCR, reads text from images; natural language processing, or NLP, can help classify content and identify relevant information. Stable templates may only require straightforward extraction rules.

Poor scans, glare, skewed photos, handwriting, changing layouts and mixed languages can reduce reliability. Supported languages and document types must be checked during the pilot. Better capture instructions or a mandatory manual field may be more useful than adding a more complex model.

Test the fields that matter before connecting live systems

We define the required fields and review process with your team, then compare results against a separately checked reference set, often called ground truth. Evaluation documents stay separate from examples used to configure or train the system. Testing includes difficult cases, field-level errors and the amount of work left for reviewers.

The agreed scope covers data minimisation, retention, access, review queues and accounting or ERP exports. Start with approved exports or a limited integration, check failed transfers and retain an audit trail. These workflows support document handling; they do not make autonomous payment, legal, medical or admissions decisions.

A manufacturer in Faisalabad or a distributor abroad can begin with one document type and redacted examples. Remote reviews help your staff check the pilot before a wider rollout.

Useful answers

Questions and answers

Can it handle our suppliers' different invoice formats?

Possibly. The pilot should include common suppliers and unusual layouts, including multipage tables. New formats may require additional configuration, examples or manual review rather than being accepted automatically.

Will every handwritten field be readable?

No. Legibility, image quality and language affect extraction. We identify fields that need confirmation and test whether better scanning, guided photography or manual entry gives your team a more dependable result.

Can extracted records go into our accounting software?

Integration depends on the software's supported file imports or connection options (APIs) and your permissions. The scope can include a checked spreadsheet export, a staging queue or an approved connection with duplicate and failure handling.

Do we need to provide confidential files immediately?

An initial discussion can use descriptions or redacted examples. Before sharing working samples, agree on the necessary data, authorised access, storage location, external processing services and deletion arrangements.

Is this a ready-made document management product?

This is a custom development service. The first step is assessing your documents, desired checks and existing systems. The pilot determines which parts are feasible and what should remain manual.

Discuss a focused first step

Start with one document bottleneck

Tell us which documents your team handles, what they retype and where errors cause extra work. We can discuss a focused pilot and suitable sample requirements.

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