First, give conclusions that can be used for decision-making
The OCR exports the invoicing numbers, amounts, rates and subject-matter phrases, but it is not possible to judge separately whether the invoice corresponds to the correct order, exceeds the budget, duplicates the reimbursement, or meets the contractual payment terms. AI understands annexes and business statements, helps to classify differences, and establishes rules and system data to verify key figures and status. The project design should measure the accuracy of the OCR field, business match rate, rule number, abnormal error reporting and manual review time separately.
What conditions need to be identified before judgement is made?
The same question may have different answers under different business, data and project phases. It is suggested that the following conditions be checked and that the common findings on the web be incorporated into their own projects.
Suggested order of advance
First, we'll be clear about the target and the border.
Whether to record or conduct business audits only.
Validation Key Dependence
(b) Collapse normal abnormal and complex layout samples.
Development of assessable outcomes
Separate assessments of identification, matching, rules and manual review.
Make sure you decide the next step with the real results.
The formal system is then connected after validation.
How do you understand it in the actual business?
The system identifies invoice fields, and searchs the procurement and warehouse records on order numbers, identifies the issue of the billing subject as inconsistent with the contract, displays the original contract and invoice and transfers it to financial review rather than leaving the model to decide whether to pay for itself.
The easiest pit to step on.
Consider the OCR field accuracy rate as complete audit accuracy rate
Critical rate rates are generated by models without verification using rules
The abnormal conclusion has no source material and no institutional basis
How should we end up receiving and confirming?
Receiving and inspection requires separate field identification, business matching, rules, anomalies, manual review and systematic writing back, and covers vague scanning, red-wording, duplicate tickets, cross-subject and missing attachments.
When preparing to communicate with suppliers or internal teams, it is recommended that current processes, representative samples, existing systems, planning time and budget levels be brought. First, the unknown items are clearly marked, and then the decision is made to use diagnostics, PoC, fixed-range projects or ongoing research and development, which is usually more reliable than a direct demand for a price and duration without borders.