The practical answer
Start with one receiving process, representative documents and an agreed output. Define the checks and reviewer decisions before building the integration. Measure field correctness and review effort together.
1. Map the actual handoffs
Follow one delivery from arrival to the receiving record. Who receives the paperwork, who counts or checks the goods, who resolves a discrepancy, and who enters the final information? Capture the systems and spreadsheets used at each handoff.
Keep document checks separate from physical inspection. A document whose quantities add up is not proof that those goods arrived, that they were undamaged, or that the supplier reference is authentic.
- Name the process owner and the people who review exceptions.
- Record approximate daily volume and current handling effort.
- List the fields and decisions required before a receipt can proceed.
2. Agree samples and expected answers
Use representative delivery notes, challans or packing lists, including poor scans and difficult layouts. Agree permission to use the samples, who can access them, and how they will be retained or deleted. Do not send confidential documents through an initial website enquiry.
Create expected correct records for the evaluation set. Include incomplete documents and known exceptions, rather than evaluating only clean examples.
- Document types, supplier layouts, languages and scan quality.
- Required references, item descriptions, units, quantities and totals.
- Expected values, source references and unresolved ambiguities.
3. Define the business checks
Choose checks that reflect your receiving policy. Required fields, allowed units and quantity reconciliation are useful starting points. Decide what should block an update and what can be reviewed without stopping the rest of the work.
For example, 60 cartons plus 40 cartons totals 100. A challan that prints 98 has a two-carton difference. The website demo flags the inconsistency; a person must resolve it before approving the sample export.
- Distinguish a missing value from an explicit zero.
- Agree rules for decimal quantities and unit conversions.
- Define how repeated document references and duplicate updates should be handled.
4. Design the exception path
Show the source beside the proposed record. Give reviewers a clear reason for each flag and a way to resolve or escalate it. Avoid silently replacing an uncertain value with a plausible guess.
Approval should be tied to the record that was actually reviewed. If consequential fields change, decide whether approval must be repeated. Production authentication, access permissions and approval history need their own specification.
5. Choose one destination first
Check whether your WMS or ERP already supports the required workflow. For a pilot, an agreed CSV or file import may be sufficient. If direct integration is useful, confirm the available interface, permissions and test environment before promising a connector.
Specify identifiers, required fields, units, rejection handling and how the receiving team will reconcile an accepted update. A successful HTTP response alone may not prove that the intended operational record was created.
6. Set acceptance criteria and a rollout decision
Measure correctness, exceptions, staff review effort, turnaround and operating cost against a baseline. Assess the complete capture-to-review-to-output process, rather than reporting only text-recognition accuracy.
Agree the evidence needed to continue, revise or stop the pilot. Production rollout should cover monitoring, retry behavior, training, support and data handling.
- Field-level correctness on the agreed evaluation samples.
- False passes and missed exceptions, with their operational consequence.
- Time spent reviewing and resolving difficult cases.
- A separately scoped production decision based on the results.