ILLUSTRATIVE SCENARIO
Resolve goods-receipt exceptions before posting
Advance notices, delivery notes and purchase orders are matched line by line. Uncertain quantities, packaging units and batch references enter a focused clarification workflow.
UNDERSTAND THE AI
What happens behind the scenes.
Intelligent document processing · Extraction model · ERP matching
What does the AI actually do?
AI identifies line items, part numbers, quantities and packaging units across different delivery-note layouts, turning unstructured documents into a fixed schema and explaining detected exceptions.
How the solution works
- 01
Read layout and content
A document model identifies rows and field relationships in PDFs or scans. OCR reads image text; extraction maps entries to agreed target fields.
- 02
Check the order
Software matches confirmed items against open ERP orders. Master data and fixed rules calculate unit conversions, remaining quantities and allowed excess deliveries.
- 03
Make exceptions actionable
The assistant explains discrepancies and shows the original passage. Only confirmed lines become posting proposals.
What value can it deliver?
Less rekeying and follow-up, faster posting readiness and potentially fewer correction postings. Focused exception handling can improve material availability.
A concrete example
Illustration: four cartons of 25 pieces become 100 pieces using a confirmed master-data conversion. With 90 pieces still open, the match highlights the difference rather than inventing a conversion.
Technology, setup & operation
Pretrained document models may handle standard formats. Supplier-specific training should follow evidence of extraction gaps. Confidence indicators prioritise review; they do not prove business correctness.
Illustrative solution design. The final architecture depends on data, systems and pilot evaluation.
Starting situation
A warehouse receives deliveries in many document formats. One delivery covers several purchase orders, and carton and piece quantities are inconsistent. Manual clarification delays put-away and material availability.
How the workflow could look
Capture information
Document recognition extracts lines from the advance notice and delivery note. Part numbers, units and batches carry confidence indicators.
Explain discrepancies
Rule-based checks match orders and agreed unit conversions. The assistant explains differences and groups missing information for the responsible person.
Prepare posting
Confirmed lines are handed to ERP or warehouse management as a posting proposal. Unresolved lines remain separate and visible.
A line-level clarification list and a confirmable goods-receipt proposal rather than a collection of disconnected documents.