Supply Chain & Logistics

Supply chain teams operate on documentation: purchase orders, shipping paperwork, customs forms, invoices, delivery notes, and proof of delivery. When those documents arrive via email as PDFs, scans, or photos, manual processing creates delays, missed exceptions, and downstream data quality issues—especially during peak volume.

Enterflow applies AI OCR and document workflows to supply chain and logistics to convert inbound documents into structured data, validate them against operational rules, and integrate them into your TMS/WMS/ERP with clear exception handling and auditability.

Where AI OCR delivers value in Supply Chain & Logistics

1) Shipping documents: packing lists, delivery notes, bills of lading

Shipping paperwork often varies by carrier, region, and customer requirements.

Typical documents

• packing lists and delivery notes

• bills of lading (BOL)

• airway bills (AWB)

• shipment manifests

What we extract

• shipment identifiers (BOL/AWB numbers, tracking IDs)

• shipper/consignee details and addresses

• item lists, quantities, weights, dimensions

• ship dates, delivery dates, carrier info

• handling instructions and references

Outcome

• faster shipment creation and updates in TMS/WMS

• fewer receiving discrepancies

• improved visibility across shipments and lanes

2) Proof of delivery (POD) and delivery confirmation

POD can arrive as scanned forms, photos, or portal PDFs—often with signatures and handwritten notes.

Typical documents

• POD forms (signed delivery notes)

• carrier delivery confirmations

• exception notes (damage, partial delivery, refused delivery)

What the workflow does

• classifies POD vs exception

• extracts delivery date/time, recipient name, signature presence, quantities delivered

• flags partial deliveries or damage notes for claims workflows

• links POD to the correct shipment/order record

Outcome: faster closure of deliveries, fewer disputes, quicker claims initiation.

3) Freight invoices and accessorial charges

Freight billing is a high-leakage area: accessorials, fuel surcharges, and rate mismatches are common.

Typical documents

• carrier freight invoices

• accessorial summaries

• rate confirmations and contracts

What we extract and validate

• invoice totals, currency, fuel surcharge lines

• accessorial charge details and codes

• lane/origin/destination references

• shipment identifiers for matching

Checks

• contracted rate vs invoiced rate comparisons (where data is available)

• duplicate invoice detection

• unexpected accessorial flagging

Outcome: reduced overbilling risk and faster approval cycles.

4) Purchase orders, order confirmations, and ASN documents

Smooth replenishment depends on structured, consistent order information.

Typical documents

• purchase orders and amendments

• order confirmations and vendor acknowledgements

• advance shipping notices (ASN)

What the workflow does

• extracts PO numbers, SKUs, quantities, promised ship dates

• detects changes (backorders, substitutions, price changes)

• routes exceptions to procurement or planners

Outcome: fewer surprises at receiving, improved ETA planning, better inventory accuracy.

5) Customs and trade documentation (where applicable)

International shipments involve complex paperwork that is often handled manually.

Typical documents

• commercial invoices

• packing lists with HS codes

• certificates of origin

• customs declarations and supporting forms

What we extract

• exporter/importer details

• HS codes (where present), item descriptions, quantities

• declared values, Incoterms, currency

• reference numbers used by brokers and customs portals

Outcome: faster preparation of customs packets and fewer missing-data delays.

6) Warehouse receiving and inventory reconciliation

Receiving accuracy drives inventory accuracy, and inventory accuracy drives service levels.

Typical documents

• GRNs, receiving reports

• delivery notes, packing lists

• returns paperwork (RMA)

What the workflow does

• converts receiving docs into structured receipts

• normalizes units (case vs each vs pallet)

• supports matching to PO and shipment records

• flags short shipments, overages, substitutions, and damaged goods

Outcome: fewer inventory adjustments, fewer disputes, faster put-away.

Logistics-grade validation (controls that prevent exceptions from becoming losses)

We implement rules tailored to operations, such as:

• shipment ↔ PO ↔ invoice matching readiness

• quantity and unit-of-measure normalization

• address and reference consistency checks

• partial delivery detection and exception routing

• duplicate document detection (common with email forwards)

• tolerance rules by lane, carrier, SKU category, or customer

Key data we track (so outcomes are measurable)

We define success using operational metrics supply chain leaders care about:

• Cycle time (document arrival → system update)

• Exception rate (and top causes: missing reference, mismatched qty, unreadable scan)

• Receiving discrepancy rate (short/over/damaged)

• Freight invoice variance rate (contract vs billed)

• Automation rate (straight-through vs review)

• Cost per document and savings vs manual handling

Integration targets (where the data goes)

We integrate structured outputs into your existing stack, commonly:

• TMS (transport management systems)

• WMS (warehouse management systems)

• ERP and procurement systems

• carrier portals / EDI translation layers

• data warehouse / analytics pipelines

• workflow tools for exceptions (tickets, approvals, claims)

Integration patterns include APIs, webhooks, queues/event buses, and secure file handoffs.

Security and private deployments

Supply chain documentation can include customer addresses, contract pricing, and sensitive shipment information. We support:

• private cloud deployments (AWS, Azure, or GCP)

• private networking, encryption, IAM/RBAC, audit logs

• configurable retention and deletion policies

Ready to automate shipping paperwork and reduce exceptions?

If you share a representative set of documents (packing lists, BOL/AWB, POD, freight invoices, ASNs), we can map:

• extraction targets and expected accuracy,

• validation rules and exception workflows,

• integrations into your TMS/WMS/ERP,

• and a phased rollout plan (pilot → scale).

Contact: info@enterflow.ai
Website: https://enterflow.ai/