A maritime logistics and shipping operation runs each consignment through a fixed set of documents: Single Goods Declaration, duty assessment and receipt, shipping and terminal invoices, inspection act, delivery orders, gate pass and haulage waybill. Staff kept a checklist and an invoice tracker by hand, so document completeness, payment countdowns, outstanding balances and profit per job all lagged reality, and a missing duty receipt or an overdue payment was found late.
Staff upload shipment documents (PDFs, scans, photos) into the consignment's project folder. An AI-powered OCR pipeline reads each one and extracts the fields that matter: client, bill of lading, size and quantity, shipment status, invoice number, amount and due date.
Each extracted document checks itself off on the per-client Project Checklist and inserts or updates the matching row in the live Invoice Tracker. Payment countdowns start automatically, and outstanding, overdue and profit figures update daily.
An Insights column flags missing or late documents, overdue payments and anomalies such as profit outliers or duplicate invoices, with a plain recommendation attached (for example, a duty receipt is overdue and should be escalated). Everything runs in the operator's existing SharePoint and Azure environment with SSO and encryption.
The work ran as three short phases: under a week of requirements, a one-week MVP, and under a week for an insights layer before rollout. Requirements mapped the fixed set of documents every consignment moves through, from the goods declaration and duty receipt to shipping and terminal invoices, delivery orders, gate pass and haulage waybill. The MVP put an AI-powered OCR pipeline behind the project folders: staff upload PDFs, scans or photos, and the model identifies which checklist item each document is and extracts client, bill of lading, quantity, status, invoice number, amount and due date. Each document checks itself off the per-client checklist and updates the matching row in the live invoice tracker, starting payment countdowns automatically. The insights phase added a column that flags missing or late documents, overdue payments and anomalies such as duplicate invoices, with a plain recommendation attached. The operator's existing SharePoint sheets stayed the interface, running in Azure with SSO and encryption.
Freight forwarders, customs brokers, importers and any operator whose work is a repeating checklist of documents per job, with payment terms attached. The same pattern applies to construction draws, trade finance and insurance claims.