Leader 2026
Nanonets is a supply chain document automation platform that reads freight and operations documents in any format, automates data extraction across purchase orders, bills of lading, customs declarations, delivery notes, and EDI transactions, and delivers clean structured data to your ERP, WMS, or TMS automatically, at scale.


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Seamlessly export data to your CRM, WMS, or database directly, or choose from XLS, CSV, or XML formats for offline use.

Supply chain document automation uses AI to automatically capture, extract, validate, and route data from supply chain documents like purchase orders, bills of lading, delivery notes, customs declarations, and supplier invoices. Instead of manual data entry, Nanonets reads documents in any format (PDF, scanned image, email attachment, electronic data interchange), extracts the relevant fields, and pushes structured data into your enterprise resource planning, warehouse management, or transportation management system, triggering downstream workflows automatically.
Nanonets handles the full range of supply chain and logistics documents, including purchase orders and purchase order confirmations, bills of lading and air waybills, packing lists and delivery notes, goods received notes, customs declarations and certificates of origin, supplier invoices and freight invoices, proof of delivery forms, and shipment manifests. The AI is layout-agnostic: it adapts to any carrier, supplier, or forwarder format without manual template setup.
For freight forwarders and logistics providers, Nanonets automates the most document-heavy steps: processing bills of lading and arrival notices, extracting data from customs and freight forms, routing freight-specific emails by type and urgency, automating proof of delivery capture, and feeding shipment data into transportation management systems in real time. This eliminates manual keying, reduces errors in freight invoicing, and speeds up clearance and delivery confirmation.
Electronic data interchange (EDI) is a standard format for exchanging business documents digitally between trading partners. While EDI handles structured digital transactions, many supply chain partners still send documents as PDFs, emails, or scanned files. Nanonets bridges this gap by extracting data from non-EDI documents and transforming it into structured formats that feed into your EDI or enterprise resource planning systems, creating a fully connected data flow even when partners are not EDI-enabled.
Nanonets uses a combination of machine learning, computer vision, and natural language processing trained on large volumes of logistics and supply chain documents. This allows the AI to handle diverse layouts, low-quality scans, handwritten notations, and complex line-item tables, achieving 99%+ extraction accuracy across document types. Confidence scores flag low-certainty fields for human review, and the system learns from corrections over time to continuously improve.