What is finance and accounting automation software?

Finance and accounting automation software uses AI agents to replace manual data entry and processing across the full finance workflow. This includes accounts payable automation, accounts receivable management, financial reconciliation, expense processing, and financial reporting. Nanonets reads unstructured financial documents in any format and delivers clean structured data directly to your ERP or accounting system.

How does AI automate accounts payable in finance and accounting?

AI agents in accounts payable automation read vendor invoices and receipts in any format, extract key data fields, perform 2-way and 3-way PO matching, apply GL coding rules, route approvals, and post directly to your ERP. Nanonets AP automation handles exceptions autonomously and routes to a human reviewer with full context when needed — eliminating the manual AP workflow entirely.

What is automated financial reconciliation?

Automated financial reconciliation uses AI to match transactions across bank statements, ledgers, and invoices without manual effort. Nanonets identifies and resolves discrepancies automatically, accelerating month-end and year-end financial close processes and improving audit readiness.

What financial documents can Nanonets process automatically?

Nanonets processes a wide range of financial documents including vendor invoices, receipts, purchase orders, bank statements, expense reports, remittance advices, contracts, and financial reports. It handles any format including PDFs, scanned images, emails, and EDI files without templates or manual setup.

How does Nanonets integrate with SAP, NetSuite, and other accounting systems?

Nanonets has pre-built certified connectors for SAP S/4HANA, SAP Business One, Microsoft Dynamics 365, Oracle ERP Cloud, NetSuite, QuickBooks Online, Xero, Sage Intacct, and more. Data extracted and structured by Nanonets is delivered directly into your accounting system in real time with no custom development required.

How does Nanonets handle expense management automation?

Nanonets automatically captures and categorizes employee expenses from receipts in any format, integrates with corporate credit card systems for real-time tracking, and simplifies reimbursement processes with automated approvals. This eliminates manual expense report processing and reduces errors in employee reimbursement workflows.

Is Nanonets finance and accounting automation software secure and compliant?

Yes. Nanonets is compliant with GDPR, SOC 2, and HIPAA. Every financial document processed has a full audit trail covering data extraction, decisions made, and actions taken. Duplicate detection and fraud prevention are built into every workflow.

How is Nanonets different from other finance and accounting automation software?

Unlike point solutions that automate one step of the finance workflow, Nanonets AI agents handle the full process end to end — from reading unstructured financial documents in any format to delivering clean data to your systems of record. It covers AP automation, AR automation, reconciliation, and expense management in a single platform, with pre-built ERP integrations and no template maintenance required.

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Logistics automation software powered by AI agents

Nanonets is a logistics automation platform that reads freight documents in any format, automates data entry across bills of lading, shipment manifests, customs forms, and proof of delivery, and delivers clean structured data to your TMS or ERP automatically, at scale.

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AI-powered logistics workflow automation for freight, documents, and email

Automated logistics inventory management and data extraction

Extract SKU-level data from purchase orders, invoices, and goods receipts to update inventory systems in real time. Nanonets logistics automation software tracks stock movement across warehouses using digitized documents and AI classification, syncing extracted data with inventory planning tools for accurate forecasting.

Automate your workflow

Nanonets automating order processing by extracting data from purchase orders and shipping documents

Nanonets extracting and validating supplier invoices against purchase orders for automated procurement workflows

Automated order processing and freight data entry

Nanonets automates freight data entry by extracting structured data from purchase orders and shipping documents in any format. Reduce manual data entry errors, accelerate order fulfillment, and ensure data accuracy for downstream logistics operations without manual intervention.

Automate your workflow

Freight process automation: Bills of Lading, PODs, and shipment status

Nanonets captures and processes data from bills of lading, shipment manifests, and proof of delivery documents automatically. Auto-update shipment status and carrier records by extracting delivery milestones from logistics documents. Ensure regulatory compliance and faster cross-border movement with automated customs and freight document processing.

Automate your workflow

Nanonets automating logistics document processing for freight forwarding teams, including bills of lading and proof of delivery

Nanonets processing customs declarations, packing lists, and EDI transactions with 99% extraction accuracy

Automated customs data extraction and freight compliance

Nanonets automates data extraction from customs forms and declarations, streamlining customs clearance processes and ensuring compliance with international trade regulations. Freight forwarding data entry automation eliminates manual customs document processing entirely.

Automate your workflow

Nanonets automated bill of lading processing with AI data extraction, validation, and TMS integration

INTEGRATIONS

Finance and accounting software integrations with SAP, NetSuite, Sage, and more

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Businesses love us

90% Time savings

SaltPay uses Nanonets for enterprise finance and accounting automation

Image of Catherine from SaltPay who uses Nanonets for enterprise finance and accounting automation

Catherine Gallagher

Accounts Payable, SaltPay

“Nanonets’ direct integration with SAP helped SaltPay automate a crucial part of their Accounts Payable process”

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99% accuracy

ACM Services Inc. which uses Nanonets for finance workflow automation

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Ryan Hess

Head of AP, ACM

“I recommend Nanonets over other services. I knew integration with our current stubborn accounting software was going to be difficult, but the Nanonets team delivered better than I could have expected at almost a 99% accuracy of extraction.”

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80% cost saving

Ascend, which uses Nanonets for intelligent finance and accounting automation software

David of Ascend who uses Nanonets for intelligent finance and accounting automation software

David Giovanni

CEO, Ascend Properties

“Nanonets has helped us grow faster as a business & has set a high bar for customer service. We have saved over 80% in costs for invoice processing & are further looking into integrating more of our services to reduce costs.”

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How it works

Build end-to-end logistics automation with Nanonets

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Frequently Asked Questions

Nanonets logistics automation software integrates deeply with core logistics and enterprise systems including Transportation Management Systems, Warehouse Management Systems, ERPs, and customs brokerage software. This integration is what makes end-to-end logistics workflow automation possible, ensuring data consistency across operational, financial, and compliance platforms.

API Integration (Most Common and Robust):

Leading TMS, WMS, ERP, and customs brokerage platforms provide robust APIs. After processing logistics documents including bills of lading, air waybills, and packing lists, Nanonets uses these APIs to push extracted data into target systems including creating and updating shipment records in your TMS, updating inventory in your WMS or ERP, and pre-populating customs forms. It also pulls reference data including booking details from TMS, product master data from WMS, and PO data from ERP for validation. This provides real-time data synchronization, high accuracy, and full scalability.

Pre-Built Logistics Connectors:

Nanonets offers pre-built certified connectors for popular logistics and enterprise systems including 3G TMS, Merlin, SAP, Oracle ERP Cloud, Microsoft Dynamics 365, NetSuite, and Salesforce. These packaged integrations simplify setup, reduce technical complexity, and ensure compatibility with system updates, delivering faster deployment with no custom development required.

iPaaS Integration:

iPaaS platforms including Workato, Celigo, and Zapier act as middleware, connecting Nanonets to thousands of logistics and enterprise applications. After Nanonets processes and structures document data, the iPaaS handles data transformation and routing to the target system, offering low-code setup and flexible orchestration for complex logistics automation workflows.

RPA for Legacy System Integration:

For legacy logistics systems without modern APIs, RPA bots can mimic user interface interactions to input or extract data. Nanonets orchestrates RPA bots to interact with older systems, enabling logistics document automation even where direct API integration is not available.

File-Based Exchange:

For batch processing or systems with limited API capabilities, Nanonets extracts logistics document data and generates structured CSV, XML, or JSON files for transfer via SFTP, cloud storage, or email import. This supports freight forwarding data entry automation for any system regardless of technical capability.

By combining these integration methods, Nanonets ensures that data extracted from logistics documents including bills of lading, customs declarations, proofs of delivery, and freight invoices flows automatically into every system across your supply chain technology stack.

AI logistics automation aims to maximize straight-through processing for routine freight documents while reserving human oversight for exceptions that require judgment. The goal is not fully human-free automation but ensuring logistics teams spend time resolving real supply chain issues rather than doing manual data entry.

How Document Quality Affects Human Oversight:

High-quality digital PDFs and clean scans require minimal human oversight, with straight-through processing rates of 90 to 98%+. Low-quality documents including blurry scans, faxes, and handwritten forms require more human intervention as the AI flags more uncertainties, resulting in lower straight-through processing rates. Nanonets routes low-confidence extractions to a human reviewer automatically rather than passing incorrect data downstream.

Layout Complexity and Variability:

Simple, consistent document layouts require lower human oversight. Highly variable or previously unseen layouts initially require more human review to guide the AI. As Nanonets processes more documents from a specific carrier or vendor, accuracy on that format improves continuously.

Data Criticality in Logistics:

For logistics documents, fields including tracking numbers, quantities, customs codes, and delivery timestamps are operationally critical. Even when AI confidence is high, many logistics organizations route critical fields for a quick human validation before updating tracking systems or customs platforms. This is a deliberate risk mitigation strategy, not a limitation of the automation.

AI Adaptive Learning Over Time:

During initial implementation, more human oversight is needed as the AI learns your specific document formats and business rules. As Nanonets learns from human corrections, accuracy improves and the exception rate decreases over time, increasing the share of documents processed without any human intervention.

Specific Roles of Human Oversight in Logistics Document Automation:

Validation of exceptions: Humans review data flagged by the AI due to low confidence scores or validation rule failures including mismatched quantities on a bill of lading or invalid customs codes.

Correction and continuous learning: Human corrections feed directly back into the Nanonets AI model, enabling continuous improvement in extraction accuracy across bill of lading processing, customs forms, and proof of delivery documents.

Resolution of complex discrepancies: Humans handle ambiguous situations too complex for AI, such as handwritten damage notes on a proof of delivery or non-standard freight terms on a carrier-specific bill of lading.

Final approval for critical documents: Some logistics workflows include a human approval step for high-stakes documents including customs declarations before automated submission.

By making logistics teams managers of exceptions rather than data entry clerks, Nanonets logistics automation software frees freight professionals to focus on resolving supply chain disruptions and higher-value operational decisions.

Implementing logistics automation software for document processing presents several common challenges, driven by the immense diversity of freight documents, varying data quality, and the critical need for real-time accuracy across supply chain operations.

High Document Variety and Inconsistent Formats:

Logistics documents vary enormously across carriers, freight forwarders, and regions. Different bill of lading layouts, diverse packing lists, and varied customs declaration formats all arrive in the same workflow. This requires a logistics document automation platform that is layout-agnostic and adapts to new document formats automatically without template configuration. Nanonets handles any format without per-carrier or per-vendor setup.

Complex Line Item and Tabular Data Extraction:

Freight documents contain critical tabular line items including product SKUs, quantities, weights, and freight charges. Tables in logistics documents are often complex with missing borders and merged cells that basic OCR misinterprets, leading to inaccurate counts or billing errors. Nanonets uses computer vision and deep learning models trained specifically on tabular logistics data to extract line items accurately regardless of table structure.

Scanned Document Quality:

Many logistics documents arrive as low-quality scans, faxes, or mobile photos with blur, skew, noise, and shadows. This significantly reduces basic OCR accuracy. Nanonets uses advanced image preprocessing and AI-powered OCR to handle poor-quality freight documents that traditional tools cannot process reliably.

Handwritten Notes and Proof of Delivery Exceptions:

Logistics documents like proofs of delivery frequently contain handwritten notations including damage notes, signatures, and delivery exceptions. Basic OCR fails on handwritten content entirely. Nanonets uses handwritten text recognition powered by advanced machine learning models to extract this data accurately, ensuring delivery exceptions are captured and routed correctly.

Logistics-Specific Terminology and Codes:

Logistics uses highly specialized terminology including Incoterms, airport and port codes, HS codes, and alphanumeric tracking numbers that generic OCR tools misinterpret. Nanonets AI models are trained on logistics-specific terminology and can be further customized for carrier-specific or region-specific document types.

Integration with TMS, WMS, ERP, and Customs Systems:

Pushing extracted logistics document data into TMS, WMS, ERP, and customs brokerage systems can be complex, particularly with legacy platforms. Nanonets addresses this through pre-built certified connectors, flexible REST APIs, and iPaaS compatibility with platforms including Workato, Celigo, and Zapier, supporting any integration method regardless of system age or architecture.

Data Security and Cross-Border Compliance:

Handling sensitive cargo information and complying with international customs and data privacy regulations across borders requires robust security controls. Nanonets is compliant with GDPR, SOC 2, and HIPAA, with encryption in transit and at rest, role-based access controls, and immutable audit trails for every document processed.

Addressing these challenges requires a logistics automation platform with strong AI document processing capabilities, flexible integration, adaptive learning, and enterprise-grade security. Nanonets is purpose-built for exactly this, handling the full logistics document workflow from ingestion and extraction to validation and system delivery.

Logistics automation software is rapidly evolving beyond traditional document extraction. Several emerging trends are pushing logistics document automation toward deeper operational intelligence, more proactive supply chain management, and enhanced decision-making.

Generative AI for Document Assistance and Summarization:

Large language models are being applied to logistics document workflows to understand, synthesize, and generate freight-related content. Applications include customs declaration assistance with automated HS code suggestions, pre-filling of complex declarations based on historical shipment data, automated responses to freight inquiry emails, and summarization of lengthy shipping reports for logistics managers.

Intelligent Transportation Contract Analysis:

AI using natural language processing and machine learning is being applied to automatically read and extract key terms from lengthy, unstructured transportation contracts including freight agreements and warehousing contracts. Applications include automated extraction of pricing terms, demurrage clauses, and SLA commitments, ongoing compliance monitoring, and cost optimization across carrier contracts. Nanonets is actively integrating advanced NLP capabilities for logistics contract understanding.

Predictive Analytics and ETA Forecasting:

Combining AI-extracted data from logistics documents with real-time tracking data and historical patterns enables predictive capabilities beyond simple document processing. Applications include anomaly detection identifying suspicious patterns in manifests or unusual damage notations on proofs of delivery, and predictive ETA forecasting that factors in weather, customs processing times, and carrier performance history for more accurate arrival time predictions.

AI-Driven Document Validation Beyond Rules:

Advanced logistics automation software validates the reasonableness of extracted data based on learned historical norms, not just predefined rules. For example, flagging a freight invoice where the weight extracted from a bill of lading is unusually high for a known product type, even if it passes all basic format validation checks. This provides an additional layer of fraud detection and data quality assurance beyond rule-based matching.

Integration with Digital Twins and IoT Data:

Combining AI-extracted logistics document data including customs declarations and bills of lading with real-time sensor data from IoT devices tracking container temperature, humidity, and location, alongside digital twin models of freight networks, provides a holistic view of cargo condition and location. This enables proactive risk management, route optimization, and faster response to supply chain disruptions.

These emerging capabilities, which Nanonets and other leading logistics automation platforms are actively developing, promise greater efficiency, transparency, and operational intelligence across the full freight and supply chain workflow.

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Logistics automation software powered by AI agents

AI-powered logistics workflow automation for freight, documents, and email

Automated logistics inventory management and data extraction

Automated order processing and freight data entry

Freight process automation: Bills of Lading, PODs, and shipment status

Automated customs data extraction and freight compliance

Finance and accounting software integrations with SAP, NetSuite, Sage, and more

Build end-to-end logistics automation with Nanonets

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