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Logistics is a critical function in the supply chain, involving the planning, execution, and control of the movement of goods and materials from one location to another. Logistics processes have traditionally been manual and paper-based, leading to inefficiencies, errors, and delays in operations. However, with the advent of new technologies such as automated retrieval systems, robotic process automation(RPA), intelligent document processing and OCR (optical character recognition), logistics automation is becoming increasingly feasible.

This blog will describe how your business can start using logistics automation today, give a list of the best logistics automation systems for your business, and demonstrate how intelligent document processing and Nanonets can help in this process.

What is Logistics Automation ?

Logistics automation refers to the use of technology to automate processes in the supply chain. This can include everything from inventory management to order processing and delivery. The goal of logistics automation is to increase efficiency, reduce costs, and improve overall performance. With the right automation tools, logistics companies can streamline their processes and improve their bottom line.

Logistics is a complex and rapidly changing industry. There are many factors that can impact logistics operations, including changing customer demands, market conditions, and regulatory requirements. In order to stay competitive, logistics companies need to be able to adapt quickly to these changes.

Logistics automation is the answer, as it succeeds in reducing manual tasks and streamlining processes, allowing companies to focus on higher value activities.

Use Cases for Logistics Automation

Automation can be employed in logistics to automate various tasks. Here are the top use cases prevalent in logistics automation, along with resources on how you can get them up and running for your business -

  • Order Processing

Order processing automation is the most crucial part of logistics automation that can help businesses improve their efficiency and reduce costs. Here are some statistics that demonstrate the benefits of order processing automation:

Overall, order processing automation can help logistics businesses improve their efficiency, reduce costs, and improve customer satisfaction. By implementing automation, businesses can process orders faster, reduce errors, and improve their bottom line.

We help Ascend Properties save 80% on processing costs by automating invoices.

We will further explore how Nanonets can help with logistics automation in another section below. Skip to section now.


Are you looking for a logistics automation system for your business? Look no further! Try Nanonets for free.


  • Transportation Management

Transportation management is another area where logistics automation can be used. Automation can help companies optimize transportation routes, reduce transportation costs, and improve delivery times.

According to a study conducted by MarketsandMarkets, the transportation management system (TMS) market size is expected to grow from USD 78.20 billion in 2021 to USD 150.66 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 14.0% during the forecast period.

One of the main drivers of this growth is the increasing adoption of automation in transportation management. Automation can help logistics businesses streamline their operations, reduce costs, improve visibility, and increase efficiency.

For example, a survey conducted by EFT revealed that companies that implemented a TMS reported a reduction in freight costs of up to 8%, while also experiencing improved shipment visibility and reduced manual labor costs.

Here are the top transportation management

  1. Oracle: Oracle Transportation Management (OTM) is a leading TMS software platform that provides end-to-end transportation planning and execution capabilities. https://www.oracle.com/scm/logistics/transportation-management/
  2. SAP: SAP Transportation Management (SAP TM) is an enterprise-level TMS that provides real-time visibility and collaboration across transportation networks. https://www.sap.com/industries/cargo-transportation-logistics.html
  3. JDA Software: JDA Transportation Management is a TMS that optimizes transportation planning and execution across all modes of transportation, including air, sea, and rail. https://www.blueyonder.com/solutions/transportation-management
  4. BluJay Solutions: BluJay Transportation Management is a cloud-based TMS that provides real-time visibility, automation, and collaboration across the supply chain. https://www.blujaysolutions.com/products/transportation-management/
  5. MercuryGate: MercuryGate Transportation Management System is a cloud-based TMS that provides end-to-end transportation planning and execution capabilities, including rate management, load planning, and carrier selection. https://mercurygate.com/products/transportation-management-system-tms/
  • Inventory Management

Inventory Management can help companies track inventory levels in real-time, reducing the risk of stockouts and overstocking. This can help companies reduce inventory carrying costs and improve order fulfillment times.

Here are some of the top companies offering automated inventory management solutions:

  1. Oracle: Oracle offers a range of inventory management solutions, including its flagship Oracle Inventory Management Cloud, which provides real-time inventory visibility, optimization, and control. https://www.oracle.com/scm/inventory-management/
  2. SAP: SAP offers an inventory management solution called SAP Inventory Manager, which enables real-time tracking, monitoring, and control of inventory levels. https://www.sap.com/products/scm/aatp.html
  3. Zoho Inventory: Zoho Inventory is a cloud-based inventory management software that automates inventory tracking, order management, and fulfillment processes. https://www.zoho.com/inventory/
  4. Fishbowl Inventory: Fishbowl Inventory is an inventory management software that integrates with popular accounting and eCommerce platforms to automate inventory tracking, ordering, and fulfillment. https://www.fishbowlinventory.com/
  5. QuickBooks Commerce: QuickBooks Commerce (formerly TradeGecko) is an inventory management software that provides real-time inventory tracking, automation of order and fulfillment processes, and integration with eCommerce platforms. https://quickbooks.intuit.com/quickbooks-commerce/

Logistics Automation Using Nanonets

Nanonets provides OCR and inteliigent document processing solutions, which have wide ranging use cases -

  1. Invoice Processing: Automated data capture from invoices using OCR can help logistics companies to reduce the time and resources required to process invoices. OCR technology can read and extract data from invoices, such as supplier name, invoice number, and payment terms, and convert it into digital format. This eliminates the need for manual data entry and reduces the risk of errors. This can also be integrated with accounts payable automation to further streamline the payment process. Start Invoice Processing with Nanonets today.

2. Bill of Lading Processing: Automated data capture from bills of lading using OCR can help logistics companies to streamline their shipment tracking and tracing processes. OCR technology can read and extract data from bills of lading, such as shipment date, destination, and carrier information, and convert it into digital format. This enables logistics companies to track shipments more effectively, identify delivery issues more quickly, and provide customers with more accurate delivery information. Start Bill of Lading Processing with Nanonets today.

3. Delivery Note Processing: Automated data capture from delivery notes using OCR can help logistics companies to improve their customer service levels. OCR technology can read and extract data from delivery notes, such as customer name, delivery address, and delivery date, and convert it into digital format. This enables logistics companies to provide customers with more accurate and timely information about their shipments, reducing the risk of customer complaints and improving customer satisfaction. Start Delivery Note Processing with Nanonets today.

4. Purchase Order Processing: Automated data capture from purchase orders using OCR can help logistics companies to improve their inventory management processes. OCR technology can read and extract data from purchase orders, such as product name, quantity, and price, and convert it into digital format. This enables logistics companies to manage their inventory more effectively, reducing the risk of stockouts and overstocking. Start Purchase Order Processing with Nanonets today.

5. Customs Document Processing: Automated data capture from customs documents using OCR can help logistics companies to comply with regulatory requirements. OCR technology can read and extract data from customs documents, such as import/export declaration forms and commercial invoices, and convert it into digital format. This enables logistics companies to comply with customs regulations more effectively, reducing the risk of penalties or fines. Start Customs Processing with Nanonets today.

6. Accounts Payable Automation: Automated data capture from invoices and other financial documents using OCR can be integrated with accounts payable automation to further streamline the payment process. This can include features such as automated invoice routing, approval workflows, and payment processing. Start Accounts Payable Automation with Nanonets today.

7. Data Management: Automated data capture from documents using OCR can also help logistics companies to manage their data more effectively. By converting data into digital format, logistics companies can store and manage their data in a centralized location, making it easier to search, retrieve, and analyze. This can also help to reduce the risk of data loss or duplication. Start here.

Nanonets can automate extracting structured data from any kind of unstructured documents, reducing manual labour, costs, and inefficiencies along the way.


Are you looking for a logistics automation system for your business? Look no further! Try Nanonets for free.


Case Studies of Logistics Automation Systems

Intelligent Document Processing for Logistics Automation

ntelligent document processing (IDP) is a crucial component of logistics automation. IDP is the use of artificial intelligence (AI) and machine learning (ML) algorithms to automate the processing of documents such as invoices, bills of lading, and purchase orders. In logistics, where document processing is an essential part of every transaction, IDP can help companies streamline their operations, reduce errors, and improve efficiency.

Nanonets OCR is one of the best solutions for businesses looking to implement IDP as part of logistics automation. Nanonets OCR uses advanced AI and ML algorithms to accurately extract data from various documents, including handwritten and printed text, tables, and images. This technology can help logistics companies automate document processing and eliminate manual data entry, which can save time and reduce errors.

One of the main benefits of Nanonets OCR is its accuracy. The software uses a combination of pre-trained models and customized models to recognize and extract data from documents. This means that the software can accurately recognize and extract data from different types of documents, including invoices, bills of lading, and purchase orders. This can help logistics companies to reduce errors and ensure that their transactions are processed accurately.

Another benefit of Nanonets OCR is its flexibility. The software can be easily integrated into existing workflows and can be customized to meet the specific needs of different businesses. This means that businesses can use Nanonets OCR to automate document processing and improve efficiency without having to completely overhaul their existing systems.

Nanonets OCR can also help logistics companies to improve their customer service. By automating document processing, logistics companies can reduce the time it takes to process transactions and respond to customer inquiries. This can help to improve customer satisfaction and build customer loyalty.

There are several use cases where Nanonets OCR can be used to automate document processing in logistics. Some examples include:

  1. Invoice processing: Nanonets OCR can be used to automatically extract data from invoices, such as invoice numbers, invoice dates, and line item details. This can help to streamline the accounts payable process and reduce errors.
  2. Bill of lading processing: Nanonets OCR can be used to automatically extract data from bills of lading, such as shipment details, carrier information, and consignee information. This can help to streamline the shipping process and improve accuracy.
  3. Purchase order processing: Nanonets OCR can be used to automatically extract data from purchase orders, such as item descriptions, quantities, and prices. This can help to streamline the procurement process and improve accuracy.

In summary, intelligent document processing is an essential component of logistics automation. By using Nanonets OCR, logistics companies can automate document processing, reduce errors, and improve efficiency. Nanonets OCR is a flexible and accurate solution that can be customized to meet the specific needs of different businesses. With Nanonets OCR, logistics companies can improve their customer service and build customer loyalty.


Are you looking for a logistics automation system for your business? Look no further! Try Nanonets for free.


Try Nanonets for Logistics Automation Today

Nanonets OCR (Optical Character Recognition) is a powerful automation technology that can help businesses with logistics automation by streamlining data capture from documents. By using Nanonets OCR, logistics companies can automate the process of extracting data from a wide range of documents, including bills of lading, purchase orders, and invoices, which can help to reduce manual labor and increase efficiency.

Here are some specific use cases of Nanonets OCR in logistics automation:

  1. Automated invoice processing: Logistics companies receive thousands of invoices every day, which can be a time-consuming and error-prone task to process manually. By using Nanonets OCR, businesses can automate the process of invoice data capture, reducing manual labor and increasing accuracy. The technology can recognize specific data fields such as supplier names, invoice numbers, and line item details, allowing businesses to process invoices more quickly and accurately. For example, a logistics company might use Nanonets OCR to automatically extract data from invoices received from carriers, reducing the time and cost of manual processing.
  2. Automated order processing: Logistics companies need to process a high volume of orders quickly and accurately to meet customer demand. Nanonets OCR can be used to automate the process of order data capture, reducing manual labor and increasing efficiency. The technology can recognize specific data fields such as customer names, order numbers, and delivery addresses, allowing businesses to process orders more quickly and accurately. For example, a logistics company might use Nanonets OCR to automatically extract data from orders received from e-commerce platforms, reducing the time and cost of manual processing.
  3. Automated document management: Logistics companies need to manage a large volume of documents, such as bills of lading and packing slips, which can be time-consuming and error-prone to process manually. Nanonets OCR can be used to automate the process of document data capture, reducing manual labor and increasing efficiency. The technology can recognize specific data fields such as product names, quantities, and serial numbers, allowing businesses to manage documents more quickly and accurately. For example, a logistics company might use Nanonets OCR to automatically extract data from bills of lading received from carriers, reducing the time and cost of manual processing.

In summary, Nanonets OCR is a powerful logistics automation system for logistics companies looking to streamline their operations and increase efficiency. By automating the process of data capture from documents, businesses can reduce manual labor, increase accuracy, and improve customer satisfaction. Whether it's automating invoice processing, order processing, or document management, Nanonets OCR can help logistics companies take their operations to the next level.


Are you looking for a logistics automation system for your business? Look no further! Try Nanonets for free.