AI in Transportation
In Germany, the logistics and transportation industry is one of the largest economic sectors. However, globalization and digitalization mean that transport is also undergoing change: the buzzword is Logistics 4.0.
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Typical use cases of our AI software
Whether claims, procurement processes or invoice processing – our AI-based IDP platform solves a variety of use cases and helps companies to increase efficiency, increase sales and reduce risks.
Delivery Bills
Can delivery bills also be processed? Yes, that’s no problem. Delivery bills accompany the delivered goods and confirm which items were delivered and in what quantity. They are important for reconciliation with the invoice to ensure that the items delivered match the items invoiced.
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Use of AI in the transport and logistics industry
The logistics and transportation industry includes a variety of complex tasks such as warehouse management, route planning and supply chain management. These tasks require fast processing of data and documents and it is well known that logistics is a document-intensive industry.
A major challenge of the present and future is that a lot of business data, especially in transportation, is only available in unstructured formats. Artificial intelligence (AI) can help to analyze data and identify patterns. By using AI, companies in the logistics industry can optimize their operational processes, shorten delivery times, reduce costs and improve the overall quality of their services.
As described above, the logistics industry offers an ideal field of application for artificial intelligence. While some companies are already using AI, the potential remains largely untapped for many companies. Intelligent document processing is changing the way the logistics industry deals with the daily flood of documents. IDP (Intelligent Document Processing) solutions are ideal for optimizing processes and increasing efficiency in logistics and transport. IDP combines document processing, machine learning (ML), artificial intelligence (AI) and robotic process automation (RPA) and can therefore automate a variety of tasks in transportation.
In the transportation sector, inefficient transport routes lead to high costs and longer delivery times. By efficiently analyzing data and information through the use of IDP software, the technology can help to make route planning more efficient. An IDP solution such as ExB’s also ensures transparency and traceability across the entire supply chain.
Exemplary use cases for AI and IDP in transportation include:
- Waybill management: IDP not only handles data extraction, but also the sorting of waybills.
- Management of fuel invoices: By using IDP, invoices from transport companies are automatically read, analyzed and categorized. The data can then be fed into the accounting system or transmitted to customers.
- Service optimization: The use of an IDP platform enables access to current data such as delivery status or terminal information.
- Reporting: Fast and accurate reporting is essential in the transportation industry. IDP can quickly create customized and insightful reports based on the information extracted from the documents.
Advantages of AI in the transportation industry
The use of technologies based on artificial intelligence brings a variety of benefits that help logistics companies to make their business processes more efficient and cost-effective. The most important benefits include
- Time savings: AI technologies automate repetitive tasks and processes that would normally take a lot of time. Automation allows employees to focus their time on more challenging tasks, increasing productivity and efficiency.
- Cost savings: The use of Intelligent Document Processing (IDP) significantly reduces the need for manual data entry and verification. This reduces personnel costs and makes more efficient use of resources. Companies can reduce their operating costs and increase their profitability.
- Compliance and data security: AI-based technologies such as IDP can help to improve compliance with legal regulations and data protection requirements. Through automated checks and controls, companies can ensure that sensitive data is protected and compliance requirements are met.
- Risk mitigation: By automatically detecting discrepancies, potential problems can be identified and resolved at an early stage.
- Increased efficiency: The automatic capture and processing of data (especially unstructured data) reduces manual intervention and speeds up the entire process.
ExB for the transportation industry
Find out more about how you can use IDP for the logistics industry and contact us without obligation.
The future of logistics
Intelligent Document Processing (IDP) can make a valuable contribution to making logistics processes significantly more time and cost efficient. In this white paper, you will learn what Intelligent Document Processing is and how the introduction of an IDP platform can – and is already – revolutionizing the logistics industry.
“Thanks to ExB’s software, we were able to master the challenges of document processing in the logistics sector. The automatic assignment of order documents and the generation of instructions for our employees have significantly simplified and accelerated our processes.”
“ExB’s advanced technology enabled us to not only overcome AGILA’s challenges in animal health insurance, but also to provide added value. The high precision and automation of ExB’s AI extraction was a key factor in this.”
“When it comes to innovation, we’ve come to see ExB as the thought leader in AI and IDP, and a valuable sparring partner capable of championing the key strategic role of ML and automation.”
“Thanks to the collaboration with ExB, we have been able to tremendously optimize our email processes in conjunction with our procurement system. It is as if we have received a digital extension of our team, working tirelessly and accurately.”
Further information about AI Transport
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