A Straight Bill of Lading (SBOL) OCR data extractor is a specialised tool that uses OCR technology to capture and digitise data from a straight bill of lading, a non-negotiable transport document. The process involves scanning or photographing the SBOL, recognising the text and numbers present, and converting them into a digital format. AI then structures the extracted data according to business needs. Various service providers such as freight companies, logistics operators, and shipping managers typically use these kinds of tools to streamline their operations. After scanning the SBOL, the software identifies and digitises relevant information such as shipper and consignee details, commodity description, freight charges, and more. This data can be incorporated directly into logistic or supply chain management systems, doing away with the necessity for manual data entry.
The major benefits of using a Straight Bill of Lading OCR data extractor include enhanced productivity, accuracy, and efficiency. It significantly diminishes the time consumed in manual data entry, consequently allowing employees to prioritise more crucial tasks. Plus, it minimises the chance of errors that may occur from manual data entry, ensuring more accurate shipment records. Most importantly, as the extracted data can be directly fed into other digital systems, it simplifies data management and analysis. Therefore, it provides significant cost and time savings for businesses engaged in logistics and shipping.
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Transportation companies use our Straight Bill of Lading OCR data extractor for quicker data entry, providing accurate delivery documentation, and enhancing customer service.
Freight brokers integrate our OCR technology into their systems for quick and precise data extraction from straight bills of lading, enabling better inventory control and facilitating smooth transactions.
Insurance providers use our Straight Bill of Lading AI-powered OCR data extractor to digitise claims data related to transportation incidents for quicker and more accurate claim assessments.