Obtaining text information from images using an OCR engine! A case study that achieved improved efficiency in invoice processing.
We would like to introduce a case study of implementing automated document reading (AI-OCR) in the transportation industry. The company faced the challenge of wanting to reduce manpower in sorting the types of slips sent by shippers and inputting details (such as address, phone number, product number, etc.). Therefore, they created a model that retrieves text information from images using an OCR engine and outputs the corresponding text for receipt types and each item. This led to improved operational efficiency in slip sorting. 【Case Overview】 ■Industry: Transportation ■Business: Receipt sorting operations ■Challenges: Labor reduction, automation, AI-OCR ■Analytics and AI Solutions - Retrieve text information from images using an OCR engine - Create a model that outputs the corresponding text for receipt types and each item *For more details, please refer to the PDF document or feel free to contact us.
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【Effect】 ■ By building a system that automatically retrieves items (company name, address, product number, etc.) within the invoice, we have achieved improved operational efficiency in invoice processing. * For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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