AI reads orders from FAX, paper, and PDF, while confirmation is done by a person. Automation extends to inputting into the core system.
"DocSync" is an AI-OCR automatic input system that eliminates manual entry of order forms and purchase orders occurring in the manufacturing industry's order-taking sites. It also supports automatic expansion of handwritten, faded, carbon-copy forms, and forms with overlapping seals, as well as the unique "〃 (ditto)" symbol found in FAX communications. The reading results display confidence levels for each item, and areas requiring confirmation are highlighted in color on the screen, allowing users to only check and correct items with low confidence. [Features] ■ Reads handwritten, faded, carbon-copy forms, and overlapping seals ■ Highlights areas requiring confirmation in color ■ Prevents double registration ■ Can be canceled within 3 months with no penalty *For more details, please download the PDF or feel free to contact us.
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basic information
【Reading Items】 ■Order/Order Number ■Order Date ■Client Name ■Delivery Location ■Details (Item Number, Item Name, Quantity, Unit, Unit Price, Desired Delivery Date) *For more details, please download the PDF or feel free to contact us.
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![[Information] How to Eliminate Manual Data Entry of FAX and Email Order Forms with AI Automatic Input](https://image.mono.ipros.com/public/catalog/image/2117324/IPROS11270898293450838466.jpeg?w=120&h=170)
![[Data] Automatic import of order drawings using AI-OCR.](https://image.mono.ipros.com/public/catalog/image/2117324/IPROS9223082011420968093.jpeg?w=120&h=170)
Company information
Anomaly Inc. is a company engaged in the development, sales, and operation of business applications. We understand business from the same perspective as the manufacturing industry and utilize generative AI development methods to achieve system construction in a short period and at low cost. We provide DX that balances speed and quality. To those in the manufacturing industry who feel that "large-scale overhauls are difficult" but "staying as we are has its limits," we propose practical DX that steadily leads to results while minimizing risks.
