Cinnamon Co., Ltd., which has one of Japan's leading artificial intelligence (hereinafter referred to as "AI") document reading engines, has announced the "Flax Scanner Order Processing Efficiency Service" that utilizes AI-OCR. We have started recruiting first version users, and this service is scheduled to be officially available from April 2019.

 

At Cinnamon, we have implemented demonstration experiments and actual implementation of the AI document reading engine "Flax Scanner" to more than 50 customers. In order to introduce AI, we have consulted with more than 1,000 companies regarding the introduction of AI, and we are working to improve the efficiency of general ordering operations such as purchase orders, acceptance confirmations, delivery notes, acceptance statements, and invoices. We have received a strong need to utilize AI-OCR. Against this background, starting in April 2019, we will be pre-tuning the "Flax Scanner" for ordering documents and providing it to more companies. We will start providing "Efficiency Service".

 

In addition, in order to successfully introduce AI, it is important to clarify the purpose and goals of AI and calculate how much efficiency will be improved, rather than simply pursuing accuracy. Specifically, while verifying accuracy through demonstration verification, we will draw up a new business flow for the work that we want to make more efficient with AI, and share within the company the economic implementation effects and post-implementation workflow for practical application. A process such as this is required. On the other hand, it was difficult for corporate personnel alone to lead these entire projects, and the help of AI experts was needed. At this time, Cinnamon will start providing an "AI Introduction Assessment Service" based on its track record of introducing AI to major domestic companies.

 

By utilizing the above-mentioned "AI Implementation Assessment Service" and introducing the "Flax Scanner Order Processing Efficiency Service," we will provide more feasible and effective AI implementation.

 

■Service overview

From April 1, 2019, we will start providing a service that combines AI assessment and AI-OCR compatible with ordering forms to help companies streamline their ordering operations.

 

1. AI introduction assessment service

By implementing an AI assessment service for up to three months before introducing AI-OCR, we will provide support for organizing the business flow and target documents to which AI will be applied, calculating the effects of the introduction, and formulating an AI introduction roadmap.

(*AI service assessment introduction roadmap/example of introduction effect estimation)

 

2. Flax Scanner order processing efficiency service

Based on the results formulated in the above AI implementation assessment, we will read the forms (*) for order-related operations using AI-OCR and provide the reading results as data.

(*)Purchase order, acceptance inspection receipt, delivery note, acceptance statement, and invoice. The number of applicable forms will be expanded from time to time.

(*Scope of ordering operations supported by Flax Scanner ordering efficiency service first version)

 

■Recruitment of first version and holding of briefing session

We have started recruiting first version users and are holding a briefing session for the "Flax Scanner order processing efficiency service" that utilizes AI-OCR. To apply for the briefing session, please register from the URL below.

https://cinnamon.is/seminar/

 

■Future outlook

Going forward, Cinnamon will build a further foundation as an AI platform with the theme of "improving white-collar productivity" and will work on developing various products that promote business improvement. Specifically, we will expand our product lineup of business-specific solutions following the "Flax Scanner order processing efficiency service" that utilizes AI-OCR.

 

[Cinnamon Co., Ltd. Company Profile]

Company name: Cinnamon Co., Ltd.

URL: https://www.cinnamon.is

Address: 6th floor, MTP Higashiazabu Building, 1-9-16 Higashiazabu, Minato-ku, Tokyo

Established: October 2016

Representative: Mirai Hirano, Representative Director and CEO

 

■Business content: Artificial intelligence product business, artificial intelligence consulting business

Cinnamon provides proprietary artificial intelligence engines centered on the AI OCR "Flax Scanner" that reads documents like a human, and has a track record of providing it to many major domestic companies. doing. We also have an artificial intelligence research institute in Vietnam and have succeeded in acquiring a large number of AI engineers.

Since introducing "Flax Scanner" in April 2017, we have had business negotiations with over 1,000 companies and have provided top-class technology in the AI OCR field in Japan.

In addition, through the artificial intelligence chatbot ``Scuro Bot'' and the recommendation engine ``Lapis Engine,'' we will respond to inquiries, set interview times, offer job offers at human resources companies, and contract rates for rental properties. We provide matching algorithms that enhance the

Furthermore, we recently pre-launched the development of specialized voice recognition technology "Rossa Voice" and have begun demonstration experiments.

 

■Overview of main product “Flax Scanner”

Most of the business documents used on a daily basis are unstructured and require human effort to incorporate into business systems, resulting in a lot of waste in white-collar work. Cinnamon uses an artificial intelligence document reading engine to fundamentally reform white-collar work. A variety of documents can be supported, including PDFs, Word files, and paper documents such as printed and handwritten documents. Currently, we provide engines to many major companies, including those in the financial and insurance industries.

 

【Features】

By enabling AI to understand various business documents and import them into a database, white-collar work efficiency will be drastically improved.

1) Can be read even if the format is unspecified

2) Handwritten character reading accuracy is 99.2% in research data and 95-98% in real data.

3) Automatic correction of read data by building a unique database

4) Compatible with both on-premises and cloud, and can be constructed according to the customer's security policy