Knewit's AI OCR for 'Newit Juchu' Receives Major Update: Fully Automated Processing from Reading Order and Quotation Documents to Core System Registration with Optimal Data Quality and Format for Streamlining Order Response and Quotation Management

Knewit Inc. (Headquarters: Chiyoda-ku, Tokyo; CEO: Naoya Ogawa; hereinafter 'the company') has significantly upgraded the AI OCR functionality embedded in its order management product 'Newit Juchu' and is now launching a full-scale rollout targeting the manufacturing, logistics, and trading sectors.

This new functionality goes beyond merely reading documents. It automatically ingests order forms and quotation requests, standardizes their formats—which vary by client—according to the company's internal management rules, and automatically registers the data into core databases. Depending on configuration, it can even proactively digitize information required in downstream processes. This provides a practical solution to long-standing challenges in order management, such as reliance on individual expertise, data entry errors, and difficulties in talent acquisition.

Background: Order Processing Still Heavily Reliant on Human Experience

Order management operations face several deep-rooted challenges. Determining whether an incoming document is an order form or a quotation request, or whether the sender is an existing or new client, is largely left to the experience of individual staff. Document formats vary widely by client, employee, and product, with no standardized format across industries. Even when referring to the same item, naming conventions and part numbers often differ between internal systems and client records.

Manually entering data from paper or PDF documents is time-consuming and prone to transcription errors and the need for double-checking. When decision-making know-how is concentrated in specific individuals, it becomes difficult to hire and train new staff. Growing interest in using AI OCR to streamline order management stems directly from these persistent challenges.

What This Functionality Enables

The AI OCR in Newit Juchu performs three major processing steps aligned with the order management workflow:

Automatic Document Classification

The AI automatically identifies the type of incoming document—such as order form or quotation request—and determines whether the client is new or existing.

Automatic Conversion to Internal Rules and Formats

The system converts varying client-specific notations, product names, and specifications into the company's internal terminology and codes.

Automatic Data Registration into Databases

The processed and standardized data is automatically imported into the corresponding fields within Newit Juchu's database.

Additionally, the AI can infer and fill in missing information such as specification codes or units based on client-specific rules and historical transaction context. Client-specific decision logic is designed by the company's consultants, who consider industry-specific practices and continuously refine the system during operation.

Consultant Support Enables Customized Reading Design for Each Company

Furthermore, the system incorporates a learning mechanism that reflects human verification of output accuracy. By having staff perform final checks, the AI learns from corrections and avoids repeating the same mistakes, continuously improving over time.

Differentiation from Other AI OCR Solutions

AI OCR is a competitive area with many players. The key distinction of Newit Juchu's AI OCR is that it is not offered as a standalone OCR service, but as a function deeply integrated into business workflows with the goal of optimizing the entire order management process.

Rather than simply 'reading required fields and stopping,' the AI can infer and determine information not explicitly stated in order forms—such as payment methods—by referencing client-specific operational rules and past transaction contexts. Moreover, it proactively digitizes not only data needed immediately after order entry but also information required in downstream processes. This reduces rework in input, verification, and handover tasks, enabling seamless integration across the entire operation.

By enabling end-to-end design from 'reading → judgment → completion → registration' with AI OCR as the starting point, this solution allows for reengineering the entire order management process—not just document processing—thereby eliminating human dependency and promoting standardization.

It's not just about 'reading and stopping'—it connects the entire post-reading order workflow. Newit Juchu's AI OCR is an AI that systematizes document processing into a full business operation.

This service achieves full automation of corporate operations by combining the following three layers of features:

Perspective

Typical AI OCR

Newit Juchu's AI OCR

Core Value

Document reading only

End-to-end automation of order management (reading → conversion → registration)

Scope of Delivery

Text digitization of documents

Core data registration and subsequent order processing

Company-Specific Adaptation

Primarily centralized using generic OCR engines

Consultants design custom decision logic for each client using prompt engineering

Benefits of This Functionality

By transferring decision-making in order processing to AI, companies can eliminate dependency on specific individuals. Reduced data entry errors lead to more consistent customer service quality. The reduction in daily manual input workload allows teams to manage higher volumes even with limited staffing. Additionally, since this functionality operates as part of an existing order management product, there is no need to build a new system from scratch.

Future Outlook

The company plans to expand the range of document types that can be processed and broaden support for diverse document formats. This will further accelerate the digital transformation of order management across manufacturing, logistics, trading, and other industries.

About Knewit Inc.

The company is a startup challenging the transformation of increasingly complex supply chains in the 'Supply Chain Re-engineering (SCR)'® domain. It offers implementation support for supply chain restructuring and provides 'Newit,' a DX-promoting product suite, as solutions for supply chain and logistics industries.