導入事例・制作実績

We were consulted by a retail company that receives orders via postal mail and fax, seeking support for promoting digital transformation (DX). Given that many of their customers are elderly, it was difficult to eliminate paper-based processes entirely. To address this, we introduced OCR (Optical Character Recognition) technology to automatically extract text from printed order forms, improving operational efficiency. By combining this with our proprietary technologies, we achieved high-precision data recognition that would be difficult with standard OCR solutions.

Background

・Dozens of paper-based order forms were manually entered into the system each day, resulting in frequent delays in order processing and numerous transcription errors.

・The high workload made it difficult to allocate sufficient resources to customer service and service quality improvement.

Solution

We built a system that uses OCR to automatically recognize paper-based order forms and instantly import the order information into the system.
To handle cases that are typically difficult for standard OCR—such as handwritten text, misalignment from fax transmissions, and image distortion—we combined our proprietary correction and recognition technologies, significantly improving data accuracy.

Results

・The introduction of OCR dramatically improved the speed and accuracy of order processing.

・By reducing transcription errors and lowering the operational burden, a structure was established that enables greater focus on customer service and improving service quality.

・While promoting digital transformation (DX), the system also allowed for flexible operations that accommodate the continued use of paper-based processes.