Yasuda Logistics Adopts Generative AI for Document Digitization: Implementing Hacobu's 'MOVO Adapter' AI-OCR
Key facts
- Yasuda Logistics Adopts Generative AI for Document Digitization: Implementing Hacobu's 'MOVO Adapter' AI-OCR
- Yasuda Logistics has implemented Hacobu's generative AI-powered OCR, 'MOVO Adapter,' at its Heiwajima branch to streamline the digitization of unstructured logistics documents. By automating the extraction of data from handwritten or non-standard forms into CSV format, the company aims to reduce manual input and accelerate logistics DX. Operations began on April 20, 2026, with plans for company-wide expansion.
- Source: PR Times
- Date: June 2, 2026
Direct answer
Yasuda Logistics has implemented Hacobu's generative AI-powered OCR, 'MOVO Adapter,' at its Heiwajima branch to streamline the digitization of unstructured logistics documents. By automating the extraction of data from handwritten or non-standard forms into CSV format, the company aims to reduce manual input and accelerate logistics DX. Operations began on April 20, 2026, with plans for company-wide expansion.
- Citation
- Yasuda Logistics Adopts Generative AI for Document Digitization: Implementing Hacobu's 'MOVO Adapter' AI-OCR (June 2, 2026), PR Times
- Source
- PR Times
- Date
- June 2, 2026
Yasuda Logistics has implemented Hacobu's generative AI-powered OCR, 'MOVO Adapter,' at its Heiwajima branch to streamline the digitization of unstructured logistics documents. By automating the extraction of data from handwritten or non-standard forms into CSV format, the company aims to reduce manual input and accelerate logistics DX. Operations began on April 20, 2026, with plans for company-wide expansion.
📋 Article Processing Timeline
- 📰 Published: June 2, 2026 at 20:11
- 🔍 Collected: June 2, 2026 at 11:20
- 🤖 AI Analyzed: June 2, 2026 at 12:21 (1h 1m after Collected)
The background for this implementation lies in the challenge of digitizing 'unstructured documents' in logistics. The industry handles a wide variety of document formats, and those with handwritten corrections or marginal notes have been difficult to read automatically. Yasuda Logistics struggled with varying shipping and receiving request forms from different clients. With MOVO Adapter, the AI 'reads and understands' the content, allowing for automatic extraction without the need for pre-defined position settings.
The implementation targets the Heiwajima branch, with operations starting on April 20, 2026. The system processes shipping and receiving requests and outputs them in CSV format. Future plans include company-wide deployment and integration with Warehouse Management Systems (WMS).
FAQ
Is this case study applicable to logistics companies in Taiwan?
Yes. Logistics companies in Taiwan face similar challenges with manual document processing, making generative AI-based OCR a highly effective DX strategy.
What are the key facts in this article?
Yasuda Logistics has implemented Hacobu's generative AI-powered OCR, 'MOVO Adapter,' at its Heiwajima branch to streamline the digitization of unstructured logistics documents. By automating the extraction of data from handwritten or non-standard forms into CSV format, the company aims to reduce manual input and accelerate logistics DX. Operations began on April 20, 2026, with plans for company-wide expansion.
What is the direct answer?
Yasuda Logistics has implemented Hacobu's generative AI-powered OCR, 'MOVO Adapter,' at its Heiwajima branch to streamline the digitization of unstructured logistics documents. By automating the extraction of data from handwritten or non-standard forms into CSV format, the company aims to reduce manual input and accelerate logistics DX. Operations began on April 20, 2026, with plans for company-wide expansion.