Yasuda Warehouse Adopts Hacobu's 'MOVO Adapter' AI-OCR to Read and Digitize Documents With Generative AIA · FULL TRANSLATION
- Yasuda Warehouse adopted Hacobu's AI-OCR 'MOVO Adapter'
- The tool uses generative AI to 'read and understand' documents before digitizing them
- The goal is to auto-convert logistics paperwork into data
- It reduces manual entry and improves on-site logistics efficiency
- It is a concrete case of AI-driven digitization in logistics
Logistics digitization has long been stuck on too much paper: delivery and receiving slips and forms still rely on manual entry. Yasuda's generative-AI OCR does more than scan and recognize; it lets AI 'understand' a document's meaning and structure it, handling messy, varied slips better than traditional OCR.
On labor-strapped logistics floors, freeing people from repetitive keying delivers clear, direct gains. It also shows generative AI moving from chat to unglamorous but highly practical back-office automation. For Taiwan's equally short-staffed logistics and warehousing, document automation is a high-value first step. As AI replaces paperwork, are freed workers redeployed to higher-value tasks, or simply cut?
Yasuda Warehouse (headquartered in Minato, Tokyo; President Kazunari Ogawa) and Hacobu (headquartered in Minato, Tokyo; President and CEO Taro Sasaki) announced that Yasuda Warehouse has adopted Hacobu's AI-OCR 'MOVO Adapter.'
'MOVO Adapter' uses generative AI not only to recognize text on documents but to 'read and understand' their content before structuring and digitizing it. Compared with traditional OCR, it better handles logistics slips of varying formats, automatically converting paper documents into usable data and reducing the burden of manual entry.
The two companies say they hope the adoption will improve efficiency on logistics floors and advance digital transformation across the logistics industry.