DENCYU Inc., headquartered in Fukuoka City, Fukuoka Prefecture and led by CEO Takumi Tanaka, has launched an “AI Excel Parsing Feature” for its conversational data utilization AI agent, DataBuddy. The feature allows AI to automatically analyze Excel files and convert them into structured data. It supports Excel files used directly on the front line, including daily reports and forms in manufacturing. In many workplaces, Excel is used for daily reports and forms rather than as a proper data foundation. As a result, teams face obstacles when trying to analyze or aggregate data, such as difficulty converting complex Excel files with merged cells into structured data and extra work caused by different report and form formats across factories and sites. To address these issues, DataBuddy developed a feature that automatically reads the structure of forms and converts them into a format ready for analysis and aggregation. The feature also enables integration, aggregation, and analysis with data obtained from core systems and APIs. Users only need to upload .xlsx or .xlsm files. The AI automatically interprets the data structure and converts it into structured data, without requiring predefined formats or rule settings. Key features include automatic interpretation by AI, which classifies elements such as titles, metadata, data tables, and free-text fields based on visual cues like merged cells, cell formatting, borders, and background colors. Users can also adjust extraction results through natural-language chat instructions such as “treat this column as a date” or “exclude metadata,” without writing rules or scripts. Normalized results can be previewed before being applied, allowing users to visually check column types and missing values. In addition, once AI has structured a form, the conversion rules can be saved as reusable “skills,” enabling the same structured output instantly from the second upload onward for forms in the same format. A customer said that Excel fil