Evolved through AI Integration: 'Super Mapple Digital 27' Map Software to be Released July 3rd

Shobunsha Holdings (HQ: Chiyoda-ku, Tokyo; President: Shigeo Kuroda; TSE code: 9475) and its subsidiary Mapple (same HQ; President: Yuki Obinata; hereinafter "Mapple") announced the release of 'Super Mapple Digital 27,' the latest version of their installed map utilization software, on July 3, 2026. The software will be available at PC shops, home electronics retailers, e-commerce sites, and their official online store nationwide.

The new version includes a 'Point Information Output' function that instantly aggregates information such as addresses and surrounding facilities for a specified location. Furthermore, it is equipped with an 'AI Integration' feature, enabling seamless transfer of the aggregated data to external AI tools for evaluation and analysis. This automates massive data processing and manual verification tasks, strongly supporting the efficiency of local assessments and area analyses across all industries, while facilitating rapid decision-making.

Features of Super Mapple Digital 27

'Super Mapple Digital' is a Windows mapping software used by numerous customers, featuring various datasets including digital maps, addresses, POI (search data), administrative districts, road networks, and tourist areas.

In 'Super Mapple Digital 27,' the company has pursued greater convenience in core functions by adopting a new approach that allows for the bulk extraction and confirmation of surrounding information on a map. By enhancing the practicality and advanced nature of the business map software, it strongly supports rapid local assessments and area analyses for industries such as real estate, construction, and transportation/logistics.

[New Feature] 'Point Information Output' Function for Comprehensive Visualization

By simply right-clicking any point on the map, users can instantly aggregate vast amounts of information, including address zones, coordinate data, and the types/counts of surrounding facilities (stations, convenience stores, etc.), and output it all at once as organized text data.

Tasks of understanding and digitizing the surrounding environment, which previously relied on manual visual checks or individual searches—often leading to lost time and overlooked information—can now be completed in just a few seconds. This allows for a comprehensive grasp of objective data, such as facility types and counts in the target area, providing accurate data to support local assessment decisions.

Furthermore, data aggregated via this function can be smoothly linked to external generative AI (Copilot, ChatGPT, Gemini, etc.) via buttons within the dialog box.

This function includes five pre-configured 'analysis menus' (AI prompts) optimized for specific business objectives, drawing on years of expertise in map utilization.

By simply inputting the outputted 'Point Information' text into AI, the system instantly analyzes the 'potential risks' or 'values' hidden behind objective data, guiding users toward practical evaluation reports and concrete actions.

### Overview of the Five Analysis Menus

- **Real Estate/Developers (Real Estate Valuation):** Calculate asset value based on land prices and surrounding facilities. Objectively diagnose the future potential of a location from both residential and commercial perspectives. - **Construction/Housing Manufacturers (Initial Land Acquisition Assessment):** Identify 'fatal constraints' from land use and hazard data. Support development feasibility assessments considering construction and neighborhood adjustment risks. - **Manufacturing/Finance (Disaster Risk/BCP):** Extract disaster risks based on hazard data. Support the creation of practical BCP (Business Continuity Planning) measures assuming the worst-case scenario. - **Logistics/Route Sales (Sales/Delivery Efficiency):** Analyze road access and surrounding facilities to consider the validity of patrol routes. AI suggests hints for on-site actions. - **Think Tanks/Government (Site Analysis):** Multi-dimensionally analyze site characteristics based on objective facts. Support evidence creation for regional analysis and policy proposals.

### Workflow: From Point Information Output to AI Analysis

1. **[Setup]:** Select the 'Analysis Menu' (prompt) and the external 'Generative AI' to be linked in the setting screen. 2. **[Step 1]:** Right-click on the map to output 'Point Information' (counts, distances, etc.) and the prompt text at once. 3. **[Step 2]:** Click 'Launch AI in browser,' paste the information into the external generative AI, and execute the analysis.