Announced details
E-commerce, agentic commerce, AI search, product information management, commerce protocol connectivity, e-commerce carts and payments
Target of supporting ¥3 trillion in transaction value for the DG Group in 2030
DGビジネステクノロジー is a subsidiary of Digital Garage. The two companies jointly provide this solution.
Patent application pending; trademark registration application pending (number and expiry date: Not disclosed)
Digital Gate Building, 3-5-7 Ebisu-Minami, Shibuya-ku, Tokyo (Digital Garage, DGBT)
The companies state that they aim to contribute to revenue maximization. The specific impact on results is Not disclosed
The company does not address Contract Value / Offering price.
Deloitte, “Agentic commerce ─Redefining the economics of retail” (2026)
Ministry of Economy, Trade and Industry, “E-Commerce Market Survey”
Ministry of Internal Affairs and Communications, “Data Compendium of the 2024 White Paper on Information and Communications in Japan”
| Item | Details |
|---|---|
| Names of Products / Services Covered | DG Agentic One™, DG Agentic One DataFeed, DG Agentic One GEO, DG Agentic One MCP, DG Agentic One Commerce, DG Agentic One Payment, DG AI Drive, DG Stablecoin Payment Service™（DG SPS™） |
| Relationship with the Company | DGビジネステクノロジー is a subsidiary of Digital Garage. The two companies jointly provide this solution. |
| Launch date | 13 August 2026 (launched; DG Agentic One Payment is under development) |
| Applicable area | E-commerce, agentic commerce, AI search, product information management, commerce protocol connectivity, e-commerce carts and payments |
| Registration number and expiry date | Patent application pending; trademark registration application pending (number and expiry date: Not disclosed) |
| Location | Digital Gate Building, 3-5-7 Ebisu-Minami, Shibuya-ku, Tokyo (Digital Garage, DGBT) |
| Quantitative Effects | Target of supporting ¥3 trillion in transaction value for the DG Group in 2030 |
| Impact on Business Performance | The companies state that they aim to contribute to revenue maximization. The specific impact on results is Not disclosed |
| Source | Deloitte, “Agentic commerce ─Redefining the economics of retail” (2026), Ministry of Economy, Trade and Industry, “E-Commerce Market Survey”, Ministry of Internal Affairs and Communications, “Data Compendium of the 2024 White Paper on Information and Communications in Japan” |
Items this document does not state (9)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.The spread of generative AI is driving a shift toward purchasing behavior in which AI agents handle the process from information discovery through recommendations, purchase and payment. As a result, e-commerce operators are required to support commerce protocols and structure their product data.