Announced details
New retail store openings, store development, sales forecasting for candidate properties and investment decisions
Introduced at Welcia Yakkyoku from July 2025
TSURUHA HOLDINGS INC. is a customer adopting True Data’s service. SalesSensor was jointly developed and is provided by True Data and DATAFLUCT Inc.
Head office: Sapporo, Hokkaido; Representative Director and President: Tsuruha Jun (鶴羽 順). Operates drugstore chains in Japan and overseas.
The impact on results for the fiscal year ending March 2027 will be minor. The company considers the service a medium- to long-term growth driver.
The company does not address Contract Value / Offering price.
| Item | Details |
|---|---|
| Names of Products / Services Covered | SalesSensor (Sales Sensor) |
| Counterparty | TSURUHA HOLDINGS INC. (Securities code: 3391) |
| Counterparty overview | Head office: Sapporo, Hokkaido; Representative Director and President: Tsuruha Jun (鶴羽 順). Operates drugstore chains in Japan and overseas. |
| Relationship with the Company | TSURUHA HOLDINGS INC. is a customer adopting True Data’s service. SalesSensor was jointly developed and is provided by True Data and DATAFLUCT Inc. |
| Launch date | Scheduled for introduction by the fiscal year ending February 2027 |
| Applicable area | New retail store openings, store development, sales forecasting for candidate properties and investment decisions |
| Usage history | Introduced at Welcia Yakkyoku from July 2025 |
| Impact on Business Performance | The impact on results for the fiscal year ending March 2027 will be minor. The company considers the service a medium- to long-term growth driver. |
Items this document does not state (10)
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.As sales forecasting for new store openings becomes more difficult, reliance on the knowledge and experience of individual personnel and the associated workload have become challenges. AI-based analysis is expected to improve the accuracy of investment decisions, reduce business risk and ease the burden of analysis-related work.