Nowcast's 'DataLens Store Development' Adopted by RIZAP to Accelerate Expansion of Convenience Gym 'chocoZAP' and Others
Nowcast has started providing its store development DX tool, 'DataLens Store Development,' to RIZAP. RIZAP, which currently operates about 1,800 chocoZAP stores, aims to expand to 8,000. This tool will centralize property information management and utilize high-precision, data-driven sales forecasts for decision-making.
📋 Article Processing Timeline
- 📰 Published: April 10, 2026 at 20:00
- 🔍 Collected: April 11, 2026 at 00:26 (4h 26m after Published)
- 🤖 AI Analyzed: April 20, 2026 at 03:06 (218h 40m after Collected)
Nowcast, Inc. (Headquarters: Chiyoda-ku, Tokyo, Representative Director and CEO: Hitoshi Tsujinaka, hereinafter 'Nowcast'), a Finatext Group company that realizes embedded finance through the provision of next-generation financial infrastructure, has started providing its store development DX tool, 'DataLens Store Development,' to RIZAP, Inc. (Headquarters: Shinjuku-ku, Tokyo, Representative Director and President: Takeshi Seto, hereinafter 'RIZAP'). RIZAP currently operates approximately 1,800 stores, primarily its convenience gym 'chocoZAP,' and aims to establish an 8,000-store network in the future. With this implementation, RIZAP will centralize the management of property information and leverage highly accurate, data-driven sales forecasts for its decision-making.
## ■ Background
RIZAP is continuing its rapid store expansion to make fitness an everyday infrastructure, accelerating new store openings toward its goal of 8,000 domestic stores as part of its future growth strategy. However, in conventional store development operations, information management was primarily done via Excel or paper media (Maisoku), leading to issues of fragmented and personalized information. Furthermore, it was an urgent task to build a system capable of promptly presenting the potential of candidate locations and the basis for sales forecasts based on objective data.
## ■ Key Uses of 'DataLens Store Development'
To solve these challenges, RIZAP introduced Nowcast's 'DataLens Store Development.' The main points of utilization are as follows:
1. Digitalization and Efficiency of Property Information Management
Property information (Maisoku and Excel) held by individual staff members is automatically imported into 'DataLens Store Development' and centrally managed on a map. By visualizing the status of existing stores, competitor stores, and candidate properties, it enables the formulation of efficient area strategies while avoiding cannibalization (internal competition).
2. High-Precision Sales Forecasting Using Human Flow and Public Statistical Data
In addition to public statistics such as the national census, the system utilizes Nowcast's strength in human flow data to realize precise trade area analysis. This calculates a sales forecast score for candidate locations, increasing the probability of a successful store opening.
## ■ Future Outlook
Moving forward, Nowcast will continue to support RIZAP's data-driven store development through the provision of 'DataLens Store Development' and highly accurate sales forecasts down to the mesh level, thereby contributing to productivity improvements across the entire industry through data utilization.
About 'DataLens Store Development (using patented technology)'
This is a store development DX tool that combines trade area analysis functions based on third-party data, such as human flow data and payment data, with our generative AI technology. It radically streamlines store opening decisions that previously had to rely on complex information management, intuition, and experience, answering the needs of store development personnel who want to 'efficiently find the optimal property for their company from a massive amount of store property information.'
- Service introduction page: https://lp.datalenshub.com/property
## ■ Background
RIZAP is continuing its rapid store expansion to make fitness an everyday infrastructure, accelerating new store openings toward its goal of 8,000 domestic stores as part of its future growth strategy. However, in conventional store development operations, information management was primarily done via Excel or paper media (Maisoku), leading to issues of fragmented and personalized information. Furthermore, it was an urgent task to build a system capable of promptly presenting the potential of candidate locations and the basis for sales forecasts based on objective data.
## ■ Key Uses of 'DataLens Store Development'
To solve these challenges, RIZAP introduced Nowcast's 'DataLens Store Development.' The main points of utilization are as follows:
1. Digitalization and Efficiency of Property Information Management
Property information (Maisoku and Excel) held by individual staff members is automatically imported into 'DataLens Store Development' and centrally managed on a map. By visualizing the status of existing stores, competitor stores, and candidate properties, it enables the formulation of efficient area strategies while avoiding cannibalization (internal competition).
2. High-Precision Sales Forecasting Using Human Flow and Public Statistical Data
In addition to public statistics such as the national census, the system utilizes Nowcast's strength in human flow data to realize precise trade area analysis. This calculates a sales forecast score for candidate locations, increasing the probability of a successful store opening.
## ■ Future Outlook
Moving forward, Nowcast will continue to support RIZAP's data-driven store development through the provision of 'DataLens Store Development' and highly accurate sales forecasts down to the mesh level, thereby contributing to productivity improvements across the entire industry through data utilization.
About 'DataLens Store Development (using patented technology)'
This is a store development DX tool that combines trade area analysis functions based on third-party data, such as human flow data and payment data, with our generative AI technology. It radically streamlines store opening decisions that previously had to rely on complex information management, intuition, and experience, answering the needs of store development personnel who want to 'efficiently find the optimal property for their company from a massive amount of store property information.'
- Service introduction page: https://lp.datalenshub.com/property