Achieving AI Sales Forecasting for '100,000 Yen/Month' - Campaign Launched to Commemorate the Release of Next-Generation AI Tool 'THE NOVEL'
Giken Shoji International launched a campaign offering their new AI tool 'THE NOVEL' with a sales prediction feature for 100,000 JPY per month.
📋 Article Processing Timeline
- 📰 Published: April 8, 2026 at 23:10
- 🔍 Collected: April 8, 2026 at 14:30
- 🤖 AI Analyzed: April 20, 2026 at 16:02 (289h 32m after Collected)
Giken Shoji International Co., Ltd. (Nagoya Headquarters: Nagoya City, Aichi Prefecture; Tokyo Headquarters: Shinjuku-ku, Tokyo; Representative Director: Tomomi Kojima, hereinafter 'the Company'), a leading domestic company in Area Marketing GIS (Geographic Information Systems), will implement an 'AI Introduction Support Campaign'. To commemorate the release of the new AI solution, Location Intelligence Platform 'THE NOVEL', scheduled to be launched in April 2026, the first feature, 'Sales Prediction AI', will be available for the equivalent of 100,000 yen per month for the first year for a limited time.
〇 Click here for the THE NOVEL service page
■ Campaign Overview: Achieving advanced AI-driven decision-making at a low cost
In this campaign, targeting companies that open an account by the end of September 2026, the platform usage fee that serves as the foundation for AI utilization, the data editing and basic function usage fee that automatically assigns advanced data editing and characteristic data within trade areas, and the 'Sales Prediction AI Function Usage Fee' capable of building both machine learning (AI) and statistical analysis prediction models at once, will be available for 100,000 yen per month for one year.
* It is applicable once per company.
* For other details, please contact us.
■ The first release, the forefront of store development changing with 'Sales Prediction AI'
Addressing challenges in chain store sales prediction such as 'We have data but aren't fully utilizing it' or 'Analysis relies on a few veterans,' this solution provides the following values.
'Conviction' that accelerates internal consensus
You can build and compare two prediction models at once: high-precision AI and traditional statistical analysis. It also visualizes the rationale for the models (why the numbers turn out that way, which model is superior, etc.). This prevents black-boxing and smooths internal explanations.
Not just 'build and done'. Operations continuously improved in-house
It eliminates risks due to reliance on consulting or individual dependency, such as 'The model cannot be built unless a specific person in charge handles it.' The history and transition of model building can be shared among the team, and continuous improvements in response to market changes can be easily made on the tool.
Breaking away from individual dependency. Anyone can perform veteran-level analysis
Through an intuitive UI and detailed insight presentation, highly advanced sales prediction models can be built without specialized knowledge. Analytical know-how can be accumulated and shared as an organizational asset.
[From today
〇 Click here for the THE NOVEL service page
■ Campaign Overview: Achieving advanced AI-driven decision-making at a low cost
In this campaign, targeting companies that open an account by the end of September 2026, the platform usage fee that serves as the foundation for AI utilization, the data editing and basic function usage fee that automatically assigns advanced data editing and characteristic data within trade areas, and the 'Sales Prediction AI Function Usage Fee' capable of building both machine learning (AI) and statistical analysis prediction models at once, will be available for 100,000 yen per month for one year.
* It is applicable once per company.
* For other details, please contact us.
■ The first release, the forefront of store development changing with 'Sales Prediction AI'
Addressing challenges in chain store sales prediction such as 'We have data but aren't fully utilizing it' or 'Analysis relies on a few veterans,' this solution provides the following values.
'Conviction' that accelerates internal consensus
You can build and compare two prediction models at once: high-precision AI and traditional statistical analysis. It also visualizes the rationale for the models (why the numbers turn out that way, which model is superior, etc.). This prevents black-boxing and smooths internal explanations.
Not just 'build and done'. Operations continuously improved in-house
It eliminates risks due to reliance on consulting or individual dependency, such as 'The model cannot be built unless a specific person in charge handles it.' The history and transition of model building can be shared among the team, and continuous improvements in response to market changes can be easily made on the tool.
Breaking away from individual dependency. Anyone can perform veteran-level analysis
Through an intuitive UI and detailed insight presentation, highly advanced sales prediction models can be built without specialized knowledge. Analytical know-how can be accumulated and shared as an organizational asset.
[From today