system
A data-driven system for mobile food trucks optimizes store location selection by preprocessing demographic and visitor data, generating predictive models, and refining strategies with user feedback, addressing the challenge of intuition-based location decisions.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SOFTBANK GROUP CORP
- Filing Date
- 2024-12-13
- Publication Date
- 2026-06-25
AI Technical Summary
Small-scale food and beverage businesses, particularly those using mobile food trucks, face challenges in selecting optimal store locations due to reliance on intuition and lack of data-driven strategies, making it difficult to adapt to real-time population trends and visitor attributes.
A system that collects and preprocesses pedestrian flow data, visitor attribute data, and past sales performance to generate an analytical model for optimal store location selection, incorporating feedback to improve the model's accuracy over time.
Enables data-driven, efficient, and continuously improving store location selection by leveraging machine learning algorithms and user feedback, enhancing business success through strategic location choices.
Smart Images

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