Successful new openings and personnel recruitment through data utilization in the dining-out service.
Utilizing traffic data to achieve effective menu strategies and part-time recruitment!
A company that newly entered the dining-out service optimized the location conditions of potential store sites through data analysis. Based on foot traffic data for weekdays and weekends, they enhanced dinner and lunch menus to meet customer needs. Additionally, they utilized foot traffic data to determine effective areas for recruiting part-time workers, reflecting this in shift scheduling. They successfully implemented a flexible shift operation targeting students on weekdays and housewives on weekends. ■ Analyzed foot traffic by time slots on weekdays and weekends to optimize menu strategy ■ Enabled marketing tailored to the target customer segments of potential store locations ■ Accurately set recruitment areas and targets for part-time workers using data ■ Facilitated effective shift scheduling for students and housewives ■ Improved the effectiveness of job advertisements using data
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Our mission is to utilize AI to analyze location-based big data, combining and visualizing a wide variety of location and spatial information so that anyone can make use of it. By visualizing the "flow of people in the real world," we aim to contribute to solving issues such as resource waste, inefficiency, and environmental destruction in society, industry, and daily life. Please feel free to contact us if you have any requests.
