Business hours adjustment based on pedestrian count data toward dynamic business hour setting

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  • Demonstration at a restaurant in Takayama

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Tourism is an important industry for Japan. Struggling with labor shortages due to the declining birthrate and aging population, efficient data-based management of tourist destinations is aimed at. However, the utilization of data has not progressed well in stores in tourist areas. In this study, pedestrian count data collected in a town was shared, analyzed, and utilized by a restaurant to reconsider its business hours toward dynamic business hour setting. This study determined the time of a day when the restaurant could expect more customers and extended the last-orders time based on pedestrian count data collected by an AI camera and aggregated for every hour. The result was evaluated by the sales data of the cash register of the restaurant. The strategy was well received by the collaborating restaurant and other local tourism-related businesses in the area, indicating that the business hours can be adjusted by pedestrian count data. On the other hand, it remained an issue that there were days when sales did not increase despite the extension, the shortening of business hours, and commutation of changed business hours to tourists.

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