Integration of management, on-site operations, and customer experiences in smart stores enabled by multi-AI agents

Backyard and front operations are integrated with the core systems of the management department
Backyard operations are automated
Achieve personalized customer experiences based on real-time store status

For Various Industries Industry-Specific Use Cases

Use Case: Real-time integration of customer in-store behavior data (front) with inventory data (backyard), allowing AI to suggest optimal fitting rooms and product recommendations; Full automation of ordering and inventory control in the backyard based on AI-driven demand forecasting; Integrate sales performance, inventory, and employee shifts (management department) across all stores to support company-wide management strategy with AI

Effects: Increase in customer spend and maximization of LTV (Customer Lifetime Value); Significant reduction in personnel costs and minimization of lost opportunities; Standardization of operational efficiencies company-wide and realization of rapid management decision-making

Use Case: Integrate order data, cooking time, and food ingredient inventory (backyard) for AI to optimize cooking processes in real-time and shorten service times; AI assists employees with personalized service talks based on customer order history and allergy information; Monitor the operational status of kitchen equipment (management department) via IoT devices and automatically arrange predictive maintenance to prevent failures

Effects: Improved store turnover rate and reduced customer wait times; Enhanced service quality and reduced complaint rates; Avoidance of unexpected downtimes and optimization of equipment management costs

Use Case: Integrate facility sensor data (front) and reservation/ticket sales data (management department) for AI to analyze and forecast real-time congestion; Automatically optimize necessary equipment and staff allocation (backyard operations) based on employee shifts and qualification information (management department); Automatically deliver personalized attraction information and coupons within the park based on customer behavior history and devices used

Effects: Level out wait times and improve customer satisfaction; Appropriate distribution of work load and resolution of labor shortages; Increase revisit rates and create new revenue streams