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Solution and System – NLP
- Standardization and Mapping of Product and Service Names, Classification
- Using ML algorithms to generate NLP models, it is possible to automatically classify and categorize various product names entered by users. This facilitates subsequent platform-wide statistics.
- Online Intelligent Customer Service
- Based on a corpus-generated intelligent response model, it provides automatic customer service online.
- Customer Review Sentiment Analysis
- Using NLP algorithms to perform sentiment analysis on online reviews.
- Customer Voice Self-Service
- Based on voice recognition and NLP models, it implements customer self-service through voice, such as voice ordering.
Solution and System – CV
- Product Image Recognition
- Automatically recommend standard dish names based on user-uploaded dish images. Useful for menu entry and also for automated checkout processes.
- Customer Service Request Gesture Recognition
- Based on surveillance video, if a dining customer raises their hand, it is interpreted as a call for a waiter, indicating service is needed, informing service personnel, replacing the need for buzzers.
- Facial Recognition – Customers and Employees
- Utilizing CV technology to recognize returning customers as they enter the store; also applicable for automated billing. CV technology supports staff clocking in and out, breaks, and attendance.
- Employee Dress Code Recognition
- Using CV technology to monitor employees’ adherence to dress codes, such as wearing masks or safety helmets.
- Night Shift Monitoring
- Employing video surveillance technology to facilitate night shift monitoring, tracking moving objects within the video.
- Safety Monitoring: Hazardous Items and Dangerous Behavior
- Detect hazardous items or pets based on video images. Recognize dangerous actions or emotional behaviors from video footage, including pointing, falling, intense complaining, smashing objects, punching, pulling, shoving, intense embracing, kicking, and hitting.
- Foot Traffic Recognition
- Automatically determine the number of people inside the store through video surveillance analysis, assessing the business’s saturation level.
- Foot Traffic In and Out Counting
- Monitor and count the number of people entering and exiting at the doorway.
- Inventory Entry and Exit Photography
- Identify and photograph the action of retrieving items in the storeroom.
- Key Event Image Documentation
- Automatically capture and archive photos of key actions such as checkout or refunds in the management system.
- Queue Detection
- Detect and assess the length of queues at business points where queuing is necessary.
Solution and System – DS
- Revenue Forecasting
- Combining mathematical modeling, Data Analysis, and ML algorithms to create predictive models, capable of forecasting sales and profits under various conditions.
- Replenishment Suggestions, Purchase Planning
- Based on revenue forecasts and merchandise purchasing models, providing replenishment suggestions and creating reliable purchasing plans.
- Human Resources Forecasting
- Based on revenue forecasts and human resource planning models, predicting future service human resource needs.
- Intelligent Scheduling
- Implementing intelligent scheduling based on human resource forecasting models, with the ability to dynamically adjust.
- Intelligent Menu
- Based on revenue forecasts and configurable menus, suggesting the optimal menu plan for operators.
- Capacity Forecasting, Service Time Prediction
- Predicting capacity based on revenue forecasts, supply chain models, etc., and providing customers with service time and wait time predictions.