4results about How to "Improve order efficiency" patented technology

The application discloses a restaurant dish recommendation system based on artificial intelligence and relates to the technical field of service management.The system discloses an order record module, a dish recommendation module and a recommendation evaluation module.Through the setting of the order record module and the dish recommendation module, the dishes ordered by customers each time are counted, and the ordered dishes are comprehensively analyzed, and the dishes with potential demands of the customers are further analyzed, and the dishes are intelligently sorted and recommended to the customers, the dish recommendation accuracy is ensured, the ordering efficiency of the customers is improved, the recommendation evaluation module is set, the ordering process of the customers can be continuously supervised, the acceptance of the customers to the dish recommendation is dynamically analyzed, the dish recommendation is timely interrupted, and the ordering experience of the customers is ensured.

The invention relates to a configuration method and device for order receiving setting items of online car-hailing drivers, computer equipment and a storage medium. The method comprises the following steps: acquiring multi-dimensional state data of an online car-hailing driver; determining one or more to-be-optimized setting items based on the multi-dimensional state data; generating optimization suggestion information of the order receiving setting item based on the one or more to-be-optimized setting items and the real-time position information of the online car-hailing driver, and sending the optimization suggestion information to terminal equipment of the online car-hailing driver; and in response to an optimization confirmation instruction sent by the terminal equipment of the online car-hailing driver, generating a batch operation instruction for starting or adjusting one or more to-be-optimized setting items, and sending the batch operation instruction to the terminal equipment of the online car-hailing driver, so that the terminal equipment configures the state of each to-be-optimized setting item based on the batch operation instruction. By adopting the method, the order receiving efficiency of the online car-hailing driver can be improved, and the overall operation efficiency and service quality of the online car-hailing platform can be improved.

The application discloses a commodity package generation method and device, a storage medium and a computer device, and relates to the technical field of Internet. The method comprises the following steps: a client sends a commodity package generation request to a server in response to the commodity package generation request; the server acquires user information and merchant information corresponding to the commodity package generation request in response to receiving the commodity package generation request, selects at least one commodity from a commodity list corresponding to the merchant information based on the user information and a preset commodity package combination strategy through a large model, and generates at least one commodity package based on the selected commodities; the server sends package information of the commodity package to the client; and the client receives and displays the commodity package. The above method can customize the commodity package for the user, so that the generated commodity package is more in line with the actual needs and preferences of the user, thereby improving the generation efficiency of the commodity package, the ordering efficiency of the user and the experience of the user.

The application provides a conversational express ordering method, device, equipment, medium and product. It relates to the fields of artificial intelligence and logistics technology. The method comprises the following steps: determining a user target intention based on user input information of the current round of conversation, wherein the user input information comprises picture content and / or natural language text content; extracting corresponding field content from the user input information of the current round of conversation according to a preset field extraction rule and storing the field content into order state data in combination with a conversation context; performing integrity verification on the current order state data to generate a field to be filled in prompt message; in response to the order state data passing the integrity verification, generating an order information completeness prompt message, and storing the receiver information and the sender information into a user historical information library. Through the maintenance of the order state data, the application realizes progressive information collection, completes the multi-round conversation ordering process, and improves the overall ordering efficiency and user experience.