10 results about "Creating order" patented technology

An online concierge system receives a query from a user and leverages a set of models to generate an order based on the query. An ingredient identification model is a generative model that receives the query and generates a set of item categories corresponding to items that are combined to satisfy the query. An item identification model trained on catalogs of items offered by retailers receives the set of item categories as an input and generates a list of items available at a retailer corresponding to the set of item categories. The item identification model may generate multiple lists corresponding to different retailers and select a specific list of items based on list scores determined for each list. A candidate order form creation model generates characteristics of an order for obtaining the list of items that leverages prior orders fulfilled for the user.

The invention discloses a supply chain automatic performance method and system based on order state triggering, and relates to the technical field of supply chain management, a purchaser terminal communicates with an order management server to create an order, order detail data and associated contract data are input, and the order management server detects the validity of the order; and if the associated supplier terminal confirms that the order is accepted, the order state is modified into a to-be-delivered order state, the to-be-delivered order state information is interacted with the order management server, and the order management server pushes the to-be-delivered order state to the order associated party terminal. According to the invention, order state change is taken as a core trigger point, and automatic circulation of the whole process from order creation, supplier confirmation, delivery, transportation to sign-in is realized. Each link automatically verifies data and pushes information through the system, traditional modes of manual receipt transmission, telephone communication and the like are replaced, the performance period is remarkably shortened, the manual operation cost is reduced, and the system is particularly suitable for enterprises with weak informatization basis to quickly improve the management efficiency.

To provide an order placement / acceptance support device capable of facilitating order placement / acceptance activities by sufficient support in an entire order placement / acceptance process.SOLUTION: An order placement / acceptance support device 1 includes: a large-scale language model unit 113 having a large-scale language model specialized in creating order placement / acceptance support information by being trained and adjusted so as to stochastically predict how words or sentences provided in a prompt are likely to occur as natural language on the basis of order placement / acceptance related information of an order placement / acceptance database 121 and so as to generate order placement / acceptance support information; an information reception unit 111 for receiving response information of a user 4 in a conversation with the user 4; an initial setting prompt generation unit 114 that instructs a prerequisite for generating order placement / acceptance information in the large-scale language model; and an order placement / acceptance prompt generation unit 115 that causes the large-scale language model to generate order placement / acceptance support information suited to an order placement / acceptance stage on the basis of the prerequisite.SELECTED DRAWING: Figure 1

The invention relates to the technical field of aviation, in particular to an order data creation, query and modification method and device, and the method comprises the steps: receiving data information of an order created by a passenger for the first time; generating order data in an XML format containing the SPNRID by using the data information of the order created for the first time; the method comprises the following steps: splitting order data in an XML format into a plurality of XML node fragments taking SPNRID as a primary key according to business meanings; each XML node segment with the SPNRID as the primary key is stored in an XML DATA field of a CLOB type of a specified data table, and each data table takes the SPNRID as the primary key. The super passenger reservation record SPNR is created by using a standardized XML format, the SPNR is split and then stored in each database table, a data table does not need to be newly added in a database along with the increase of order types, a field does not need to be independently added for each piece of new order information, the design of the database is simplified, and the efficiency is improved. And the complexity and the coupling degree of the system are greatly reduced, so that the maintenance of the system is simpler and more convenient.

We provide the system. [Solution] An input method for receiving commercial transaction requests from users, An information generation means that proposes product information based on a request obtained by the input means, A presentation means for presenting the aforementioned product information to the user and accepting their selection, An analytical tool that creates an order list based on user selections and makes additional suggestions, An ordering method in which an online order is completed after final confirmation of the aforementioned order list, Information processing means that converts input information into text using speech recognition, A system that includes this.

To provide an order placement / acceptance support device capable of facilitating order placement / acceptance activities by sufficient support in an entire order placement / acceptance process.SOLUTION: An order placement / acceptance support device 1 includes: a large-scale language model unit 113 having a large-scale language model specialized in creating order placement / acceptance support information by being trained and adjusted so as to stochastically predict how words or sentences provided in a prompt are likely to occur as natural language on the basis of order placement / acceptance related information of an order placement / acceptance database 121 and so as to generate order placement / acceptance support information; an information reception unit 111 for receiving response information of a user 4 in a conversation with the user 4; an initial setting prompt generation unit 114 that instructs a prerequisite for generating order placement / acceptance information in the large-scale language model; and an order placement / acceptance prompt generation unit 115 that causes the large-scale language model to generate order placement / acceptance support information suited to an order placement / acceptance stage on the basis of the prerequisite.SELECTED DRAWING: Figure 1

To provide an order placement / acceptance support device capable of facilitating order placement / acceptance activities by sufficient support in an entire order placement / acceptance process.SOLUTION: An order placement / acceptance support device 1 includes: a large-scale language model unit 113 having a large-scale language model specialized in creating order placement / acceptance support information by being trained and adjusted so as to stochastically predict how words or sentences provided in a prompt are likely to occur as natural language on the basis of order placement / acceptance related information of an order placement / acceptance database 121 and so as to generate order placement / acceptance support information; an information reception unit 111 for receiving response information of a user 4 in a conversation with the user 4; an initial setting prompt generation unit 114 that instructs a prerequisite for generating order placement / acceptance information in the large-scale language model; and an order placement / acceptance prompt generation unit 115 that causes the large-scale language model to generate order placement / acceptance support information suited to an order placement / acceptance stage on the basis of the prerequisite.SELECTED DRAWING: Figure 1

One or more trained computer models are used to determine, at different stages of an order, an estimated time range for delivery of the order at an online system. The online system retrieves a set of candidate ranges of delivery times for the order. The online system applies the one or more computer models trained to predict a value of a metric for each candidate range in the set of candidate ranges, based on one or more features associated with the order. The online system selects a range of delivery times for the order from the set of candidate ranges, based on the predicted value of the metric for each candidate range. The online system causes a device of the user to display a user interface with the selected range of delivery times for the order.

To provide an order output method, program and system for reducing the thinking load or work load of order preparation for a doctor who prepares an electronic medical chart.SOLUTION: A method for order output using information input to an electronic medical chart, the method causing a computer to execute a related information acquisition step of acquiring, as related information, at least patient identification information for identifying a patient and medical care information including a description in a SOAP format in association with each other among information input to the electronic medical chart, and a proposal step of proposing one or more orders related to the patient as order candidates based on the medical care information constituting the related information and a past order output result.SELECTED DRAWING: Figure 5

This invention relates to the field of order management technology and discloses an order management method and system for a cross-border logistics platform. Upon receiving an instruction to copy an original order, the method first removes all tracking codes and identifiers generated by the platform's internal system from the original order, and then generates internal tracking codes and identifiers for the newly created order that are not internally associated with the original order. This severs the internal association between the old and new orders at the source, effectively avoiding the problem of incorrect inheritance of internal tracking codes due to order copying. Furthermore, this application introduces an identifier verification process. By detecting whether the identifiers carried in external status update information have cross-associations with the internal tracking codes of invalid or failed orders within the platform, and determining whether the master tracking code does not match the master tracking code of the currently active order, the method accurately identifies "ghost order" information contamination.