22 results about "Request for quotation" patented technology

Embodiments provide for dynamic generation and updating of quote data objects using machine learning. An example apparatus is configured to receive a quote request and parse the quote request to extract one or more quote parameters. The example apparatus is further configured to determine, based at least in part the one or more quote parameters and by querying a plurality of repositories that are each updated periodically or in real-time, available inventory associated with the product identifier, and to determine a set of alternative quote values for the product identifier. The example apparatus is further configured to generate, using a first trained machine learning model and based at least in part on the available inventory and the set of alternative quote values, a first quote feature for the quote request and a confidence score, and to cause transmission of a quote data object to a user device.

For generating a bill of materials and a corresponding bill of processes for a product, a natural language processing module maps at least one document specifying a product into a latent representation, which is an embedding in latent space. A bill of materials generator receives the latent representation as input and generates a bill of materials for the product. A user interface detects user interactions with the generated bill of materials and creates a curated bill of materials depending on the user interactions. A bill of processes generator receives the latent representation and the curated bill of materials as input and constructs a bill of processes for the product. The method and system, or at least some of their embodiments, provide semi-automatic generation of the bill of materials and bill of processes for a product, using an AI engine. Compared to manually setting up a bill of materials and / or bill of processes within a software-system, the approach of using AI for generating this information can significantly speed up the process of calculating costs and sustainability values of a product. In this way the time from request for quotation until submitting the actual offer can be lowered significantly.

The method includes: receiving a communication that relates to a request for a price quote for at least one equity derivative product; extracting from the communication, attributes of the requested price quote for the at least one equity derivative product; generating based on the extracted attributes, a template request that has a predetermined format for each of the at least one equity derivative product; displaying, via a graphical user interface (GUI), each template request for review by a user, wherein the GUI includes an input mechanism for at least one of accepting and modifying each template request; transmitting each reviewed template request to a pricing system; receiving, from the pricing system, a quote for each of the at least one equity derivative product; and displaying, by the GUI, the price quote.

To provide a technology for improving the degree of freedom of an enterpriser to be introduced while reducing labor and time when requesting a predetermined business to the enterpriser.SOLUTION: In the estimation support system 1, after an estimation request related to a predetermined task is received from a customer (arrow A), estimation results from one or more companies capable of performing the task can be aggregated into a list and returned (arrow B). As a result, even if the customer does not grasp what kind of business operator exists and what kind of business content can be executed by the business operator, the customer can view the quotation result of each business operator, and thus it is possible to easily determine a business operator to be a request destination without increasing time and effort even if there are many business operators to be candidates.SELECTED DRAWING: Figure 7

A system is provided.SOLUTION: A system comprising: database means for accumulating and storing past estimate data; means for receiving an input condition of a printed matter; means for generating a rough estimate of each printing company based on the condition of the printed matter; means for generating a comparison table for comparing the generated rough estimates; means for providing the generated comparison table to a user terminal; means for selecting a final printing company; and means for requesting a formal estimate to the selected printing company.SELECTED DRAWING: Figure 1

Aspects of a dynamic offer system are described. In one example, a method involves receiving a data feed of offer data, generating a set of current offers in a database using a set of offer rules and the data feed, receiving merchant configuration data associated with a merchant portal, and dynamically selecting current merchant offers from the set of current offers in the database using the merchant configuration data. A request is received for the current merchant offers, where when the request for the current merchant offers is received from a customer device, the request includes dynamic customer data customized based on user selections, one or more offers of the current merchant offers based on the dynamic customer data are dynamically selected, and a transaction between the customer device and the merchant portal associated with the one or more offers dynamically selected by the computing device is facilitated.

A method and a system for dynamic request for quotation (RFQ) pricing using proportional-integral-derivative (PID) control with Bayesian optimization in order to determine an optimal linear state-feedback controller for tracking a metric are provided. The method includes: receiving bid price information and ask price information that relates to a financial instrument; selecting a metric to be used in conjunction with a determination of an RFQ price with respect to the financial instrument; estimating an output of a PID controller based on a predetermined function of the metric; adjusting the estimate by using a Bayesian optimization process; and using the PID controller, the adjusted estimate, the bid price information, and the ask price information to determine the RFQ price.

The system and method for guiding an Artificial Intelligence (AI) engine to automate the quality control process for generating quotes. The quote generation process involves receiving quote requests from a customer relationship management (CRM) system or a data structure entry point. Moreover, retrieving quote data associated with the quote request from data sources, including a CRM platform, via application programming interfaces (APIs) triggered by the submission of the quote request. Furthermore, the prompts are generated by a prompt generator to guide the AI engine in validating the retrieved quote data. The prompts are then transferred to the AI engine for validation, a process that involves analyzing the quote data against predefined rules and conditions, such as price structures, terms, and conditions. Subsequently, a quality control result is generated based on the validation, indicating whether the quote passes or fails the validation process.

In an exemplary embodiment, software made in accordance with the present invention generates a request for quote (RFQ) based on user-provided information, presents a user interface allowing a user to customize the RFQ, generates an e-mail including the RFQ, and sends the e-mail to one or more suppliers. Various corresponding and related systems, methods, and software are described.

The invention discloses a plant nursery stock list automatic batch quotation method and device, and the method comprises the steps: responding to a quotation request operation of a plant nursery stock list file, presenting a quotation corresponding to the nursery stock list file in a display interface, and after the quotation request operation of the plant nursery stock list file is responded, displaying the quotation corresponding to the plant nursery stock list file. Before the quotation corresponding to the nursery stock list file is presented, the method comprises the following steps: extracting preset dimension information in the nursery stock list file, and determining the quotation based on specified information of the preset dimension information. In this way, the one-key quotation effect is achieved, and quotation is more efficient.

The invention discloses a quotation processing method and device, electronic equipment, a storage medium and a program product. According to the embodiment of the invention, quotation request information which is sent by a target object and aims at transferable resources under a first resource type can be received; determining basic exchange rate information between the first resource type and the second resource type; obtaining resource quantity information corresponding to the transferable resource under the second resource type according to the basic exchange rate information; obtaining a quotation adjustment model; quotation adjustment processing is carried out on the resource quantity information through quotation adjustment service provided by a service module in a quotation adjustment model, and target resource quantity information corresponding to the transferable resources under the second resource type is obtained; and returning the target resource quantity information to the target object, and in the embodiment of the invention, repeated calculation and unnecessary data transmission can be avoided, and the system complexity and the potential error risk are reduced. According to the scheme, the quotation adjustment efficiency and timeliness can be improved.

A method for execution by one or more platform computing devices of a binding policy platform (BPP) network includes receiving a quote request regarding a policy from an agent computing device, wherein the quote request includes application data associated with the policy and a client. The method further includes determining a plurality of entity pairs of the BPP network, wherein each entity pair includes the agent computing device and a corresponding other computing device of a group of computing devices. The method further includes generating a plurality of application data sets based on a modification of at least one data point of the application data, and an insurer-specific requirement of a plurality of insurer-specific requirements. The method further includes sending the plurality of application data sets to the group of computing devices to solicit a plurality of quote replies for the quote request.

To provide a transaction management system which is convenient for both sellers and customers.SOLUTION: A transaction management system 10 includes a database server 13, a first management server 11, and a second management server 12. A database 20 stored in the database server 13 stores transaction information data including profit data, and commodity data. The second management server 12 includes: a use permission unit 121 which permits an external terminal 17 to use the database 20; and a page display unit 122 which displays a transaction information page on the external terminal 17. The second management server 12 includes: a quotation request storage unit 123 which prepares quotation request data 28 and stores the data in the database 20; and a quotation output unit 124 which prepares a quotation for a commodity at a price including a profit for a customer based on quotation data 29 which is prepared by the first management server 11 based on the quotation request data 28, and the profit data, and outputs the quotation.SELECTED DRAWING: Figure 1

To generate a bill of materials (BOM) and a corresponding routing list for a product, a natural language processing module (NLP-M) maps at least one product-specifying document into a latent representation (LR), which is embedded in the latent space. A BOM generator (BOM-G) receives the latent representation (LR) as input and generates a BOM (BOM-TR) for the product. A user interface (UI) captures user interactions with the generated BOM (BOM-TR) and creates a curated BOM (BOM-C) based on these interactions. A routing list generator (BOP-G) receives the latent representation (LR) and the curated BOM (BOM-C) as input and constructs a routing list (BOP-DAG) for the product.The method and the system, or at least some of their embodiments, provide for the semi-automatic generation of the bill of materials (BOM) and the work plan for a product using an AI engine. Compared to manually creating a BOM and / or a work plan within a software system, using AI to generate this information can significantly accelerate the process of calculating a product's costs and sustainability values. This can substantially reduce the time from request for quotation to the submission of the actual quotation.

This business support device 100 comprises: a client selection unit 164 that acquires a region to be visited by a person in charge of business, and selects a client to be visited by the person in charge of business from among clients located in the region on the basis of a business status, which indicates a stage of a business process of the client, or quotation information indicating a request status of a quotation for a product for the client; and a client information output unit 167 that outputs the business status or the quotation information of the client together with identification information about the client selected by the client selection unit 164.

A method and a system for dynamic request for quotation (RFQ) pricing using reinforcement learning and symbolic regression in order to obtain a pseudo-optimal nonlinear state-feedback controller for tracking a metric with increased interpretability are provided. The method includes: receiving bid price information and ask price information that relates to a financial instrument; selecting a metric to be used in conjunction with a determination of an RFQ price with respect to the financial instrument; formulating a Markov Decision Process (MDP) that relates to the determination of the RFQ price; using the MDP to define an RFQ pricing controller with respect to the metric; applying a reinforcement learning algorithm in order to tune a behavior of the RFQ pricing controller with respect to the metric; and using the RFQ pricing controller, the first information, and the second information to determine the RFQ price.

Apparatuses, systems, and methods for generative Artificial Intelligence (AI) / Large Language Model (LMM) assisted test system specification based on an initial input of a request for quote (RFQ) or request for information (RFI). An RFQ / RFI document can be provided as input to the AI / LLM model. The AI / LLM model can also receive selection and detection criteria and user-provided input associated with the RFQ / RFI document as guidance for the generative AI / LLM process. The AI / LLM model generate a test system specification from the RFQ / RFI document, with the test system specification fulfilling one or more criteria identified from the RFQ / RFI document.

Apparatuses, systems, and methods for generative Artificial Intelligence (AI) / Large Language Model (LMM) assisted test system specification based on an initial input of a request for quote (RFQ) or request for information (RFI). An RFQ / RFI document can be provided as input to the AI / LLM model. The AI / LLM model can also receive selection and detection criteria and user-provided input associated with the RFQ / RFI document as guidance for the generative AI / LLM process. The AI / LLM model generate a test system specification from the RFQ / RFI document, with the test system specification fulfilling one or more criteria identified from the RFQ / RFI document.

To provide an estimation management device, an estimation management method and an estimation management program for automatically making an estimation answer to estimation request data received from a customer, and for notifying a person in charge of its own company of an alert when stock is insufficient, or it is necessary to arrange a maker.SOLUTION: When the status of the product is "not available for allocation" or "available for allocation", estimate reply data in which a blank estimate amount and a remark indicating that a manufacturer is being inquired are set is transmitted to the person in charge of the customer, and an estimate reply notification in which an alert indicating that the status of the product is "not available for allocation" or "available for allocation" is set is transmitted to the person in charge of the company.SELECTED DRAWING: Figure 2

The invention provides an auction type interactive tourism platform system and a method for signing a platform contract. The method comprises the following steps: receiving planner information from each of a plurality of planning terminals and performing planner member registration on a server; the user terminal generates tourism product demand information and sends the tourism product demand information to the server; the travel product demand information comprises information corresponding to a quotation request period, a travel cost range, a travel schedule and the number of travelers, and each of the plurality of planning terminals generates a plurality of customized quotations corresponding to the travel product demand information; generating information and transmitting the information to a server; each piece of customized quotation information comprises information corresponding to the confirmed travel fee, travel itinerary and the number of travelers, and the server selects one or more pieces of customized quotation information to generate a recommended quotation list and sends the recommended quotation list to the server; a user terminal; and the user terminal selects one of the recommended quotations and sends a selection result to the server.

Systems, apparatus, articles of manufacture, and methods to provide a quotation for metal using machine learning model(s) are disclosed. An example machine readable storage medium comprises instructions to cause programmable circuitry to access a request from a customer for a quotation, create a data structure identifying at least one item included in the request, use a machine learning model to identify at least one attribute of the at least one item based on the data structure, select a product identifier based on the at least one attribute, generate a request summary using the product identifier, and prepare the quotation to be provided to the customer.