5 results about "Price quote" patented technology

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.

Disclosed herein are various embodiments of systems and methods for evaluating devices and presenting price quotes to users. In some embodiments, a kiosk can receive information from and / or about the device and provide an initial offer. If the user rejects the initial offer, the kiosk can inform the user of a potential higher offer based on further evaluation / testing of the device. If the user decides to proceed with further evaluation / testing, the kiosk can provide instructions to run a software application on the device to perform one or more tests on the device and / or enable the user to perform further tests.

In an aspect, an apparatus for an interactive compliant manufacturing process, wherein the apparatus includes a processor and a memory communicatively connected to the processor. The processor is configured to receive a representative part model from a user and determine a correct interpretation of the model. This includes using a function datum received from a user to minimize correlation ambiguity of the representative part model and verifying the indented interpretation of the representative part model as a function of a specification datum. The processor is further configured to analyze a price quote of the representative part model.

Techniques for suggesting a candidate layout based on historical characteristics are disclosed. A system trains a machine learning model to suggest layouts for three-dimensional spaces. The system obtains sets of historical characteristic data, including spatial characteristics of a particular three-dimensional space and layout characteristics including information indicating items present in the particular three-dimensional space and positioning information indicating a position of each item within the particular three-dimensional space. The system trains the machine learning model based on the sets of historical characteristic data. The system receives a first request for a layout suggestion from a first user, including at least a first set of spatial characteristics for a first three-dimensional space. The system applies the machine learning model to the first set of spatial characteristics to identify a first candidate layout as a suggestion and, based on the applying operation: recommends the first candidate layout as a layout suggestion.

This invention discloses an AI-based method and system for collecting price information in the textile industry. The method includes the following steps: S1, Image Repair and Cleaning: Processing the tabular price quote images from textile factories, retaining only the table area; S2, Table Cropping: Cropping the repaired image according to the table format, dividing it into multiple smallest sub-table images without table sub-tables; S3, Sub-table OCR Recognition: Extracting the row, column, and header names of the sub-tables, as well as corresponding text and / or numeric data, and returning sub-table data containing complete structured information; S4, Header Row to Column Conversion: Extracting the header row information and converting it into column information to generate a uniformly formatted intermediate table; S5, Multi-Table Concatenation and Integration: Concatenating and integrating multiple intermediate tables into a single large table with a unified format. Compared with existing technologies, this invention eliminates the need for manual secondary processing, significantly reducing the cost of price information collection and significantly improving the efficiency, accuracy, and timeliness of data collection.