An online system retrieves a set of user data for a user and applies a machine-learning model to predict a measure of preference of the user associated with an item category based on the set of user data. For an item included in the item category, the online system generates a prompt requesting generation of an image of the item that is consistent with the predicted measure of preference of the user associated with the item category. The online system provides the prompt to a generative artificial intelligence model to obtain an output and extracts, from the output, the image of the item that is consistent with the predicted measure of preference of the user associated with the item category. The online system then updates a database of items by storing the extracted image of the item in a database record associated with the item.

At least one processor may receive user data indicating a scope of work and predicting at least one resource required to complete the scope of work. The predicting may include processing the user data with a machine learning (ML) process. The at least one processor may determine at least one provisioning property of the at least one resource and apply the at least one provisioning property to a standard product offering, thereby creating a customized product offering commensurate with the scope of work. The at least one processor may perform processing responsive to a user request using the customized product offering.

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.

A method and a respective system for performing a chemical synthesis via a computer by Defining an organic target molecule of the chemical synthesis to be produced in the chemical production plant; Providing information describing the organic target molecule to a software-based platform being hosted by a computer connected to a network, wherein the platform holds inventories of chemical suppliers and the inventories contain information about synthetic reagents needed for the chemical synthesis; Routing the chemical synthesis via the computer, wherein the computer checks the inventories of the platform for the synthetic reagents to perform the chemical synthesis by comparing the information describing the organic target molecule and the information in the inventories and connects those chemical suppliers to the chemical production plant which provide synthetic reagents according to the compared information; and Producing the desired organic target molecule in the chemical production plant.

The invention proposes a display method and customization system for a 3D model shopping interface. The method comprises the following steps: S100: display at least one candidate shopping target in response to shopping search keywords entered by the user; S200: enter a 3D model shopping display interface in response to the user's selection of the first candidate shopping target; S300: download a first data packet from the server if the first interactive operation of the user on a first local position is detected; S400: parse the first data packet and display the parsing result thereof if no second interactive operation of the user on the second local position is detected during the period from the start of downloading the first data packet to the completion of downloading. The customization system is configured with a 3D model shopping application. The invention can reduce lag and delay and adapt to user devices.

An online system retrieves a set of user data for a user and applies a machine-learning model to predict a measure of preference of the user associated with an item category based on the set of user data. For an item included in the item category, the online system generates a prompt requesting generation of an image of the item that is consistent with the predicted measure of preference of the user associated with the item category. The online system provides the prompt to a generative artificial intelligence model to obtain an output and extracts, from the output, the image of the item that is consistent with the predicted measure of preference of the user associated with the item category. The online system then updates a database of items by storing the extracted image of the item in a database record associated with the item.

A server device includes an acceptor, an extractor, a calculator, and an outputter. The acceptor causes a terminal to display a form that includes a plurality of input fields to which parameter values of a plurality of parameters to be registered in a database in association with a product are input, and accepts input of each of the parameter values. The extractor extracts, from the database, another product associated with a parameter value identical or similar to a specific value input to a specific input field. The plurality of parameters includes a selection parameter that requires input to at least one of a plurality of parameter items. The calculator calculates a usage frequency at which each of the plurality of parameter items of the extracted other product is used. The outputter outputs the calculated usage frequency of each of the plurality of parameter items.

To propose a cosmetic product that is suitable for an individual skin problem of a user. An information processing apparatus includes an estimation unit and a providing unit. The estimation unit estimates a degree of resolution of a skin problem of a user for each cosmetic product. The providing unit provides information indicating a degree of resolution of a target cosmetic product based on the degree of resolution that is estimated by the estimation unit for each cosmetic product.

A display method and a customization system for a 3D model shopping interface are provided. The method includes following steps: S100: display at least one candidate shopping target in response to shopping search keywords entered by the user; S200: enter a 3D model shopping display interface in response to the user's selection of the first candidate shopping target; S300: download a first data packet from the server if the first interactive operation of the user on a first local position is detected; S400: parse the first data packet and display the parsing result thereof if no second interactive operation of the user on the second local position is detected during the period from the start of downloading the first data packet to the completion of downloading. The customization system is configured with a 3D model shopping application which can reduce lag and delay and adapt to user devices.