Abstract: Embodiments relate to utilizing an optical character recognition extraction and a large language model (LLM) to automatically populate a shopping cart of a user of an online system with items from a physical recipe. The online system receives an image capturing the physical recipe and extracts a raw text from the received image. The online system generates a prompt for input into the LLM, the prompt including a task request for the LLM to generate a list of ingredients using the raw text. The online system inputs the prompt into the LLM to generate the list of ingredients. The online system maps the list of ingredients to a list of items available by one or more retailers associated with the online system. The online system causes a device of the user to display a user interface with the list of items.

Abstract: Embodiments relate to utilizing an optical character recognition extraction and a large language model (LLM) to automatically populate a shopping cart of a user of an online system with items from a physical recipe. The online system receives an image capturing the physical recipe and extracts a raw text from the received image. The online system generates a prompt for input into the LLM, the prompt including a task request for the LLM to generate a list of ingredients using the raw text. The online system inputs the prompt into the LLM to generate the list of ingredients. The online system maps the list of ingredients to a list of items available by one or more retailers associated with the online system. The online system causes a device of the user to display a user interface with the list of items.

Abstract: Embodiments relate to utilizing an optical character recognition extraction and a large language model (LLM) to automatically populate a shopping cart of a user of an online system with items from a physical recipe. The online system receives an image capturing the physical recipe and extracts a raw text from the received image. The online system generates a prompt for input into the LLM, the prompt including a task request for the LLM to generate a list of ingredients using the raw text. The online system inputs the prompt into the LLM to generate the list of ingredients. The online system maps the list of ingredients to a list of items available by one or more retailers associated with the online system. The online system causes a device of the user to display a user interface with the list of items.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprising an analytic server for automated digital account/application enrollment. The analytic server may open a new account for a user during a registration process. The analytic server may facilitate automated digital enrollment to allow the user to manage the new account in a mobile application on the user's mobile device. The analytic server may send a text message comprising a direct link to the user's mobile device. The link may direct the user to the app store, where the user can download and install the mobile application automatically. The analytic server may also display a button that allows the user to activate a QR code and scan the QR code using the camera of the user's mobile device. Upon the mobile device scanning the QR code, the analytic server may automatically launch the mobile application and sign the user in.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprising an analytic server for automated digital account/application enrollment. The analytic server may open a new account for a user during a registration process. The analytic server may facilitate automated digital enrollment to allow the user to manage the new account in a mobile application on the user's mobile device. The analytic server may send a text message comprising a direct link to the user's mobile device. The link may direct the user to the app store, where the user can download and install the mobile application automatically. The analytic server may also display a button that allows the user to activate a QR code and scan the QR code using the camera of the user's mobile device. Upon the mobile device scanning the QR code, the analytic server may automatically launch the mobile application and sign the user in.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprising an analytic server for automated digital account/application enrollment. The analytic server may open a new account for a user during a registration process. The analytic server may facilitate automated digital enrollment to allow the user to manage the new account in a mobile application on the user's mobile device. The analytic server may send a text message comprising a direct link to the user's mobile device. The link may direct the user to the app store, where the user can download and install the mobile application automatically. The analytic server may also display a button that allows the user to activate a QR code and scan the QR code using the camera of the user's mobile device. Upon the mobile device scanning the QR code, the analytic server may automatically launch the mobile application and sign the user in.