Abstract: Data processing techniques are described to obtain user data previously collected when a user is requested to complete application forms associated with multiple servers. The application forms may include some fields that may be in common and that may request the same user data. For each application form requested by the user, the data processing techniques can identify and obtain the relevant previously collected data about the user for the application form. The application form for a product can have certain fields that may be pre-filled based on the relevant and/or non-confidential previously collected user data. The data processing techniques can also provide an estimate of the time that may be needed by the user to complete at least one application form so that the user can obtain a requested product.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server for enabling automatic shopping. The server may associate a shopping cart with a customer's electronic user device. The server may monitor the locations of the electronic user device. Based on the customer's location, the server may identify the shelves and items the customer has visited. When an item is lifted from the shelf, at least one weight sensor on the shelf may detect the weight change. The server may receive a notification comprising an amount of weight change from the weight sensor on the shelf. When the customer places the item into his/her shopping cart, the weight sensor on the shopping cart may detect the weight addition. If the weight change and weight addition match, the analytic server may determine that the item picked up from the shelf is placed within the customer's shopping cart.

Abstract: Data processing techniques are described to obtain user data previously collected when a user is requested to complete application forms associated with multiple servers. The application forms may include some fields that may be in common and that may request the same user data. For each application form requested by the user, the data processing techniques can identify and obtain the relevant previously collected data about the user for the application form. The application form for a product can have certain fields that may be pre-filled based on the relevant and/or non-confidential previously collected user data. The data processing techniques can also provide an estimate of the time that may be needed by the user to complete at least one application form so that the user can obtain a requested product.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server for enabling automatic shopping. The server may associate a shopping cart with a customer's electronic user device. The server may monitor the locations of the electronic user device. Based on the customer's location, the server may identify the shelves and items the customer has visited. When an item is lifted from the shelf, at least one weight sensor on the shelf may detect the weight change. The server may receive a notification comprising an amount of weight change from the weight sensor on the shelf. When the customer places the item into his/her shopping cart, the weight sensor on the shopping cart may detect the weight addition. If the weight change and weight addition match, the analytic server may determine that the item picked up from the shelf is placed within the customer's shopping cart.

Abstract: Described herein are methods and systems for anonymizing and securing digital transactions. These methods and systems describe a server that monitors web applications executing on a user device. Responsive to the web application displaying an input element requesting personally identifiable information of a user, the server inputs encoded user data corresponding to the input element, whereby a web application server hosting the web application does not receive the personally identifiable information of the user. The server then generate an optical code representing the personally identifiable information. Responsive to receiving a request for the personally identifiable information from a shipping entity computing device that scanned the optical code, the server first verifies the shipping entity computing device and then presents the personally identifiable information for display on the shipping entity computing device.