Crowdsourced Insights About Merchant Shipping Methods

An apparatus comprising:

• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the apparatus to:
• initialize a model having a plurality of credit card transaction parameters;
• train the model, based on a training set comprising a plurality of past credit card transactions, to refine the plurality of credit card transaction parameters through a plurality of iterations;
• monitor use, via a browser extension, of a browser application;
• determine, based on the monitoring, a user is accessing a website via the browser application;
• determine, based on parsing content of the website via the browser extension, the user is shopping for a product;
• classify, using the model, the product as a physical product involving shipping to the user, wherein attributes of the product and the online merchant are inputs to the model;
• predict, using the model and based on the classifying, shipping data associated with at least one of:
• the physical product or the online merchant;
• and
• cause display of the shipping data.

One or more non-transitory media storing instructions that, when executed by one or more processors, cause the one or more processors to perform steps comprising:

• initializing a model having a plurality of credit card transaction parameters;
• training the model, based on a training set comprising a plurality of past credit card transactions, to refine the plurality of credit card transaction parameters through a plurality of iterations;
• monitoring use, via a browser extension, of a browser application;
• determining, based on the monitoring, a user is accessing a website via the browser application;
• determining, based on parsing content of the website via the browser extension, the user is shopping for a product;
• classifying, using the model, the product as a physical product involving shipping to the user, wherein attributes of the product and the online merchant are inputs to the model;
• predicting, using the model and based on the classifying, shipping information associated with at least one of:
• the physical product or the online merchant;
• causing display, via the browser extension, of the shipping information and user reviews associated with the product and the merchant;
• requesting user feedback associated with the product and the merchant;
• and
• training the model based on the training set and the user feedback.