SYSTEMS, APPARATUSES, AND METHODS FOR GENERATING INVENTORY RECOMMENDATIONS

1 . A method comprising:

retrieving a plurality of e-mail messages associated with a user;

parsing the plurality of e-mail messages to identify a set of merchandise items present within the plurality of e-mail messages;

associating the set of merchandise items with the user in an item database;

receiving a request for an item recommendation from the user;

identifying one or more recommended items associated with the user in the item database responsive to the request; and

transmitting the recommended items to the user for display.

2 . The method of claim 1 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

retrieving a list of candidate items and a list of user items, the list of user items retrieved from the item database;

filtering the list of candidate items to generate a list of filtered items, the list of filtered items excluding the list of user items;

identifying a list of supplemental items based on user preferences; and

combining the list of candidate items and list of supplemental items as the one or more recommended items.

3 . The method of claim 2 further comprising:

displaying the one or more recommended items at a user display;

detecting a user interaction with one of the recommended items; and

updating the user preferences based on the detected user interaction.

4 . The method of claim 1 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

retrieving a style guide, the style guide comprising a structured listing of products associated with a merchant;

detecting one or more seasonal keywords within the style guide;

querying the item database using the one or more seasonal keywords and retrieving a set of relevant items associated with the one or more seasonal keywords;

filtering the set of relevant items based on the items associated with the user stored in the item database; and

identifying the filtered set of relevant items as the one or more recommended items.

5 . The method of claim 4 wherein displaying the set of relevant items on a user device comprises displaying the set of relevant items on a virtual model.

6 . The method of claim 1 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

receiving a request for an outfit from the user;

retrieving a preference vector associated with the user, the preference vector including a plurality of categories;

generating a first matrix of items based on a selected category from the plurality of categories;

displaying the first matrix of items on a user device;

updating the preference vector in response to a user interaction with the first matrix of items;

generating a second matrix of items based on the updated preference vector and the first matrix of items; and

displaying the second matrix of items on a user device.

7 . The method of claim 1 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

receiving a partial outfit request from the user, the partial outfit request comprising a set of categories and at least one item associated with each category;

identifying one or more missing categories within the partial outfit request;

retrieving a set of candidate items for each of the one or more missing categories based on a user preference vector; and

displaying the set of candidate items for each of the one or more missing categories.

8 . The method of claim 1 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

receiving an item from the user;

identifying a known use for the item;

identifying at least one category associated with the known use;

retrieving a set of items associated with the at least one category; and

identifying the set of items as the one or more recommended items.

9 . The method of claim 8 wherein a known use comprises an activity associated with the category associated with the item.

10 . The method of claim 1 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

retrieving a weather forecast, the weather forecast including a type of weather;

accessing a user item collection within the item database, wherein the user item collection includes one or more items associated with a type of weather; and

displaying an item in the user item collection upon determining that the item is associated with the type of weather included in the weather forecast.

11 . An apparatus comprising:

one or more processors; and

a non-transitory memory storing computer-executable instructions therein that, when executed by the processor, cause the apparatus to perform the operations of:

retrieving a plurality of e-mail messages associated with a user;

parsing the plurality of e-mail messages to identify a set of merchandise items present within the plurality of e-mail messages;

associating the set of merchandise items with the user in an item database;

receiving a request for an item recommendation from the user;

identifying one or more recommended items associated with the user in the item database responsive to the request; and

transmitting the recommended items to the user for display.

12 . The apparatus of claim 11 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

retrieving a list of candidate items and a list of user items, the list of user items retrieved from the item database;

filtering the list of candidate items to generate a list of filtered items, the list of filtered items excluding the list of user items;

identifying a list of supplemental items based on user preferences; and

combining the list of candidate items and list of supplemental items as the one or more recommended items

13 . The apparatus of claim 12 wherein the instructions further cause the apparatus to perform the operations of:

displaying the one or more recommended items at a user display;

detecting a user interaction with one of the recommended items; and

updating the user preferences based on the detected user interaction.

14 . The apparatus of claim 11 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

retrieving a style guide, the style guide comprising a structured listing of products associated with a merchant;

detecting one or more seasonal keywords within the style guide;

querying the item database using the one or more seasonal keywords and retrieving a set of relevant items associated with the one or more seasonal keywords;

filtering the set of relevant items based on the items associated with the user stored in the item database; and

identifying the filtered set of relevant items as the one or more recommended items.

15 . The apparatus of claim 14 wherein displaying the set of relevant items on a user device comprises displaying the set of relevant items on a virtual model

16 . The apparatus of claim 11 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

receiving a request for an outfit from the user;

retrieving a preference vector associated with the user, the preference vector including a plurality of categories;

generating a first matrix of items based on a selected category from the plurality of categories;

displaying the first matrix of items on a user device;

updating the preference vector in response to a user interaction with the first matrix of items;

generating a second matrix of items based on the updated preference vector and the first matrix of items; and

displaying the second matrix of items on a user device.

17 . The apparatus of claim 11 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

receiving a partial outfit request from the user, the partial outfit request comprising a set of categories and at least one item associated with each category;

identifying one or more missing categories within the partial outfit request;

retrieving a set of candidate items for each of the one or more missing categories based on a user preference vector; and

displaying the set of candidate items for each of the one or more missing categories.

18 . The apparatus of claim 11 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

receiving an item from the user;

identifying a known use for the item;

identifying at least one category associated with the known use;

retrieving a set of items associated with the at least one category; and

identifying the set of items as the one or more recommended items.

19 . The apparatus of claim 18 wherein a known use comprises an activity associated with the category associated with the item.

20 . The apparatus of claim 11 wherein identifying one or more recommended items associated with the user in the item database responsive to the request comprises:

retrieving a weather forecast, the weather forecast including a type of weather;

accessing a user item collection within the item database, wherein the user item collection includes one or more items associated with a type of weather; and

displaying an item in the user item collection upon determining that the item is associated with the type of weather included in the weather forecast.