System and method for ingesting and presenting a video with associated linked products and metadata as a unified actionable shopping experience

1. A computer-implemented method for ingesting and presenting a video with associated linked products and metadata as a unified actionable shopping experience, the method comprising:

receiving information about an object depicted in a frame of a video file;

dynamically generating, by an artificial intelligence frame analysis model, guidance for a creator of the video file based on a correlation between the frame of the video file and the information about the object; and

delivering the guidance to the creator of the video file via one or more of emails, push notifications, and in-app messaging.

2. The computer-implemented method of claim 1 , further comprising:

determining the correlation between the frame of the video and the information about the object by determining a correlation between the object within the video frame and the information about the object, and extracting and storing coordinates of the object within the video frame.

3. The computer-implemented method of claim 2 , further comprising:

mapping the coordinates of the object within the video frame to an external address, the external address being a link to a merchant portal or web page through which the object may be purchased.

4. The computer-implemented method of claim 3 , wherein a user interaction with the object within the video frame provides the user with further information about the object.

5. The computer-implemented method of claim 3 , further comprising:

combining the video file and information about the object into a social media post; and

delivering the social media post to consumers.

6. The computer-implemented method of claim 2 , further comprising:

incorporating a decoration of the object in the video frame.

7. The computer-implemented method of claim 6 , wherein the decoration is one of a bounding box, glitter effects, or highlighting effects.

8. A system for ingesting and presenting a video with associated linked products and metadata as a unified actionable shopping experience, the system comprising:

a data storage device storing instructions in an electronic storage medium; and

a processor configured to execute the instructions to perform operations including:

receiving information about an object depicted in a frame of a video file;

dynamically generating, by an artificial intelligence frame analysis model, guidance for a creator of the video file based on a correlation between the frame of the video file and the information about the object; and

delivering the guidance to the creator of the video file via one or more of emails, push notifications, and in-app messaging.

9. The system of claim 8 , wherein the operations further include:

determining the correlation between the frame of the video and the information about the object by determining a correlation between the object within the video frame and the information about the object, and extracting and storing coordinates of the object within the video frame.

10. The system of claim 9 , wherein the operations further include:

mapping the coordinates of the object within the video frame to an external address, the external address being a link to a merchant portal or web page through which the object may be purchased.

11. The system of claim 10 , wherein a user interaction with the object within the video frame provides the user with further information about the object.

12. The system of claim 9 , wherein the operations further include:

incorporating a decoration of the object in the video frame.

13. The system of claim 10 , wherein the operations further include:

combining the video file and information about the object into a social media post; and

delivering the social media post to consumers.

14. A non-transitory machine-readable medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for ingesting and presenting a video with associated linked products and metadata as a unified actionable shopping experience, the operations comprising:

receiving information about an object depicted in a frame of a video file;

dynamically generating, by an artificial intelligence frame analysis model, guidance for a creator of the video file based on a correlation between the frame of the video file and the information about the object; and

delivering the guidance to the creator of the video file via one or more of emails, push notifications, and in-app messaging.

15. The non-transitory machine-readable medium of claim 14 , the operations further comprising:

determining the correlation between the frame of the video and the information about the object by determining a correlation between the object within the video frame and the information about the object, and extracting and storing coordinates of the object within the video frame.

16. The non-transitory machine-readable medium of claim 15 , the operations further comprising:

mapping the coordinates of the object within the video frame to an external address, the external address being a link to a merchant portal or web page through which the object may be purchased.

17. The non-transitory machine-readable medium of claim 16 , wherein a user interaction with the object within the video frame provides the user with further information about the object.

18. The non-transitory machine-readable medium of claim 16 , the operations further comprising:

combining the video file and information about the object into a social media post; and

delivering the social media post to consumers.

19. The non-transitory machine-readable medium of claim 15 , the operations further comprising:

incorporating a decoration of the object in the video frame.

20. The non-transitory machine-readable medium of claim 19 , wherein the decoration is one of a bounding box, glitter effects, or highlighting effects.