Automating the creation of listings using augmented reality computer technology
Provided herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for using computer technology to automate the creation of consistent, high quality listings for selling “for sale objects” (FSO) on an ecommerce site. Some embodiments are configured to or operate by: identifying a category of a FSO; accessing templates for the category from a template database; navigating a user through a computer generated augmented reality (AR) environment using the templates to generate images of the FSO; analyzing one or more of the images to determine characteristics of the FSO; and generating a listing for the FSO using the images and the characteristics. In some embodiments, the templates were generated from certain past listings of the category from a historical database, and wherein the certain past listings were selected based on one or more of: price achieved, time to sell, buyer feedback, sellability score, and/or difference between initial offer price and final selling price.
1. A computer implemented method, comprising:
identifying a category of a for sale object (FSO);
selecting, by one or more processors, successful listings associated with the category from a historical database, wherein the successful listings are selected based on one or more of: a price achieved, a time to sell, a buyer feedback, a sellability score, and/or a difference between initial offer price and final selling price;
identifying one or more common pictures in the selected listings;
accessing templates for the category from a template database;
selecting a first common picture of the one or more common pictures for which to navigate a user through;
navigating, by the one or more processors, a user through a computer generated augmented reality (AR) environment using the selected first common picture to take an image of the FSO, wherein the navigating comprises providing instructions to the user though a mobile device with regard to changing a position of at least one of the FSO or a camera position of the mobile device;
receiving, through the mobile device, an image of the FSO responsive to the instructions and in accordance with the first common picture; and
generating, by the one or more processors, a listing for the FSO using the received image and the characteristics.
2. The method of claim 1 , wherein the templates were generated from certain past listings of the category from a historical database, and wherein the certain past listings were selected based on one or more of: price achieved, time to sell, buyer feedback, sellability score, and/or difference between initial offer price and final selling price.
3. The method of claim 1 , further comprising:
tracking the listing; and
using information obtained from the tracking to improve the templates for the category using AI and ML technology.
4. The method of claim 1 , further comprising, prior to the identifying:
generating the templates for the category.
5. The method of claim 1 , wherein the navigating comprises providing the instructions for display in a window of the mobile device.
6. The method of claim 1 , wherein the receiving comprises:
determining that a position of the FSO corresponds to the first common picture.
7. The method of claim 6 , further comprising:
providing an instruction for the user to take the image of the FSO, responsive to the determination that the position of the FSO corresponds to the first common picture.
8. The method of claim 6 , further comprising:
providing a command to the mobile device to take the image of the FSO, responsive to the determination that the position of the FSO corresponds to the first common picture.
9. The method of claim 1 , wherein the generating is based at least in part on one or more of the templates from the template database.
10. A non-transitory computer-readable device having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:
identifying a category of a for sale object (FSO);
selecting successful listings associated with the category from a historical database, wherein the successful listings are selected based on one or more of: a price achieved, a time to sell, a buyer feedback, a sellability score, and/or a difference between initial offer price and final selling price;
identifying one or more common pictures in the selected listings;
accessing templates for the category from a template database;
selecting a first common picture of the one or more common pictures for which to navigate a user through;
navigating a user through a computer generated augmented reality (AR) environment using the selected first common picture to take an image of the FSO, wherein the navigating comprises providing instructions to the user though a mobile device with regard to changing a position of at least one of the FSO or a camera position of the mobile device;
receiving, through the mobile device, an image of the FSO responsive to the instructions and in accordance with the first common picture;
and
generating a listing for the FSO using the received image and the characteristics.
11. The non-transitory computer-readable device of claim 10 , wherein the templates were generated from certain past listings of the category from a historical database, and wherein the certain past listings were selected based on one or more of: price achieved, time to sell, buyer feedback, sellability score, and/or difference between initial offer price and final selling price.
12. The non-transitory computer-readable device of claim 10 , the operations further comprising:
tracking the listing; and
using information obtained from the tracking to improve the templates for the category using AI and ML technology.
13. The non-transitory computer-readable device of claim 10 , the operations further comprising, prior to the identifying: generating the templates for the category.
14. A system, comprising:
a memory; and
at least one processor coupled to the memory and configured to perform operations comprising:
identifying a category of a for sale object (FSO);
selecting successful listings associated with the category from a historical database, wherein the successful listings are selected based on one or more of: a price achieved, a time to sell, a buyer feedback, a sellability score, and/or a difference between initial offer price and final selling price;
identifying one or more common pictures in the selected listings;
accessing templates for the category from a template database;
selecting a first common picture of the one or more common pictures for which to navigate a user through;
navigating a user through a computer generated augmented reality (AR) environment using the selected first common picture to take an image of the FSO, wherein the navigating comprises providing instructions to the user though a mobile device with regard to changing a position of at least one of the FSO or a camera position of the mobile device;
receiving, through the mobile device, an image of the FSO responsive to the instructions and in accordance with the first common picture; and
generating a listing for the FSO using the received image and the characteristics.
15. The system of claim 14 , wherein the templates were generated from certain past listings of the category from a historical database, and wherein the certain past listings were selected based on one or more of: price achieved, time to sell, buyer feedback, sellability score, and/or difference between initial offer price and final selling price.
16. The system of claim 14 , the operations further comprising:
tracking the listing; and
using information obtained from the tracking to improve the templates for the category using AI and ML technology.
17. The system of claim 14 , the operations further comprising, prior to the identifying:
generating the templates for the category.