Transitioning inventory search from large geographic area to immediate personal area

1. A method for improved efficiency of an inventory management system, the method comprising:

detecting, by a user device, launch of an application executing on the user device;

upon detecting launch of the application and without further initiating from a user of the user device, automatically prompting a remote server to perform a first inventory search of inventory data stored in a database using location information provided by the user device, wherein the first inventory search comprises at least a geospatial search of the stored inventory data using the location information;

receiving, at the user device from the remote server, a list of search results;

receiving, by the user device, image data from a camera associated with the user device, the image data comprising image data for an inventory item within a field-of-view of the camera;

determining, by the user device, a class label for the inventory item within the field-of-view of the camera;

performing a second inventory search by correlating the class label with results of the second inventory search; and

presenting, by the user device, results of the second inventory search, the presented information comprising inventory data corresponding to at least one search result from the list of search results received from the database during the first inventory search.

2. The method of claim 1 , wherein the stored inventory data comprises a unique identifier for each inventory item in the inventory data.

3. The method of claim 1 , wherein determining, by the user device, the class label for the inventory item within the field-of-view of the camera comprises:

performing image classification on the image data to determine the class label.

4. The method of claim 1 , wherein performing the second inventory search by correlating class labels with the results of the second inventory search comprises:

matching the class labels against descriptive information for each inventory item in the second inventory search.

5. The method of claim 4 , further comprising:

determining that there are multiple potential matches between the class labels and the descriptive information; and

based on the determining, applying one or more heuristics to determine a best match inventory item.

6. The method of claim 1 , further comprising:

receiving location information from beacon data co-located with the user device.

7. The method of claim 1 , comprising:

storing the results of the first inventory search to a non-volatile memory of the user device, wherein presenting the results of the second inventory search comprises using the results of the first inventory search stored to the non-volatile memory of the user device.

8. A non-transitory computer readable medium having instructions stored thereon, which, when executed by a processor, causes a system to perform operations comprising:

prompting, by a user device, a remote server to perform a first inventory search of inventory data stored in a database using location information provided by the user device without receiving a search query from a user of the user device, wherein the first inventory search comprises at least a geospatial search of the stored inventory data using the location information;

receiving, at the user device from the remote server, a list of search results;

receiving, by the user device, image data from a camera associated with the user device, the image data comprising image data for an inventory item within a field-of-view of the camera;

determining, by the user device, a class label for the inventory item within the field-of-view of the camera;

performing a second inventory search by correlating the class label with results of the second inventory search; and

presenting, by the user device, results of the second inventory search, the presented information comprising inventory data corresponding to at least one search result from the list of search results received from the database during the first inventory search.

9. The non-transitory computer readable medium of claim 8 , wherein the stored inventory data comprises a unique identifier for each inventory item in the inventory data.

10. The non-transitory computer readable medium of claim 8 , wherein determining, by the user device, the class label for the inventory item within the field-of-view of the camera comprises:

performing image classification on the image data to determine the class label.

11. The non-transitory computer readable medium of claim 8 , wherein performing the second inventory search by correlating class labels with the results of the second inventory search comprises:

matching the class labels against descriptive information for each inventory item in the second inventory search.

12. The non-transitory computer readable medium of claim 11 , further comprising:

determining that there are multiple potential matches between the class labels and the descriptive information; and

based on the determining, applying one or more heuristics to determine a best match inventory item.

13. The non-transitory computer readable medium of claim 8 , further comprising:

receiving the location information from beacon data co-located with the user device.

14. The non-transitory computer readable medium of claim 8 , comprising:

storing the results of the first inventory search to a non-volatile memory of the user device, wherein presenting the results of the second inventory search comprises using the results of the first inventory search stored to the non-volatile memory of the user device.

15. A system comprising:

a processor; and

a memory having programming instructions stored thereon, which, when executed by the processor causes the system to perform operations, comprising:

detecting launch of an application executing on the system;

upon detecting launch of the application and without further initiating from a user of the system, automatically prompting a remote server to perform a first inventory search of inventory data stored in a database using location information provided by the system, wherein the first inventory search comprises at least a geospatial search of the stored inventory data using the location information;

receiving, from the remote server, a list of search results;

receiving image data from a camera associated with the system, the image data comprising image data for an inventory item within a field-of-view of the camera;

determining a class label for the inventory item within the field-of-view of the camera;

performing a second inventory search by correlating the class label with results of the second inventory search; and

presenting results of the second inventory search, the presented information comprising inventory data corresponding to at least one search result from the list of search results received from the database during the first inventory search.

16. The system of claim 15 , wherein the stored inventory data comprises a unique identifier for each inventory item in the inventory data.

17. The system of claim 15 , wherein determining the class label for the inventory item within the field-of-view of the camera comprises:

performing image classification on the image data to determine the class label.

18. The system of claim 15 , wherein performing the second inventory search by correlating class labels with the results of the second inventory search comprises:

matching the class labels against descriptive information for each inventory item in the second inventory search.

19. The system of claim 18 , further comprising:

determining that there are multiple potential matches between the class labels and the descriptive information; and

based on the determining, applying one or more heuristics to determine a best match inventory item.

20. The system of claim 15 , wherein the operations further comprise:

storing the results of the first inventory search to a non-volatile memory of the system,

wherein presenting the results of the second inventory search comprises using the results of the first inventory search stored to the non-volatile memory of the system.