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1. (WO2019032818) SYSTEMS, DEVICES, AND METHODS FOR AUTOMATICALLY TRIGGERING PREDICTIVE EVENTS IN RESPONSE TO DETECTION OF USERS
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WHAT IS CLAIMED IS:

1. A system for automatically triggering predictive events in a facility in response to user detection, the system comprising:

(a) a remote computing system configured to receive location data and identification data associated with a mobile device, the remote computing system configured to:

(i) determine that the location data associated with the mobile device corresponds to a facility location known to the remote computing system;

(ii) identify an individual associated with the mobile device based on the identification data;

(iii) automatically access an account associated with the individual upon identifying the individual, the account including previous activity data of the individual; and

(iv) transmit instructions to trigger a predictive event at a facility based on the location data and the previous activity data; and

(b) a local computing system disposed at the facility corresponding to the facility location, the local computing system being configured to:

(i) receive the instructions from the remote computing system;

(ii) determine whether to approve the instructions based on

contemporaneously determined factors associated with the facility;

(iii) automatically trigger the predictive event in response to approval of the instructions; and

(iv) transmit a notification to the mobile device in response to completion of the predictive event.

2. The system of claim 1, wherein the local computing system is further configured to: access an inventory system to confirm availability of items required for completion of the predictive event.

3. The system of claim 1, wherein the local computing system is further configured to: receive a second notification from the mobile device indicating whether the individual accepts or declines a result of completing the predictive event.

4. The system of claim 1, wherein the local computing system is further configured to: monitor a geographical location of the mobile device; and

determine that the individual associated with the mobile device is likely to decline the predictive event based on the geographical location of the mobile device.

5. The system of claim 1, wherein the contemporaneously determined factors include an availability of items or machines required for completion of the predictive event at a time the individual arrives at the facility.

6. The system of claim 1, wherein the remote computing system is further configured to: receive a second set of location data and a second set of identification data associated with a second mobile device;

determine that the second set of location data corresponds to the facility location known to the remote computing system;

identify a second individual associated with the second mobile device based on the second set of identification data; and

automatically access a second account associated with the second individual upon identifying the second individual, the second account including previous activity data of the second individual; and

wherein the local computing system is further configured to transmit a third notification to the second mobile device indicating completion of the predictive event.

7. The system of claim 1, wherein the previous activity data includes data relating to identities of items or services retrieved by the individual, quantities of items retrieved by the individual, or retrieval times of items or services retrieved by the individual.

8. A method for automatically triggering predictive events in a facility in response to user detection, the method comprising:

receiving location data and identification data associated with a mobile device at a remote computing system;

determining that the location data associated with the mobile device corresponds to a facility location known to the remote computing system;

identifying an individual associated with the mobile device based on the identification data;

automatically accessing an account associated with the individual upon identifying the individual, the account including previous activity data of the individual;

transmitting instructions to trigger a predictive event at the facility based on the location data and the previous activity data;

receiving the instructions at a local computing system disposed at the facility corresponding to the facility location;

determining whether to approve the instructions based on contemporaneously determined factors associated with the facility;

automatically triggering the predictive event in response to approval of the instructions; and

transmitting a notification from the local computing system to the mobile device, in response to completion of the predictive event.

9. The method of claim 8, further comprising:

accessing an inventory system, using the local computing system, to confirm availability of items required for completion of the predictive event.

10. The method of claim 8, further comprising:

receiving a second notification from the mobile device indicating whether the individual accepts or declines a result of completing the predictive event.

11. The method of claim 8, further comprising:

monitoring a geographical location of the mobile device; and

determining that the individual associated with the mobile device is likely to decline the predictive event based on the geographical location of the mobile device.

12. The method of claim 8, wherein the contemporaneously determined factors include an availability of items or machines required for completion of the predictive event at a time the individual arrives at the facility.

13. The method of claim 8, further comprising:

receiving a second set of location data and a second set of identification data associated with a second mobile device at the remote computing system;

determining that the second set of location data corresponds to the facility location known to the remote computing system;

identifying a second individual associated with the second mobile device based on the second set of identification data; and

automatically accessing a second account associated with the second individual upon identifying the second individual, the second account including previous activity data of the second individual; and

wherein the local computing system is further configured to transmit a third notification to the second mobile device indicating completion of the predictive event.

14. The method of claim 8, wherein the previous activity data includes data relating to identities of items or services retrieved by the individual, quantities of items retrieved by the individual, or retrieval times of items or services retrieved by the individual.

15. A non-transitory machine readable medium storing instructions executable by a processing device, wherein execution of the instructions causes the processing device to implement a method for automatically triggering predictive events in a facility in response to user detection, the method comprising:

receiving location data and identification data associated with a mobile device at a remote computing system;

determining that the location data associated with the mobile device corresponds to a facility location known to the remote computing system;

identifying an individual associated with the mobile device based on the identification data;

automatically accessing an account associated with the individual upon identifying the individual, the account including previous activity data of the individual;

transmitting instructions to trigger a predictive event at the facility based on the location data and the previous activity data;

receiving the instructions at a local computing system disposed at the facility corresponding to the facility location;

determining whether to approve the instructions based on contemporaneously determined factors associated with the facility;

automatically triggering the predictive event in response to approval of the instructions; and

transmitting a notification from the local computing system to the mobile device, in response to completion of the predictive event.

16. The non-transitory machine readable medium of claim 15, wherein execution of the instructions further causes the processing device to:

access an inventory system, using the local computing system, to confirm availability of items required for completion of the predictive event.

17. The non-transitory machine readable medium of claim 15, wherein execution of the instructions further causes the processing device to:

receive a second notification from the mobile device indicating whether the individual accepts or declines a result of completing the predictive event.

18. The non-transitory machine readable medium of claim 15, wherein execution of the instructions further causes the processing device to:

monitor a geographical location of the mobile device; and

determine that the individual associated with the mobile device is likely to decline the predictive event based on the geographical location of the mobile device.

19. The non-transitory machine readable medium of claim 15, wherein the

contemporaneously determined factors include an availability of items or machines required for completion of the predictive event at a time the individual arrives at the facility.

20. The non-transitory machine readable medium of claim 15, wherein execution of the instructions further causes the processing device to:

receive a second set of location data and a second set of identification data associated with a second mobile device at the remote computing system;

determine that the second set of location data corresponds to the facility location known to the remote computing system;

identify a second individual associated with the second mobile device based on the second set of identification data; and

automatically access a second account associated with the second individual upon identifying the second individual, the second account including previous activity data of the second individual; and

wherein the local computing system is further configured to transmit a third notification to the second mobile device indicating completion of the predictive event.