Smart recurrent orders

1. A system comprising:

a processor; and

a memory including instructions, which when executed by the processor, cause the processor to perform operations comprising:

receiving an inventory indicator from a sensor on a user device and a current location of a user from positioning system in a mobile device, the inventory indicator corresponding to an inventory level of a first item;

identifying an order schedule for the first item;

determining a consumption rate of the first item based on the order schedule for the first item;

determining a change in the consumption rate of the first item based on the current location of the user;

determining an adjustment to the order schedule based on the inventory indicator and the change in the consumption rate; and

facilitating the adjustment to the order schedule for the first item, facilitating the adjustment includes:

causing display of a user interface on a computing device that includes recommendation of a purchase of the first item based on the adjustment to the order schedule, wherein the recommendation of the purchase of the first item is a selectable item on the user interface,

receiving a selection signal from the computing device that is associated with an activation of the selectable item on the user interface, and

when the selection signal is received, signaling to an external server to cause a purchase of the first item based on the adjustment to the order schedule.

2. The system of claim 1 , wherein the instructions cause the processor to perform operations comprising:

accessing user data corresponding to a user profile for a user;

determining at least one order parameter for a purchase of the first item based on analysis of the user data and the inventory level, the at least one order parameter being predictive of the user's future usage of the first item; and

signaling to the external server to cause the purchase of the first item using the at least one order parameter.

3. The system of claim 2 , wherein the instructions cause the processor to perform operations comprising:

storing an inventory level threshold of the first item;

determining the change in the consumption rate of the first item based on the inventory level threshold of the first item;

determining a low inventory condition when the inventory level is below the inventory level threshold; and

signaling to the external server to cause the purchase of the first item using the at least one order parameter based on the low inventory condition.

4. A method comprising:

receiving, by a processor, an inventory indicator from a user device and a current location of a user from a positioning system of a mobile device, the inventory indicator corresponding to an inventory level of a first item;

identifying an order schedule for the first item;

determining a consumption rate of the first item based on the order schedule for the first item;

determining a change in the consumption rate of the first item based on the current location of the user;

determining an adjustment to the order schedule based on the inventory indicator and the change in the consumption rate; and

facilitating the adjustment to the order schedule for the first item, facilitating the adjustment includes:

causing display of a user interface on a computing device that includes recommendation of a purchase of the first item based on the adjustment to the order schedule, wherein the recommendation of the purchase of the first item is a selectable item on the user interface,

receiving a selection signal from the computing device that is associated with an activation of the selectable item on the user interface, and

when the selection signal is received, signaling to an external server to cause a purchase of the first item based on the adjustment to the order schedule.

5. The method of claim 4 , further comprising:

comparing the inventory indicator to the order schedule and identifying a mismatch; and

based on the mismatch, adjusting the order schedule based on the comparison.

6. The method of claim 4 , further comprising:

accessing user data corresponding to a user profile for a user;

determining at least one order parameter for a purchase of the first item based on analysis of the user data and the inventory level, the at least one order parameter being predictive of the user's future usage of the first item; and

signaling to the external server to cause the purchase of the first item using the at least one order parameter.

7. The method of claim 6 , further comprising:

storing an inventory level threshold of the first item;

determining the change in the consumption rate of the first item based on the inventory level threshold of the first item;

determining a low inventory condition when the inventory level is below the inventory level threshold; and

signaling to the external server to cause the purchase of the first item using the at least one order parameter based on the low inventory condition.

8. The method of claim 6 , further comprising:

generating a notification indicating the low inventory condition; the notification including an option to cancel an automatic purchase of the first item using the at least one order parameter; and

causing presentation of the notification to the user;

receiving a user selection of the option to cancel the automatic purchase; and

canceling the automatic purchase in response to receiving the user selection of the option to cancel the automatic purchase.

9. The method of claim 6 , further comprising:

causing presentation of a recommendation to purchase the first item using the at least one order parameter to the user;

receiving, from the user, a request to purchase the first item in response to the recommendation; and

purchasing the first item using the at least one order parameter.

10. The method of claim 6 , wherein the user data includes a purchase history of the user, a browse history of the user, sensor data of the user, or a user profile of the user.

11. The method of claim 6 , wherein the user data includes a purchase history of the user, a browse history of the user; sensor data of the user, or a user profile of the user.

12. The method of claim 6 , further comprising:

identifying a recurrently purchased item from the user data, the first item being the identified recurrently purchased item.

13. The method of claim 6 , wherein the at least one order parameter include a quantity, a delivery time, a delivery method, a delivery destination, a merchant, or a product.

14. A non-transitory machine-readable medium that stores instructions that, when executed by a processor, cause the processor to perform operations comprising:

receiving an inventory indicator from a sensor on a user device and a current location of a user from positioning system in a mobile device, the inventory indicator corresponding to an inventory level of a first item;

identifying an order schedule for a first item;

determining a consumption rate of the first item based on the order schedule for the first item;

determining a change in the consumption rate of the first item based on the current location of the user;

determining an adjustment to the order schedule based on the inventory indicator and the change in the consumption rate; and

facilitating the adjustment to the order schedule for the first item, facilitating the adjustment includes:

causing display of a user interface on a computing device that includes recommendation of a purchase of the first item based on the adjustment to the order schedule, wherein the recommendation of the purchase of the first item is a selectable item on the user interface,

receiving a selection signal from the computing device that is associated with an activation of the selectable item on the user interface, and

when the selection signal is received, signaling to an external server to cause a purchase of the first item based on the adjustment to the order schedule.

15. The non-transitory machine-readable medium of claim 14 , wherein the instructions cause the processor to perform operations further comprising:

accessing user data corresponding to a user profile for a user;

determining at least one order parameter for a purchase of the first item based on analysis of the user data and the inventory level, the at least one order parameter being predictive of the user's future usage of the first item; and

signaling to the external server to cause the purchase of the first item using the at least one order parameter.

16. The non-transitory machine-readable medium of claim 14 , wherein the instructions cause the processor to perform operations further comprising:

storing an inventory level threshold of the first item;

determining the change in the consumption rate of the first item based on the inventory level threshold of the first item;

determining a low inventory condition when the inventory level is below the inventory level threshold; and

signaling to the external server to cause the purchase of the first item using the at least one order parameter based on the low inventory condition.