System and method for procurement decisioning using home automation inputs

1. A system, comprising:

an interface to receive procurement data, the procurement data comprising data received from a home automation device;

a processor automated to:

apply forecast development rules to analyze the procurement data;

determine a first electricity procurement recommendation, the first electricity procurement recommendation based on the analyzed procurement data and the forecast development rules;

upon a determination of the first electricity procurement recommendation, the interface:

communicates the first electricity procurement recommendation to a retail electricity provider; and

receives a response to the first electricity procurement recommendation comprising updated customer forecast data, the updated customer forecast data based at least on the first electricity procurement recommendation;

the processor further automated to:

update the procurement data to further comprise updated customer forecast data;

apply forecast development rules to analyze the updated procurement data; and

determine whether to communicate an offer to a user device based on the received response to the first electricity procurement recommendation and the analyzed updated procurement data;

upon a determination to communicate the offer to the user device, the interface:

communicates the offer to the user device; and

receives a response to the offer from the user device;

the processor further automated to determine a second electricity procurement recommendation, the second electricity procurement recommendation based on:

the analyzed updated procurement data;

the forecast development rules; and

the received response to the offer from the user device;

wherein:

at least one of the first and second procurement recommendations comprise a recommendation to communicate the offer to the user device; and

the system implements at least one of the first electricity procurement recommendation and the second electricity procurement recommendation, the implementation comprising:

at least one of acquiring additional electricity and offloading electricity; and

controlling the home automation device to cause an electricity consumption change.

2. The system of claim 1 , wherein the offer comprises an incentive and further comprises:

the processor determining the incentive;

the interface communicating the incentive to a user device; and

the processor:

determining whether the user accepted the incentive; and

updating customer forecast data to indicate that the user accepted the incentive.

3. The system of claim 1 , wherein the offer comprises an optimization recommendation to a user and further comprises:

the processor determining the optimization recommendation;

the interface communicating the optimization recommendation to a user device; and

the processor:

determining whether the user accepts the optimization recommendation; and

updating customer forecast data upon a determination that the user accepted the optimization recommendation.

4. The system of claim 3 , wherein the optimization recommendation comprises a recommendation to purchase an electric device.

5. The system of claim 1 , wherein the procurement data comprises one or more of device data, premise information data, consumer behavior data, Advanced Metering System data, customer decision data, and weather data.

6. The system of claim 5 , wherein the customer decision data indicates whether the user opted-in to an incentive program.

7. The system of claim 1 , wherein the home automation device comprises one or more of a security camera, a thermostat, a garage door opener, a pool pump, a lock, a contact sensor, a solar panel, a smart plug, a water leak sensor, and a light bulb.

8. A method, comprising:

receiving, through an interface, procurement data, the procurement data comprising data received from a home automation device;

applying, using a processor, forecast development rules to analyze the procurement data;

determining, using the processor, a first electricity procurement recommendation, the first electricity procurement recommendation based on the analyzed procurement data and the forecast development rules;

upon a determination of the first electricity procurement recommendation, communicating the electricity procurement recommendation to a retail electricity provider;

receiving a response to the first electricity procurement recommendation comprising updated customer forecast data, the updated customer forecast data based at least on the first electricity procurement recommendation;

using the processor:

updating the procurement data to further comprise updated customer forecast data;

applying forecast development rules to analyze the updated procurement data; and

determining whether to communicate an offer to a user device based on the received response to the first electricity procurement recommendation and the analyzed updated procurement data;

upon a determination to communicate the offer to the user device, communicating the offer to the user device;

receiving a response to the offer from the user device;

determining, using the processor, a second electricity procurement recommendation, the second electricity procurement recommendation based on:

the updated procurement data;

the forecast development rules; and

the received response to the offer from the user device; and

implementing at least one of the first electricity procurement recommendation and the second electricity procurement recommendation, wherein implementing comprises;

at least one of acquiring additional electricity and offloading electricity; and

controlling the home automation device to case an electricity consumption change;

wherein at least one of the first and second procurement recommendations comprise a recommendation to communicate the offer to the user device.

9. The method of claim 8 , wherein the offer comprises an incentive and further comprises:

determining the incentive;

communicating the incentive to a user device;

determining whether the user accepted the incentive; and

updating customer forecast data to indicate that the user accepted the incentive.

10. The method of claim 8 , wherein the offer comprises an optimization recommendation to a user and further comprises:

determining the optimization recommendation;

communicating the optimization recommendation to a user device;

determining whether the user accepts the optimization recommendation;

updating customer forecast data upon a determination that the user accepted the optimization recommendation.

11. The method of claim 10 , wherein the optimization recommendation comprises a recommendation to purchase an electric device.

12. The method of claim 8 , wherein the procurement data comprises one or more of device data, premise information data, consumer behavior data, Advanced Metering System data, customer decision data, and weather data.

13. The method of claim 12 , wherein the customer decision data indicates whether the user opted-in to an incentive program.

14. The method of claim 8 , wherein the home automation device comprises one or more of a security camera, a thermostat, a garage door opener, a pool pump, a lock, a contact sensor, a solar panel, a smart plug, a water leak sensor, and a light bulb.

15. Non-transitory computer readable medium comprising logic, the logic, when executed by a processor, automated to:

receive procurement data, the procurement data comprising data received from a home automation device;

apply forecast development rules to analyze the procurement data;

determine a first electricity procurement recommendation, the first electricity procurement recommendation based on the analyzed procurement data and the forecast development rules;

upon a determination of the first electricity procurement recommendation, communicate the electricity procurement recommendation to a retail electricity provider;

receive a response to the first electricity procurement recommendation comprising updated customer forecast data, the updated customer forecast data based at least on the first electricity procurement recommendation;

update the procurement data to further comprise updated customer forecast data;

apply forecast development rules to analyze the updated procurement data;

determine whether to communicate an offer to a user device based on the received response to the first electricity procurement recommendation and the analyzed updated procurement data;

upon a determination to communicate the offer to the user device, communicating the offer to the user device;

receive a response to the offer from the user device; and

determine a second electricity procurement recommendation, the second electricity procurement recommendation based on the updated procurement data, the forecast development rules, and the received response to the offer from the user device; and

implement at least one of the first electricity procurement recommendation and the second electricity procurement recommendation, the implementation comprising:

at least one of acquiring additional electricity and offloading electricity; and

controlling the home automation device to cause an electricity consumption change;

wherein at least one of the first and second procurement recommendations comprise a recommendation to communicate the offer to the user device.

16. The medium of claim 15 , wherein the offer comprises an incentive and further automated to:

determine the incentive;

communicate the incentive to a user device;

determine whether the user accepted the incentive; and

update customer forecast data to indicate that the user accepted the incentive.

17. The medium of claim 15 , wherein the offer comprises an optimization recommendation to a user and further automated to:

determine the optimization recommendation;

communicate the optimization recommendation to a user device;

determine whether the user accepts the optimization recommendation;

update customer forecast data upon a determination that the user accepted the optimization recommendation.

18. The medium of claim 17 , wherein the optimization recommendation comprises a recommendation to purchase an electric device.

19. The medium of claim 15 , wherein the procurement data comprises one or more of device data, premise information data, consumer behavior data, Advanced Metering System data, customer decision data, and weather data.

20. The medium of claim 15 , wherein the home automation device comprises one or more of a security camera, a thermostat, a garage door opener, a pool pump, a lock, a contact sensor, a solar panel, a smart plug, a water leak sensor, and a light bulb.