Toll-free telecommunications management platform

1. A method comprising:

receiving a natural language input;

determining a telecommunications routing code based at least in part on the natural language input, the telecommunications routing code associated with routing calls to a telecommunications number; and

populating the telecommunications routing code at a node of a call routing decision tree to generate a populated call routing decision tree comprising a call routing template.

2. The method of claim 1 , wherein the natural language input includes a text element.

3. The method of claim 2 , wherein the text element includes a scanned text element.

4. The method of claim 1 , wherein the natural language input includes a voice element.

5. The method of claim 4 , wherein the voice element is obtained at least in part by voice recognition software.

6. The method of claim 1 , wherein the call routing decision tree determines a call path taken by an incoming call to a termination number.

7. The method of claim 1 , wherein the call routing decision tree determines a call path taken by an incoming call based at least in part on a time of day the incoming call is received.

8. The method of claim 1 , wherein the call routing decision tree determines a call path taken by an incoming call based at least in part on a geographic location of a device from which the incoming call is received.

9. The method of claim 1 , wherein the call routing decision tree determines a call path taken by an incoming call within a telecommunications system.

10. A non-transitory computer-readable medium comprising computer executable instructions that adapt at least one processor to:

receive a natural language input;

determine a telecommunications routing code based at least in part on the natural language input, the telecommunications routing code associated with routing calls to a telecommunications number; and

populate the telecommunications routing code at a node of a call routing decision tree to generate a populated call routing decision tree comprising a call routing template.

11. The non-transitory computer-readable medium of claim 10 , wherein the natural language input includes a text element.

12. The non-transitory computer-readable medium of claim 11 , wherein the text element includes a scanned text element.

13. The non-transitory computer-readable medium of claim 10 , wherein the natural language input includes a voice element.

14. The non-transitory computer-readable medium of claim 13 , wherein the voice element is obtained at least in part by voice recognition software.

15. The non-transitory computer-readable medium of claim 10 , wherein the call routing decision tree determines a call path taken by an incoming call to a termination number.

16. The non-transitory computer-readable medium of claim 10 , wherein the call routing decision tree determines a call path taken by an incoming call based at least in part on a time of day the incoming call is received.

17. The non-transitory computer-readable medium of claim 10 , wherein the call routing decision tree determines a call path taken by an incoming call based at least in part on a geographic location of a device from which the incoming call is received.

18. The non-transitory computer-readable medium of claim 10 , wherein the call routing decision tree determines a call path taken by an incoming call within a telecommunications system.

19. The non-transitory computer-readable medium of claim 10 , wherein the call routing decision tree determines a call path taken by an incoming call based at least in part on a specified call volume threshold.

20. The non-transitory computer-readable medium of claim 10 , wherein the call routing decision tree determines a call path taken by an incoming call based at least in part on a geographic location associated with a termination number.