Framework for Implementing Segmented Dimensions

1 . A system of segmentation planning, comprising:

a computer system comprising a processor, a memory, and a database, the computer system:

receives data from one or more entities by a network connected with supply chain transaction systems;

profiles the one or more entities according to one or more cost-to-serve intervals and one or more value intervals;

defines one or more micro-segments of a multi-dimensional cube such that each micro-segment comprises an overlap of a segment of a first dimension and a segment of a second dimension;

assigns one or more strategies to the one or more micro-segments based on a cost-to-serve interval and a value interval of entities associated with the one or more micro-segments;

implements predefined tactics to achieve the one or more strategies assigned to the one or more micro-segments by updating the supply chain transaction systems;

monitors, autonomously without human intervention, data from the supply chain transaction systems indicating unplanned events and changed conditions and in response to the monitoring, a learning feedback loop refines the one or more micro-segments and updates the predefined tactics to achieve the one or more strategies; and

adjusts the implementing of the predefined tactics by further updating the supply chain transaction systems.

2 . The system of claim 1 , wherein the supply chain transaction systems include warehouse management systems, manufacturing execution systems, transportation management systems and enterprise resource planning systems or a combination thereof.

3 . The system of claim 1 , wherein the computer system further:

associates the one or more strategies with predefined tactics; and

associates the predefined tactics with predefined postures, wherein each of the predefined postures are associated with a policy that represents a supply chain policy implemented into a supply chain plan, the database further comprising values stored therein of one or more cost-to-serve intervals and one or more value intervals associated with the one or more entities.

4 . The system of claim 1 , wherein the computer system further:

creates the multi-dimensional cube by segmenting the first dimension and the second dimension for the one or more entities based on the one or more cost-to-serve intervals, the one or more value intervals and the one or more rules.

5 . The system of claim 1 , wherein the computer system further:

provides a graphic user interface for subdividing or segmenting one or more of the first dimension and the second dimension.

6 . The system of claim 1 , wherein the computer system further:

mines data of the one or more entities to profile the first dimension and the second dimension using one or more histograms.

7 . The system of claim 1 , wherein the multi-dimensional cube further comprises an n-dimensional shape.

8 . A method of segmentation planning, comprising:

receiving, by a computer, data from one or more entities by a network connected with supply chain transaction systems, wherein the received data is stored in a database;

profiling, by the computer, the one or more entities according to one or more cost-to-serve intervals and one or more value intervals;

defining, by the computer, one or more micro-segments of s multi-dimensional cube such that each micro-segment comprising an overlap of a segment of a first dimension and a segment of a second dimension;

assigning, by the computer, one or more strategies to the one or more micro-segments based on a cost-to-serve interval and a value interval of entities associated with the one or more micro-segments;

implementing, by the computer, predefined tactics to achieve the one or more strategies assigned to the one or more micro-segments by updating the supply chain transaction systems;

monitoring, autonomously without human intervention, data from the supply chain transaction systems indicating unplanned events and changed conditions and in response to the monitoring, a learning feedback loop refines the one or more micro-segments and updates the predefined tactics to achieve the one or more strategies; and

autonomously adjusts the implementing of the predefined tactics by further updating the supply chain transaction systems.

9 . The method of claim 8 , wherein the supply chain transaction systems include warehouse management systems, manufacturing execution systems, transportation management systems and enterprise resource planning systems or a combination thereof.

10 . The method of claim 8 , further comprising:

associating, by the computer, the one or more strategies with predefined tactics; and

associating, by the computer, the predefined tactics with predefined postures, wherein each of the predefined postures are associated with a policy that represents a supply chain policy implemented into a supply chain plan, the database further comprising values stored therein of one or more cost-to-serve intervals and one or more value intervals associated with the one or more entities.

11 . The method of claim 8 , further comprising:

creating, by the computer, the multi-dimensional cube by segmenting the first dimension and the second dimension for the one or more entities based on the one or more cost-to-serve intervals, the one or more value intervals and the one or more rules.

12 . The method of claim 8 , further comprising:

providing, by the computer, a graphic user interface for subdividing or segmenting one or more of the first dimension and the second dimension.

13 . The method of claim 8 , further comprising:

mining, by the computer, data of the one or more entities to profile the first dimension and the second dimension using one or more histograms.

14 . The method of claim 8 , wherein the multi-dimensional cube further comprises an n-dimensional shape.

15 . A non-transitory computer-readable medium embodied with software for segmentation planning, the software when executed using one or more computers:

receives data from one or more entities by a network connected with supply chain transaction systems;

profiles the one or more entities according to one or more cost-to-serve intervals and one or more value intervals;

defines one or more micro-segments of a multi-dimensional cube such that each micro-segment comprising an overlap of a segment of the first dimension and a segment of the second dimension;

assigns one or more strategies to the one or more micro-segments based on a cost-to-serve interval and a value interval of entities associated with the one or more micro-segments;

implements predefined tactics to achieve the one or more strategies assigned to the one or more micro-segments by updating the supply chain transaction systems;

monitors, autonomously without human intervention, data from the supply chain transaction systems indicating unplanned events and changed conditions and in response to the monitoring, a learning feedback loop refines the one or more micro-segments and updates the predefined tactics to achieve the one or more strategies; and

autonomously adjusts the implementing of the predefined tactics by further updating the supply chain transaction systems.

16 . The non-transitory computer readable medium of claim 15 , wherein the supply chain transaction systems include warehouse management systems, manufacturing execution systems, transportation management systems and enterprise resource planning systems or a combination thereof.

17 . The non-transitory computer readable medium of claim 15 , wherein the software when executed by one or more computers further:

associates the one or more strategies with predefined tactics; and

associates the predefined tactics with predefined postures, wherein each of the predefined postures are associated with a policy that represents a supply chain policy implemented into a supply chain plan, the database further comprising values stored therein of one or more cost-to-serve intervals and one or more value intervals associated with the one or more entities.

18 . The non-transitory computer readable medium of claim 15 , wherein the software when executed by one or more computers further:

creates the multi-dimensional cube by segmenting the first dimension and the second dimension for the one or more entities based on the one or more cost-to-serve intervals, the one or more value intervals and the one or more rules.

19 . The non-transitory computer readable medium of claim 15 , wherein the software when executed by one or more computers further:

provides a graphic user interface for subdividing or segmenting one or more of the first dimension and the second dimension.

20 . The non-transitory computer readable medium of claim 18 , wherein the software when executed by one or more computers further:

mines data of the one or more entities to profile the first dimension and the second dimension using one or more histograms.