Framework for Implementing Segmented Dimensions

Abstract

A system and method are disclosed for segmentation planning wherein a cost-to-serve interval and a value interval are used to generate a strategy for a micro-segment defined along a portion of the cost-to-serve interval and value interval, and similar micro-segments may be assigned to a single persona based on similar cost-to-serve and value tradeoffs.

What is claimed is: 
     
         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.