US 11,704,685 B2
Framework for implementing segmented dimensions
Adeel Najmi, Plano, TX (US)
Assigned to Blue Yonder Group, Inc., Scottsdale, AZ (US)
Filed by Blue Yonder Group, Inc., Scottsdale, AZ (US)
Filed on Jul. 15, 2022, as Appl. No. 17/866,087.
Application 17/866,087 is a continuation of application No. 14/216,477, filed on Mar. 17, 2014, granted, now 11,397,957.
Claims priority of provisional application 61/800,298, filed on Mar. 15, 2013.
Prior Publication US 2022/0351222 A1, Nov. 3, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/0204 (2023.01); G06Q 10/0637 (2023.01); G06Q 10/0639 (2023.01)
CPC G06Q 30/0204 (2013.01) [G06Q 10/0637 (2013.01); G06Q 10/06393 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system of segmentation planning, comprising:
a computer system comprising a processor, a memory, and a database comprising one or more strategies associated with predefined tactics, the computer system:
defines a first dimension and a second dimension of one or more entities;
receives data from the one or more entities by a network connected with supply chain transaction systems associated with the one or more entities;
profiles the one or more entities according to one or more cost-to-serve intervals and one or more value intervals;
creates a 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 and the one or more value intervals and one or more rules;
defines one or more micro-segments of the multi-dimensional cube;
assigns the one or more strategies to the one or more micro-segments based on the cost-to-serve interval and the value interval of entities associated with the one or more micro-segments;
implements the 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.