System and Method of End-to-End Supply Chain Segmentation
A system and method are disclosed for identifying supply chain segmentations from an initially non-segmented supply chain is disclosed. Embodiments of identifying supply chain segmentations includes receiving a current state of items in a supply chain network, wherein an inventory of the one or more supply chain entities is used to store one or more items, organizing one or more supply chain entities into one or more customer clusters, associating supply chain models for customer clusters, and transporting items among one or more supply chain entities.
1 . A computer-implemented method for articulating customer business models by a computer comprising a processor and a memory, comprising:
analyzing customers to identify characteristics of the customers;
grouping customers into customer clusters;
associating customer clusters with customer business models; and
selecting a supply chain model that fulfills service requirements of each customer business model.
2 . The computer-implemented method of claim 1 , wherein the customer clusters comprise groups of customers each having particular service requirements.
3 . The computer-implemented method of claim 1 , further comprising:
translating customer business models into supply chain models, wherein each supply chain model comprises industry-specific characteristics based on customer and product attributes identified in a corresponding customer business model.
4 . The computer-implemented method of claim 1 , wherein a number and type of supply chain models is industry-agnostic and determined by customer and product attributes and a required service package for each company.
5 . The computer-implemented method of claim 1 , wherein each customer cluster has different business requirements based on one or more of: demand volatility, order lead time, contracts, service expectations, and delivery and stocking requirements.
6 . The computer-implemented method of claim 1 , wherein the characteristics of the customers comprise one or more of: a presence or absence of contractor agreements, a size of a customer order, a lead time of customer orders and a seasonality of customer orders.
7 . The computer-implemented method of claim 1 , wherein the customer business models comprise groups of customers, channels, or product concepts based on one or more customer attributes.
8 . A system for articulating customer business models, comprising:
a computer comprising a processor and a memory and configured to:
analyze customers to identify characteristics of the customers;
group customers into customer clusters;
associate customer clusters with customer business models; and
select a supply chain model that fulfills service requirements of each customer business model.
9 . The system of claim 8 , wherein the customer clusters comprise groups of customers each having particular service requirements.
10 . The system of claim 8 , wherein the computer is further configured to:
translate customer business models into supply chain models, wherein each supply chain model comprises industry-specific characteristics based on customer and product attributes identified in a corresponding customer business model.
11 . The system of claim 8 , wherein a number and type of supply chain models is industry-agnostic and determined by customer and product attributes and a required service package for each company.
12 . The system of claim 8 , wherein each customer cluster has different business requirements based on one or more of: demand volatility, order lead time, contracts, service expectations, and delivery and stocking requirements.
13 . The system of claim 8 , wherein the characteristics of the customers comprise one or more of: a presence or absence of contractor agreements, a size of a customer order, a lead time of customer orders and a seasonality of customer orders.
14 . The system of claim 8 , wherein the customer business models comprise groups of customers, channels, or product concepts based on one or more customer attributes.
15 . A non-transitory computer-readable medium embodied with software, the software when executed configured to articulate customer business models by:
analyzing customers to identify characteristics of the customers;
grouping customers into customer clusters;
associating customer clusters with customer business models; and
selecting a supply chain model that fulfills service requirements of each customer business model.
16 . The non-transitory computer-readable medium of claim 15 , wherein the customer clusters comprise groups of customers each having particular service requirements.
17 . The non-transitory computer-readable medium of claim 15 , wherein the software when executed is further configured to:
translate customer business models into supply chain models, wherein each supply chain model comprises industry-specific characteristics based on customer and product attributes identified in a corresponding customer business model.
18 . The non-transitory computer-readable medium of claim 15 , wherein a number and type of supply chain models is industry-agnostic and determined by customer and product attributes and a required service package for each company.
19 . The non-transitory computer-readable medium of claim 15 , wherein each customer cluster has different business requirements based on one or more of: demand volatility, order lead time, contracts, service expectations, and delivery and stocking requirements.
20 . The non-transitory computer-readable medium of claim 19 , wherein the characteristics of the customers comprise one or more of: a presence or absence of contractor agreements, a size of a customer order, a lead time of customer orders and a seasonality of customer orders.