Sentence examples for customer clusters from inspiring English sources

Getting plugged in and connected takes relevant customer clusters and puts them in touch with relevant parts of your business.

Customer clustering is an essential step to reduce the complexity of large-scale logistics network optimization.

However, due to the heterogeneity and high-dimension of customers' characteristics, the customer clustering problem has not been widely studied.

This paper presents a fuzzy-based customer clustering algorithm with a hierarchical analysis structure to address this issue.

We propose a collaborative e-Work based optimization approach for assisting the strategic logistic network design problem, which considers fleet design and customer clustering decisions.

Normally, fleet design and customer clustering decisions are made by mid-level logistics managers while network design decision is made independently by high-level logistics managers.

Results from a case study in Anshun, China reveal that the proposed approach outperforms the other three prevailing algorithms to resolve the customer clustering problem.

On the other hand, tactical fleet design and customer clustering decisions are modeled based on a Hub and Spoke cost structure.

In fact, the MLBM is a filter based learning method that has three stages including customer clustering through a modified bi-clustering method, sub-problems' modeling and solving the whole model.

In warm weather, customers cluster around small wooden tables on the street.

The screen door slams regularly, and customers cluster around the glass-fronted display case.