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  4. Vol 6, Issue 4, 2022

CRM Hotel Management System and Intelligent Information Push Based on Bp Neural Network

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DOI: 10.23977/acss.2022.060406 | Downloads: 44 | Views: 884

Author(s)

Tang Li 1

Affiliation(s)

1 College of Management, Zhanjiang Science and Technology College, Zhanjiang, 524094, Guangdong, China

Corresponding Author

Tang Li

ABSTRACT

This paper takes hotel CRM as the main research object, on the basis of understanding its basic business process and organizational structure, comprehensive consideration of various factors, to develop a suitable for its development of hotel information management system. On this basis, the customer relationship management module is added. By effectively sorting out the hotel customer resources and deeply analyzing the customer relationship, a customer segmentation model based on hotel CRM is proposed. A data warehouse based on hotel is constructed, and BP neural network algorithm is used to cluster and analyze the data sets in the data warehouse. The data sets in the data warehouse are visualized on the Web page in the form of graphs, including customer satisfaction analysis, customer value analysis, customer segmentation results and targeted information push. It aims to provide a basis for hoteliers to make correct decisions and promote the steady and rapid development of hotels.

KEYWORDS

CRM Hotel, BP Network, Information Push, The Customer

CITE THIS PAPER

Tang Li, CRM Hotel Management System and Intelligent Information Push Based on Bp Neural Network. Advances in Computer, Signals and Systems (2022) Vol. 6: 49-56. DOI: http://dx.doi.org/10.23977/acss.2022.060406.

REFERENCES

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