| Issue |
E3S Web Conf.
Volume 135, 2019
Innovative Technologies in Environmental Science and Education (ITESE-2019)
|
|
|---|---|---|
| Article Number | 04010 | |
| Number of page(s) | 10 | |
| Section | Environmental Planning and Environmental Education | |
| DOI | https://doi.org/10.1051/e3sconf/201913504010 | |
| Published online | 04 December 2019 | |
Digital clustering in customer relationship management
Don State Technical University, Gagarin Square 1, 344000, Rostov-on-Don, Russian Federation
* Corresponding author: alenkaru09@gmail.com
The value of a customer is a key parameter of the creation of all business processes. A significant number of companies faces the problem of inconsistency and incoordination in the provision of services to their customers because of lack of relevant information. In the essay we attempt to analyse new interpretations of customer segmentation technology based on predictive analytics. Modern software platforms from the leaders of the IT industry allow real-time modelling and monitoring of customer lifecycle to prevent customer’s “churn state”. Proactive customer care provides the implementation of not only omni-channel interaction, but also the transition to the opti-channel paradigm of business, which on the basis of in-depth study of consumer experience offers every client an individual and the best channel for communication with the company.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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