A collaborative model for customer retention on user service experience
P Singh, V Agrawal - … and Computational Sciences: Proceedings of IC4S …, 2019 - Springer
P Singh, V Agrawal
Advances in Computer Communication and Computational Sciences: Proceedings of …, 2019•SpringerThe traditional brick-and-mortar economy that we are accustomed to is transforming into a
realm that is fully digitized. To enable such an age with modern businesses, differential
services through multiple providers must be utilized. This compels service providers to
collaborate with one another to maximize their payoffs. The paper suggests a model based
on machine learning algorithms to tag loyal customers and provides them better quality of
service (QoS) experiences to retain them in a system, thereby affecting the overall payoffs of …
realm that is fully digitized. To enable such an age with modern businesses, differential
services through multiple providers must be utilized. This compels service providers to
collaborate with one another to maximize their payoffs. The paper suggests a model based
on machine learning algorithms to tag loyal customers and provides them better quality of
service (QoS) experiences to retain them in a system, thereby affecting the overall payoffs of …
Abstract
The traditional brick-and-mortar economy that we are accustomed to is transforming into a realm that is fully digitized. To enable such an age with modern businesses, differential services through multiple providers must be utilized. This compels service providers to collaborate with one another to maximize their payoffs. The paper suggests a model based on machine learning algorithms to tag loyal customers and provides them better quality of service (QoS) experiences to retain them in a system, thereby affecting the overall payoffs of the e-business as retention of loyal customers proves to be less expensive as compared to acquiring new customers.
Springer
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