Abstract
Allocating resources to customers in the customer
service is a difficult problem, because designing
an optimal strategy to achieve an optimal trade-off
between available resources and customers’ satisfaction is non-trivial. In this paper, we formalize
the customer routing problem, and propose a novel
framework based on deep reinforcement learning
(RL) to address this problem. To make it more
practical, a demo is provided to show and compare
different models, which visualizes all decision process, and in particular, the system shows how the
optimal strategy is reached. Besides, our demo system also ships with a variety of models that users
can choose based on their needs.