A Framework for Conversational AI Bot-to-Human Handoff

Henke, Richard, 2020

Type of Thesis Master Thesis
Client
Supervisor Martin, Andreas, Pande, Charuta
Views: 44 - Downloads: 3
This thesis makes a contribution to the contact center industry and concerns the deployments of bots with bot-to-human handoff capabilities. Kovac (2009) states that “Trimming customer service costs while boosting customer satisfaction — and hence loyalty — is challenging in the best of times.” Cost cutting in the contact center through automation and ‘intelligent’ services is not new but advances in conversational AI technology have created new opportunities for contact centers to better attempt the balancing act of managing and cutting costs whilst improving the customer experience. For a number of reasons, primarily grounded in the immaturity of the technology bots and human agents will, for the time being, work in harmony to attempt to deliver good customer experiences, while cutting costs. There is an existing gap in the knowledge around how handoffs should be conducted between bots and human agents....
Studyprogram: Business Information Systems (Master)
Keywords
Confidentiality: öffentlich
Type of Thesis
Master Thesis
Authors
Henke, Richard
Supervisor
Martin, Andreas, Pande, Charuta
Publication Year
2020
Thesis Language
English
Confidentiality
Public
Studyprogram
Business Information Systems (Master)
Location
Olten