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Rapid changes and advancement in technology are characterized in today’s economy, which has especially changed the nature of customer service. Customers are expecting more convenience and faster service while companies cope with this demand by increasingly utilizing automation processes, such as chatbots or social bots. While chatbots and social bots have great potential to be utilized in customer service, there has been little research that describes the possible applications, customer expectations and key challenges in their implementation. This study aimed to narrow this research gap by conducting a case study at the Daimler AG in Germany. Six expert interviews were conducted at the Daimler AG and a customer survey with 46 respondents was executed to explore the applications of social bots and chatbots as well as key challenges in the implementation of chatbots. Potential applications of social bots and two utilization types of chatbots were identified. In addition, a total of 14 key challenges were explored. These challenges can be combated with 19 optimization proposals, which help ensure a successful implementation of chatbots in customer service. This thesis ends with four recommendations that can be used by future managers of bot projects. These are: Transfer information about bots to all involved parties, enhance the conversational aspect, optimize the content development and expand the bot’s abilities.
Digital Transformation is gradually changing the ways of operating the business. With the advancements and innovations in technology and changing customer preferences, it is essential to adapt to these changes. Digital transformation has the capability to impact nearly every line of business but one of the most significant impact is on Customer Experience. Embracing new technology and processes provides opportunity to create better experience for customers by focussing on automation, self-service, value, quality, customer expectations etc. Advanced systems or solutions that fulfil these requirements can be incorporated in the technology and process landscape of an organization who is supporting customers. This thesis aims at conceptually integrating the Customer Service and Retail Store Support processes at HUGO BOSS into the new Enterprise Service Management (ESM) tool which will in turn drive the digital transformation at HUGO BOSS. Moreover, the purpose of the study is to provide a recommendation if the new ESM tool can replace the existing Retail & Customer Care ticketing tool, thus enabling the Retail & Customer Care team and their respective processes to be fully onboarded and implemented in future into the new tool. This thesis is a qualitative research. At first, qualitative data about the existing ticketing tools used to provide customer service and retail store support is gathered through secondary data collection methods. Secondly, in-depth semi structured interviews with nine respondents from Retail & Customer Care team and IT Support teams were conducted to collect their feedback and analyse the benefits and drawbacks of these tools. Next, the thesis introduces the new ESM tool followed by its evaluation using Fit-Gap Analysis method. Further, the thesis includes the concept of ideal customer service and retail store support processes to be supported by the new tool using process flowcharts. In conclusion, the results of the thesis are presented based on which a future recommendation is provided.