Essays about: "Customer Service and CRM"

Showing result 1 - 5 of 43 essays containing the words Customer Service and CRM.

  1. 1. Prediction Models for TV Case Resolution Times with Machine Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Borja Javierre I Moyano; [2023]
    Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

    Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE

  2. 2. Potential for improving public services by exploring citizens’ communication to public organizations in Sweden

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Ibrahim Ali Mehkri; [2023]
    Keywords : citizen inquiries; e-Government; Sweden; CRM;

    Abstract : Little et al., (1971) define citizen feedback as information from citizens directed to societal institutions, particularly government, to improve their functioning. READ MORE

  3. 3. Next Best Action : A clustering framework for Customer Relationship Management

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : William Takolander; [2022]
    Keywords : CRM; Clustering; Data analysis; Customer engagement;

    Abstract : For companies that supply a service to their customers, there will always be a difference in engagement from customer to customer. Some customers might have created an account, they might also have a paid subscription, or they neither have an account nor are a subscriber. Meaning that they only interact with the free content provided. READ MORE

  4. 4. Examining the factors contributing to third-party logistics companies’ growth in Sweden

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Gorpudolo Seleweyan; [2022]
    Keywords : Third-party Logistics 3PL ; Ordinary Least Square OLS ; Swedish Transport Market; Company Growth; Content Analysis; Technology;

    Abstract : The evolution of third-party logistics has sparked much academic interest over the years, with researchers looking at how the industry has grown and the factors that have contributed to it. The primary goal of this thesis is to examine the factors that have driven third-party logistics companies’ growth in Sweden for eighteen years (2002–2020). READ MORE

  5. 5. Customers perception of Artificial Intelligence as Chatbots in CRM

    University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Author : Elsa Kuylenstierna; Hanna Trägårdh; [2021]
    Keywords : CRM; customer relationship management; chatbots; artificial intelligence; ai; marketing; customer service; business administration; gen z; gen y; generations;

    Abstract : ABSTRACT  Title: Customers perception of Artificial Intelligence as Chatbots in CRM  Subject: Bachelor thesis in business administration, 15 hp  Authors: Hanna Trägårdh & Elsa Kuylenstierna  Supervisor: Klaus Solberg Söilen  Examiner: Ulf Aagerup  Keywords: Artificial intelligence, Chatbots, Customer Relationship Management, Generation Z, Generation Y  Purpose: The purpose of this study is to determine the perception Swedish customers from Gen Z and Gen Y have of companies using chatbots in customer relationship management. Furthermore the study will analyze if the different generational groups perceive chatbots in different ways. READ MORE