Essays about: "CRM system"

Showing result 1 - 5 of 66 essays containing the words CRM system.

1. 1. "How can tech startups enhance their customer retention and acquisition

   University essay from Högskolan i Gävle/Avdelningen för ekonomi

   Author : Danut Avram; Oluwadamilola Olaitan; [2023]
   Keywords : Customer retention; Customer acquisition; Social media marketing; User engagement; Brand awareness; Tech startups; Customer relationship management CRM ; Trust; Targeted advertisement.;

   Abstract : This  research  emphasizes  the role  of  social  media  in  customer  acquisition  retention.Furthermore, it investigates insights that have the potential to benefit tech startups inshaping  their  strategies  and  effectively  allocating  resources  to  achieve  consistentcommunication with their customer base. READ MORE

3. 2. 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

4. 3. A tailored web-based system for managing and attracting customers

   University essay from

   Author : Carl Anton Gustavsson; Elis Indebetou; Filip Von Knorring; Erik Larsson; Nils Persson; Ramez Shakarna; [2023]
   Keywords : CRM;

   Abstract : Denna rapport redogör utvecklingen av ett kundhanteringssystem (CRM) och en webbsida för Minafribrev, ett finansbolag, i syfte att förbättra kundinteraktioner och relationshantering. Målet var att utveckla ett system som kunde användas för att effektivt hantera kundaktiviteter och att lagra relevant data som kontaktinformation, information om möten, och att hantera kundrelaterade uppgifter. READ MORE

5. 4. 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

6. 5. Customer Acquisition Process Digitalization: A Case Study on the Use of Machine Learning in The Corporate Insurance Industry

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Klara Larsson; Freja Ling; [2023]
   Keywords : Customer Relationship Management CRM ; Customer Classification; Customer Acquisition; Machine Learning; Insurance Industry; Corporate Insurance; B2B; AI-CRM; Kundrelationssystem CRM ; Kunklassificering; Nykundsbearbetning; Maskininlärning; Försäkringsbranchen; Företagsförsäkring; B2B; AI-CRM;

   Abstract : This thesis explores the application of machine learning 8ml9 techniques in customer classification and their intergration into customer relationship management (CRM) systems within the corporate insurance industry. The research aims to address the gap in the use of AI-CRM for the corporate insurance industry. READ MORE