Essays about: "crm in company"

Showing result 1 - 5 of 85 essays containing the words crm in company.

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

3. 2. A Predictive Analysis of Customer Churn

   University essay from KTH/Matematisk statistik

   Author : Olivia Eskils; Anna Backman; [2023]
   Keywords : Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

   Abstract : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. 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. Co creation strategy: application to the customer relation in a packaging company and real estate agency. : A qualitative study, with the perspective of business to business and business to customer

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Samia Dahir Idriss; [2023]
   Keywords : customer relationship management; co creation strategy; customer engagement; Value creation; Co creation; Co-production.; kundrelationshantering; samskapande strategi; kundengagemang; värdeskapande; samskapande; samproduktion.;

   Abstract : This master thesis investigated whether co creation strategy can be effective in a business to business and business to customer and can enhance customer relations challenges. This is to be able to help NykopingHem and EQpack enhance their current customer relations challenges. READ MORE

6. 5. Customer segmentation in Retail: An Experiment in Sweden

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

   Author : Nagma Athar Memon; [2023]
   Keywords : Customer Segmentation; Customer Relationship Management; Clustering; RFM; LRFMP;

   Abstract : The retail industry is continuously transforming due to digitalization, globalization, urbanization, and automatization. These factors contribute to new and more transparent retail with new customer behaviors, business models, and international competition. READ MORE