Over the last decade, retailing has been shifted to online eras of selling. And in order toidentify the needs of customers companies are using several tools and AI is one of them.AI is used as most prominent and most reliable tool to find out the needs andrequirements of the customers.This thesis will also try to find out the gaps which are not specified or developed inprevious researches like how AI is being used in retailing effectively and how it is beingapplied in retailing for customer segmentation and customer satisfaction.This draft will try to find out the solutions mostly by using qualitative data. And will tryto find out the best possible way to use AI in retailing.This thesis will also try to find out the rolls which chatboat assistance is playing andwill also try to find out how chatboat assistance is working and how it is trying to findout the needs and requirements of the consumers.After reading this paper draft readers will come to know, how AI is changing theconcept of retail marketing with extended customer support and how customers arebeing segmented with the help of AI.This draft will be helpful for the new entities entering in Digital marketing. Afterreading this draft they will come to know the concept of AI in retailing with targetcustomer base work.

<p>E-commerce presents a new format for doing business. It creates an efficient, yet complex, system providing potential time and cost savings. The main question is then how a comprehensive strategy is developed to outline the new process. Whether an MNC can successfully develop an e-commerce strategy or not, depends on their understanding of customers within their global environment and the secure transfer of customer information. They must adjust their company operations to concentrate on identifying sources of customer relationship management, such as segmentation, needs and abilities, benefits, values, buying behaviour and trust aspects. Companies need to differentiate their ecommerce approaches from their competition, in order to enable and motivate their transition to an online system.</p><p>In the case of our methodology, a qualitative, single case study approach of Electrolux Professional Laundry Group was used. Interviews of their customers and sales offices from around Europe determined their understanding and opinions of the closure of warehouses to concentrate on e-commerce within the company. Findings indicate that there is a need to clarify the role of the system, the safety of the customer's information and how it relates to the responsibilities of the sales offices in question. In addition, customers must be carefully researched in order to make the new system congruent with their purchasing preferences and abilities. Once created, a clear model is established to determine their affects on the process of creating a successful e-commerce strategy.</p><p>Due to the increasing presence of e-commerce amongst competition in Electrolux's industry, the need to develop a detailed e-commerce strategy is crucial. Their products and services are some of the highest-rated in the industry, but their e-commerce system needs to be improved to match the standards of their well-known brand name. Therefore, careful development of their e-commerce operations will require detailed attention to every stage of the strategy process.</p>

E-commerce presents a new format for doing business. It creates an efficient, yet complex, system providing potential time and cost savings. The main question is then how a comprehensive strategy is developed to outline the new process. Whether an MNC can successfully develop an e-commerce strategy or not, depends on their understanding of customers within their global environment and the secure transfer of customer information. They must adjust their company operations to concentrate on identifying sources of customer relationship management, such as segmentation, needs and abilities, benefits, values, buying behaviour and trust aspects. Companies need to differentiate their ecommerce approaches from their competition, in order to enable and motivate their transition to an online system. In the case of our methodology, a qualitative, single case study approach of Electrolux Professional Laundry Group was used. Interviews of their customers and sales offices from around Europe determined their understanding and opinions of the closure of warehouses to concentrate on e-commerce within the company. Findings indicate that there is a need to clarify the role of the system, the safety of the customer's information and how it relates to the responsibilities of the sales offices in question. In addition, customers must be carefully researched in order to make the new system congruent with their purchasing preferences and abilities. Once created, a clear model is established to determine their affects on the process of creating a successful e-commerce strategy. Due to the increasing presence of e-commerce amongst competition in Electrolux's industry, the need to develop a detailed e-commerce strategy is crucial. Their products and services are some of the highest-rated in the industry, but their e-commerce system needs to be improved to match the standards of their well-known brand name. Therefore, careful development of their e-commerce operations will require detailed attention to every stage of the strategy process.

This study deals with Customer Relationship Management (CRM) of a department of an Original Equipment Manufacturer (OEM) of trackless mining equipment. The study was done from the service deliverer's perspective. The aim of the study was to determine an effective Customer Satisfaction Index (CSI) in order to assist the OEM to deliver superior satisfaction to its customers in the Aftermarket service delivery environment. It also aims to determine what the OEM needs to do to meet the customers' demands in order to develop a meaningful relationship for both the customer and the service provider. The gap in the perceptions of the customers and the perceptions of the managers of the OEM's Aftermarket service contracts were identified, to reveal the Key Performance Areas (KPAs) for improvement. In order to reveal these KPAs, a literature study was conducted, as a first part of the study. The literature study also helped to create a better understanding of CRM, superior customer value and satisfaction in the service environment. The second part of the study consisted of an empirical investigation. Customers and managers of the OEM's Aftermarket service contracts had to complete questionnaires. Completed questionnaires were received from the total population of the customers and managers. The analysis of the database that was compiled from the questionnaire's responses was done by using Microsoft's ® Office 2007 Suite, supported by Levine, Stephan, Krehbiel and Berenson's textbook Statistics for Managers Using Microsoft ® Excel. The analysis identified a significant difference in seven out of the seventy-eight aspects, in the responses from the customers' perceptions versus the perceptions of the OEM's managers. The analysis also provided a base for the CSI. The combination of these aspects and the CSI exposed five KPAs which need to be improved by the service provider to meet the customers' demands. Improvement of the exposed five KPAs will assist to develop a meaningful relationship for both the customer and the service provider. This study recommended that the OEM develops an action plan based on the climate survey that was done in 2008 in the company and that the OEM improves the communication to the customers related to the OEM remuneration strategy. Furthermore, it was recommended that the importance of the information provided is emphasised by changing the reporting lines, that the defects with regard to the service exchange components' repairs are reported according to the ISO9001 system. A further recommendation is that the benefits to the customer to promote the OEM's service contracts should be communicated to the customer. Lastly, training to the OEM's managers to manage a service level agreement (SLA) successfully was recommended. / Thesis (M.B.A.)--North-West University, Potchefstroom Campus, 2009.

This study deals with Customer Relationship Management (CRM) of a department of an Original Equipment Manufacturer (OEM) of trackless mining equipment. The study was done from the service deliverer's perspective. The aim of the study was to determine an effective Customer Satisfaction Index (CSI) in order to assist the OEM to deliver superior satisfaction to its customers in the Aftermarket service delivery environment. It also aims to determine what the OEM needs to do to meet the customers' demands in order to develop a meaningful relationship for both the customer and the service provider. The gap in the perceptions of the customers and the perceptions of the managers of the OEM's Aftermarket service contracts were identified, to reveal the Key Performance Areas (KPAs) for improvement. In order to reveal these KPAs, a literature study was conducted, as a first part of the study. The literature study also helped to create a better understanding of CRM, superior customer value and satisfaction in the service environment. The second part of the study consisted of an empirical investigation. Customers and managers of the OEM's Aftermarket service contracts had to complete questionnaires. Completed questionnaires were received from the total population of the customers and managers. The analysis of the database that was compiled from the questionnaire's responses was done by using Microsoft's ® Office 2007 Suite, supported by Levine, Stephan, Krehbiel and Berenson's textbook Statistics for Managers Using Microsoft ® Excel. The analysis identified a significant difference in seven out of the seventy-eight aspects, in the responses from the customers' perceptions versus the perceptions of the OEM's managers. The analysis also provided a base for the CSI. The combination of these aspects and the CSI exposed five KPAs which need to be improved by the service provider to meet the customers' demands. Improvement of the exposed five KPAs will assist to develop a meaningful relationship for both the customer and the service provider. This study recommended that the OEM develops an action plan based on the climate survey that was done in 2008 in the company and that the OEM improves the communication to the customers related to the OEM remuneration strategy. Furthermore, it was recommended that the importance of the information provided is emphasised by changing the reporting lines, that the defects with regard to the service exchange components' repairs are reported according to the ISO9001 system. A further recommendation is that the benefits to the customer to promote the OEM's service contracts should be communicated to the customer. Lastly, training to the OEM's managers to manage a service level agreement (SLA) successfully was recommended. / Thesis (M.B.A.)--North-West University, Potchefstroom Campus, 2009.

Thesis (MEng)--Stellenbosch University, 2015. / ENGLISH ABSTRACT: Numerous problems with product quality and time-to-market launches can be traced back to the management of the product lifecycle. This research assignment provides insight into how an integrated value proposition design framework can address these issues by shifting the focus of product lifecycle management from being product-centric to being customer-centric. This framework combines tools, methods and processes from a variety of disciplines such as Systems Engineering, Marketing, Project Management, and Financial Management. The application of the framework during the product lifecycle management process is that of a planning and communication tool to ensure integration between multifunctional teams to increase customer value proposition quality and decrease product time to market. This research assignment was implemented in a new product development case study within a leading Telecommunications company in South Africa. / AFRIKAANSE OPSOMMING: Die bestuur van ‘n produk se lewensiklus veroorsaak verskeie probleme wat gepaard gaan met die kwaliteit van produkte en die verlengde tydperk wat dit neem om produkte aan die mark bekend te stel. Hierdie navorsingswerk verduidelik hoe die geïntegreerde waarde-stelling raamwerk die probleme met betrekking tot die bestuur van produkte se lewensiklusse aanspreek. Die raamwerk verskuif die fokus van die bestuur van ‘n produk se lewensiklus, wat produk-gesentreerd is, na ‘n kliënt-gesentreerde fokus. Die raamwerk maak gebruik van tegnieke, metodes en prosesse verkry uit die dissiplines van Sisteem Ingenieurswese, Bemarking, Projek bestuur en Finansiële bestuur. Die toepassing van die raamwerk verbeter die bestuur van ‘n produk se lewensiklus deur beplanning en kommunikasie te fassiliteer tussen multi-funksionele spanne. Genoemde raamwerk bevorder die samewerking tussen multi-funksionele spanne, verbeter die waarde-stellings aan kliënte, verhoog die kwaliteit van produkte en verkort die tydperk van produk bekendstelling aan die mark. Bogenoemde navorsingswerk is geïmplementeer in ‘n vooraanstaande Telekommunikasie maatskapy in Suid-Afrika, op ‘n nuwe produkontwikkeling gevallestudie.

A capacidade de o marketing mensurar e comunicar o valor de suas atividades e investimentos tem sido uma das prioridades de pesquisa na área nos últimos anos. Para atingir esse objetivo, a capacidade de mensurar adequadamente os ativos de marketing, como o Customer Lifetime Value e, de forma agregada, o Customer Equity, torna-se essencial, pois esses ativos são considerados os elementos capazes de traduzir em valores monetários o resultado dos diversos investimentos realizados pela área de marketing. Diante da mensuração desses valores, é possível o planejamento e a realização de ações mais precisas por parte dos profissionais de marketing. Sendo assim, no presente estudo objetivou-se construir e aplicar um modelo de estimação de Customer Lifetime Value no modo bottom-up (individual por cliente) em uma amostra de clientes de uma empresa do setor de serviços financeiros. O modelo bayesiano hierárquico aplicado, com três regressões estruturadas conforme o modelo Seemingly Unrelated Regressions (SUR) (ZELNER, 1971), foi construído a partir dos trabalhos de Kumar et al. (2008), Kumar e Shah (2009) e Cowles, Carlin e Connet (1996). Os resultados evidenciaram (1) que o modelo foi capaz de estimar com consistência o valor futuro de 84% dos clientes analisados; (2) que esse valor estimado traduz o potencial de rentabilidade que pode ser esperado futuramente para cada cliente; (3) que a base de clientes pode ser segmentada a partir do Customer Lifetime Value. Diante do conhecimento do valor futuro de cada cliente, se vislumbrou possibilidades de ações que tragam melhorias para gestão de clientes tradicionalmente utilizada, principalmente no que diz respeito à alocação dos recursos de marketing. / The marketing capacity to measure and to communicate the value resultant of its activities and investments has been one of the area top research priorities in the last few years. In order to achieve this objective, the capacity to appropriately measure the marketing assets, as the Customer Lifetime Value and, in aggregate form, the Customer Equity, has been pointed out as essential, because this assets are considered elements capable of translating the result of marketing investments into monetary values. Given the measurement of those values, marketers become able to plan and take more precise actions. Thus, the objective of present study is to build and test a bottom-up Customer Lifetime Value estimation model to a sample of customers from a company of finance services. The bayesian hierarchical model, composed of three regressions structured according to the Seemingly Unrelated Regressions (SUR) model (ZELNER, 1971), was built from the works of Kumar et al. (2008), Kumar and Shah (2009) and Cowles, Carlin and Connet (1996). The results show that (1) the model was capable to estimate with consistency the future value of 84% of the analyzed customers; (2) this estimated future values indicate the potential profitability of each customer; (3) the customer base can be segmented from the Customer Lifetime Value. Given the knowledge obtained about the future value of each customer and the segments established, several actions that can bring improvements to the traditional way of managing customers were suggested, in special those concerning marketing resource allocation.

A capacidade de o marketing mensurar e comunicar o valor de suas atividades e investimentos tem sido uma das prioridades de pesquisa na área nos últimos anos. Para atingir esse objetivo, a capacidade de mensurar adequadamente os ativos de marketing, como o Customer Lifetime Value e, de forma agregada, o Customer Equity, torna-se essencial, pois esses ativos são considerados os elementos capazes de traduzir em valores monetários o resultado dos diversos investimentos realizados pela área de marketing. Diante da mensuração desses valores, é possível o planejamento e a realização de ações mais precisas por parte dos profissionais de marketing. Sendo assim, no presente estudo objetivou-se construir e aplicar um modelo de estimação de Customer Lifetime Value no modo bottom-up (individual por cliente) em uma amostra de clientes de uma empresa do setor de serviços financeiros. O modelo bayesiano hierárquico aplicado, com três regressões estruturadas conforme o modelo Seemingly Unrelated Regressions (SUR) (ZELNER, 1971), foi construído a partir dos trabalhos de Kumar et al. (2008), Kumar e Shah (2009) e Cowles, Carlin e Connet (1996). Os resultados evidenciaram (1) que o modelo foi capaz de estimar com consistência o valor futuro de 84% dos clientes analisados; (2) que esse valor estimado traduz o potencial de rentabilidade que pode ser esperado futuramente para cada cliente; (3) que a base de clientes pode ser segmentada a partir do Customer Lifetime Value. Diante do conhecimento do valor futuro de cada cliente, se vislumbrou possibilidades de ações que tragam melhorias para gestão de clientes tradicionalmente utilizada, principalmente no que diz respeito à alocação dos recursos de marketing. / The marketing capacity to measure and to communicate the value resultant of its activities and investments has been one of the area top research priorities in the last few years. In order to achieve this objective, the capacity to appropriately measure the marketing assets, as the Customer Lifetime Value and, in aggregate form, the Customer Equity, has been pointed out as essential, because this assets are considered elements capable of translating the result of marketing investments into monetary values. Given the measurement of those values, marketers become able to plan and take more precise actions. Thus, the objective of present study is to build and test a bottom-up Customer Lifetime Value estimation model to a sample of customers from a company of finance services. The bayesian hierarchical model, composed of three regressions structured according to the Seemingly Unrelated Regressions (SUR) model (ZELNER, 1971), was built from the works of Kumar et al. (2008), Kumar and Shah (2009) and Cowles, Carlin and Connet (1996). The results show that (1) the model was capable to estimate with consistency the future value of 84% of the analyzed customers; (2) this estimated future values indicate the potential profitability of each customer; (3) the customer base can be segmented from the Customer Lifetime Value. Given the knowledge obtained about the future value of each customer and the segments established, several actions that can bring improvements to the traditional way of managing customers were suggested, in special those concerning marketing resource allocation.

A capacidade de o marketing mensurar e comunicar o valor de suas atividades e investimentos tem sido uma das prioridades de pesquisa na área nos últimos anos. Para atingir esse objetivo, a capacidade de mensurar adequadamente os ativos de marketing, como o Customer Lifetime Value e, de forma agregada, o Customer Equity, torna-se essencial, pois esses ativos são considerados os elementos capazes de traduzir em valores monetários o resultado dos diversos investimentos realizados pela área de marketing. Diante da mensuração desses valores, é possível o planejamento e a realização de ações mais precisas por parte dos profissionais de marketing. Sendo assim, no presente estudo objetivou-se construir e aplicar um modelo de estimação de Customer Lifetime Value no modo bottom-up (individual por cliente) em uma amostra de clientes de uma empresa do setor de serviços financeiros. O modelo bayesiano hierárquico aplicado, com três regressões estruturadas conforme o modelo Seemingly Unrelated Regressions (SUR) (ZELNER, 1971), foi construído a partir dos trabalhos de Kumar et al. (2008), Kumar e Shah (2009) e Cowles, Carlin e Connet (1996). Os resultados evidenciaram (1) que o modelo foi capaz de estimar com consistência o valor futuro de 84% dos clientes analisados; (2) que esse valor estimado traduz o potencial de rentabilidade que pode ser esperado futuramente para cada cliente; (3) que a base de clientes pode ser segmentada a partir do Customer Lifetime Value. Diante do conhecimento do valor futuro de cada cliente, se vislumbrou possibilidades de ações que tragam melhorias para gestão de clientes tradicionalmente utilizada, principalmente no que diz respeito à alocação dos recursos de marketing. / The marketing capacity to measure and to communicate the value resultant of its activities and investments has been one of the area top research priorities in the last few years. In order to achieve this objective, the capacity to appropriately measure the marketing assets, as the Customer Lifetime Value and, in aggregate form, the Customer Equity, has been pointed out as essential, because this assets are considered elements capable of translating the result of marketing investments into monetary values. Given the measurement of those values, marketers become able to plan and take more precise actions. Thus, the objective of present study is to build and test a bottom-up Customer Lifetime Value estimation model to a sample of customers from a company of finance services. The bayesian hierarchical model, composed of three regressions structured according to the Seemingly Unrelated Regressions (SUR) model (ZELNER, 1971), was built from the works of Kumar et al. (2008), Kumar and Shah (2009) and Cowles, Carlin and Connet (1996). The results show that (1) the model was capable to estimate with consistency the future value of 84% of the analyzed customers; (2) this estimated future values indicate the potential profitability of each customer; (3) the customer base can be segmented from the Customer Lifetime Value. Given the knowledge obtained about the future value of each customer and the segments established, several actions that can bring improvements to the traditional way of managing customers were suggested, in special those concerning marketing resource allocation.

Diploma thesis deals with customers' developing potential of language school. The theoretical section specifies the business and strategy of small and medium-sized enterprises in the Czech Republic. It describes customer relationship management, its approaches and concepts related to this issue. Additionally it analyzes customer satisfaction and loyalty. It dedicates to customer value and finally adds other possible indicators of customers' developing potential. In the practical part there is analyzed customer base of the language school Tandem. There exist two types of analysis. One of them is based on the internal resources of the company and the other one is developed based on feedback received from the survey of customer satisfaction. The analysis suggests new ideas for better use of potential of existing and future customers.