Adoption And Implementation Of Ai In Customer Relationship Management
Adoption And Implementation Of Ai In Customer Relationship Management Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Adoption And Implementation Of Ai In Customer Relationship Management book. This book definitely worth reading, it is an incredibly well-written.
Adoption and Implementation of AI in Customer Relationship Management by Singh, Surabhi Pdf
Integration of artificial intelligence (AI) into customer relationship management (CRM) automates the sales, marketing, and services in organizations. An AI-powered CRM is capable of learning from past decisions and historical patterns to score the best leads for sales. AI will also be able to predict future customer behavior. These tactics lead to better and more effective marketing strategies and increases the scope of customer services, which allow businesses to build healthier relationships with their consumer base. Adoption and Implementation of AI in Customer Relationship Management is a critical reference source that informs readers about the transformations that AI-powered CRM can bring to organizations in order to build better services that create more productive relationships. This book uses the experience of past decisions and historical patterns to discuss the ways in which AI and CRM lead to better analytics and better decisions. Discussing topics such as personalization, quality of services, and CRM in the context of diverse industries, this book is an important resource for marketers, brand managers, IT specialists, sales specialists, managers, students, researchers, professors, academicians, and stakeholders.
Artificial Intelligence for Customer Relationship Management by Boris Galitsky Pdf
This research monograph brings AI to the field of Customer Relationship Management (CRM) to make a customer experience with a product or service smart and enjoyable. AI is here to help customers to get a refund for a canceled flight, unfreeze a banking account or get a health test result. Today, CRM has evolved from storing and analyzing customers’ data to predicting and understanding their behavior by putting a CRM system in a customers’ shoes. Hence advanced reasoning with learning from small data, about customers’ attitudes, introspection, reading between the lines of customer communication and explainability need to come into play. Artificial Intelligence for Customer Relationship Management leverages a number of Natural Language Processing (NLP), Machine Learning (ML), simulation and reasoning techniques to enable CRM with intelligence. An effective and robust CRM needs to be able to chat with customers, providing desired information, completing their transactions and resolving their problems. It introduces a systematic means of ascertaining a customers’ frame of mind, their intents and attitudes to determine when to provide a thorough answer, a recommendation, an explanation, a proper argument, timely advice and promotion or compensation. The author employs a spectrum of ML methods, from deterministic to statistical to deep, to predict customer behavior and anticipate possible complaints, assuring customer retention efficiently. Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field together with AI and IT professionals.
Artificial Intelligence for Marketing Management by Park Thaichon,Sara Quach Pdf
Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing. This book also explores the dark side of AI in marketing management and discusses ethics and transparency of automated decision-making in AI applications, data privacy, cyber security issues, and biases in various facets of marketing. Emerging applications of AI such as DeepFakes which use deep learning technology could increase risks of manipulation and deception. Hence, apart from leveraging AI capabilities and advantages, the book cautions the need for prevention strategies to deal with potential issues that could arise from the adoption of AI in marketing management. This book will provide practical insights into the role of AI in marketing management. It will be a useful reference for those researching marketing and marketing professionals.
Social Customer Relationship Management (Social-CRM) in the Era of Web 4.0 by Ammari, Nedra Bahri Pdf
The advent of Web 2.0 has led to a rebalancing of power between the customer and the company through the consumer's voice about the brand and referral behavior via electronic word of mouth. Customer opinions within the virtual brand communities can have a vast impact on a company’s sales and image. It is crucial for companies to promote and use customer contributions in order to enhance their brand image, retain customers, and develop their marketing strategy. Social Customer Relationship Management (Social-CRM) in the Era of Web 4.0 provides relevant theoretical frameworks and the latest results of empirical research on the strategic role of marketing 2.0, digital customer experience, and social customer relationship management on social networks. Covering a range of topics such as disruptive marketing, artificial intelligence, and customer behavior, this reference work is ideal for marketers, IT practitioners, CRM specialists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation by Sujeet K. Sharma,Yogesh K. Dwivedi,Bhimaraya Metri,Nripendra P. Rana Pdf
This two-volume set of IFIP AICT 617 and 618 constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference "Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation" on Transfer and Diffusion of IT, TDIT 2020, held in Tiruchirappalli, India, in December 2020. The 86 revised full papers and 36 short papers presented were carefully reviewed and selected from 224 submissions. The papers focus on the re-imagination of diffusion and adoption of emerging technologies. They are organized in the following parts: Part I: artificial intelligence and autonomous systems; big data and analytics; blockchain; diffusion and adoption technology; emerging technologies in e-Governance; emerging technologies in consumer decision making and choice; fin-tech applications; healthcare information technology; and Internet of Things Part II: information technology and disaster management; adoption of mobile and platform-based applications; smart cities and digital government; social media; and diffusion of information technology and systems
Artificial Intelligence as an Additional Tool in Customer Relationship Management and the Impact after the COVID-19 Crisis by Leonard Rupperti Pdf
Masterarbeit aus dem Fachbereich Informatik - Künstliche Intelligenz, , Sprache: Deutsch, Abstract: The aim of the research of this present work is to answer which criteria make an AI-driven CRM successful, what opportunities and challenges there are, and how the general population assesses this topic. Furthermore, it is important to see that the corona pandemic is having an impact on the use of AI. For this purpose, the following two research questions were asked. How does AI strengthen the customer relationship CRM? Will the Corona pandemic accelerate the use of AI? To answer the research questions, a quantitative study on people's current opinions and attitudes towards AI and how it will change as a part of the outbreak of the pandemic was conducted. Specifically, the study deals with artificial intelligence in customer service, the change of AI in companies due to Covid-19 and how people generally view the topic of AI. The participants surveyed were anonymous, of different age groups, occupations, and origins, as this topic affects everyone today and it is important to pay attention to the opinion of the general population. The targeted use of artificial intelligence in customer relationship management to make the work of companies and their employees more efficient and of higher quality, also about the customer, is on the rise. More and more sales are generated by this technology and more and more AI-controlled tools are being developed which make customer management more successful and thus intensify the relationship between customers and companies. Thus, it is necessary to understand such technologies and how they are designed, but also what opinion the general society has on this rather revolutionary technology.
Artificial Intelligence for Customer Relationship Management by Boris Galitsky Pdf
The second volume of this research monograph describes a number of applications of Artificial Intelligence in the field of Customer Relationship Management with the focus of solving customer problems. We design a system that tries to understand the customer complaint, his mood, and what can be done to resolve an issue with the product or service. To solve a customer problem efficiently, we maintain a dialogue with the customer so that the problem can be clarified and multiple ways to fix it can be sought. We introduce dialogue management based on discourse analysis: a systematic linguistic way to handle the thought process of the author of the content to be delivered. We analyze user sentiments and personal traits to tailor dialogue management to individual customers. We also design a number of dialogue scenarios for CRM with replies following certain patterns and propose virtual and social dialogues for various modalities of communication with a customer. After we learn to detect fake content, deception and hypocrisy, we examine the domain of customer complaints. We simulate mental states, attitudes and emotions of a complainant and try to predict his behavior. Having suggested graph-based formal representations of complaint scenarios, we machine-learn them to identify the best action the customer support organization can chose to retain the complainant as a customer.
AI-Driven Marketing Research and Data Analytics by Masengu, Reason,Chiwaridzo, Option Takunda,Dube, Mercy,Ruzive, Benson Pdf
The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.
The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0 by Irfan, Mohammad,Elmogy, Mohammed,Shabri Abd. Majid, M.,El-Sappagh, Shaker Pdf
In the dynamic and ever-changing financial landscape, the seamless integration of artificial intelligence (AI) and machine learning (ML) has presented unprecedented challenges for the banking and finance industry. As we embrace the era of Industry 5.0, financial institutions find themselves confronted with intricate decisions pertaining to investments, macroeconomic analysis, and credit evaluation, necessitating innovative technologies to navigate this complexity. Additionally, the mounting volume of financial transactions calls for efficient data processing and analysis. Considering these pressing concerns, scholars, academicians, and industry practitioners are eagerly seeking comprehensive insights into the transformative potential of AI and ML, specifically in bolstering resilience, fostering sustainable development, and adopting human-centric approaches within the financial sector. Offering a compelling solution to these critical challenges, The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0, edited by esteemed scholars Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, and Shaker El-Sappagh, embark on an in-depth exploration of the multifaceted functions and applications of AI and ML algorithms in the realm of finance. With a keen focus on Industry 5.0 principles such as resilience, human centricity, and sustainable development, this comprehensive compendium presents a collection of groundbreaking research papers that unveil the remarkable potential of AI/ML technologies in revolutionizing the financial services industry. By catering to a diverse audience comprising researchers, academicians, industrialists, investors, and regulatory bodies, this book actively invites contributions from industry practitioners and scholars, facilitating ongoing discussions on the efficacy of ML algorithms in efficiently processing vast financial data. As the financial landscape charts an ambitious course into Industry 5.0, the book emerges as an indispensable resource, empowering the industry with transformative advancements that will indelibly shape the future of finance.
Artificial Intelligence along the Customer Journey by Ada Maria Barone,Emanuela Stagno Pdf
The development of several AI solutions has revolutionized the way in which consumers behave. Serving as a guide to the role that AI plays on different aspects of consumers’ life, this book provides a comprehensive understanding of the main artificial intelligence (AI) solutions available in the market. In particular, the authors adopt a customer experience approach to investigate how different AI technologies play a role at different stages of the customer journey (e.g., from pre-purchase to post-purchase decisions). Covering a range of technologies, such as augmented reality, voice assistants, chatbots and robots, readers will be able to learn which strategies and AI solutions are more effective at different stages of the customer journey.
Handbook of Big Data Research Methods by Shahriar Akter,Samuel Fosso Wamba Pdf
This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.
Artificial Intelligence Relationship Influence Questions by Johnny Ch Lok Pdf
Can (AI) be applied to any organization customer service department?Artificial intelligence(AI) comprises a set of technologies that use natural language processing, machine learning, knowledge graphs, and other tools to answer questions, discover insights and provide recommendations. Computer systems can use (AI) hypothesize and formulate possible answers based on available evidence can be trained through the ingestion of vast amounts of content, and automatically adapt and learn from (AI) self mistakes and failures. So, any business organizations (customer service departments) can provide efficient and effective customer relationship management of excellent customer service quality if which applied (AI) technology system. The different type of (AI) systems include: (AI) system platforms, machine learning (AI) based data preparation and enrichment tools, machine vision/image recognition, voice speech recognition, text analysis and natural language processing, bots, e.g. face book website and virtual digital assistance solutions, social media pattern analysis, sentiment analysis, advanced numerical analysis (e.g. IOT streaming, machine logs), supporting technologies, knowledge base dialog management, Q&A processing etc. different (AI) technology system customer relationship management (CRM) tools.(AI) (CRM) of activity can include these categories, such as: corporate marketing, marketing operation, field marketing, customer support, digital commerce, customer analytics, customer influenced product or service design, product or service pricing, finance information, presentation, customer billing, inventory, logistics and fulfilment support, partner management etc. different CRM tools. (AI) technology of CRM has been carrying on plan different stages to achieve CRM personal assistant tool for businesses. The stages are such as, in the beginning stage of (AI) projects in place, implement now, pilot phase next year in the final stage of (AI) customer relationship management tools are foreseeable future. So, this CRM technology has been improved to plan in different stages every year to prepare to achieve full capacity of CRM service quality for businesses to use in the future.Hence, how to develop an estimate prediction of the economic impact (AI) technologies could have CRM activities, which depends on gathering macroeconomic information on business revenue and the basic marketing of business revenue and the basic markup of business expenses by major functions ( customer support, marketing and sales, production etc.)An economic impact model that can gather data together and forecast the results how (AI) artificial intelligence technology brings (CRM) customer relationship management benefits to businesses, e.g. surveys investigation includes IT spending by sample countries, GDP and population estimates and forecasts, revenue per employee and ratios of IT spend to GDP. Surveys ( questionnaire questions) of forecast results are influenced by (AI) impact can include: results are projected from surveys and rely on estimates are made by respondents on the expected financial improvements in categories of (AI) -assisted customer relationship management activities. The forecast assumes that these estimates are correct; financial estimates are based on estimates of "first year" improvement from full (AI) implementation; forecasts are from planning to implement any artificial intelligence of customer relationship management (CRM) projects, the improvement forecast is of categories of activity, e.g. corporate marketing, digital Al commerce, and customer analytics. They are not estimates of ROI for the (AI) software. They rely on conservative estimates to which each of these entities might affect company revenue, expenses or productivity. They also rely on estimates of the penetration of software in customer relationship management activities .
Managing Customer Relationships Using Customer Care Techniques by Anna Brzozowska,Stanisław Brzeziński,Arnold Pabian,Barbara Pabian Pdf
In today’s global business environment, Customer Relationship Management (CRM) has become key to the success of many international enterprises. Managing Customer Relationships Using Customer Care Techniques: Strategy Development of an International Enterprise offers a comprehensive analysis of this crucial business aspect, focusing on how companies can effectively manage their customer relationships in the context of global expansion. This book stands out with its unique approach to CRM, blending theory with practice and providing readers with a deep understanding of how CRM influences the strategies of international enterprises. The book is divided into four main parts, each focusing on a different aspect of customer relationship management. The first part focuses on creating strategies in the context of customer relationships in international enterprises, the second part discusses the essence of the CRM concept in companies, the third part delves into the strategy of a global enterprise from the customer relationship perspective, and the fourth part centers on the evaluation and optimization of customer care strategy in modern business. Key Features: • In-depth analysis of the CRM concept in the context of international business. • Discussion on the evolution of the CRM idea over the years. • Introduction to integrated customer relationship management systems in global enterprises. • Analysis of the impact of social media on CRM. • Practical insights on measuring the effectiveness of customer care activities. Managing Customer Relationships Using Customer Care Techniques: Strategy Development of an International Enterprise is a must-read for managers, business consultants, business students, and anyone wanting to understand how to effectively manage customer relationships in an international business environment.
Revolutionizing Customer-Centric Banking Through ICT by Singh, Dharmendra,Malik, Garima,Bhatnagar, Swati Pdf
Many developing countries face a significant challenge: their population needs access to essential financial services. This financial exclusion limits their ability to save, invest, and participate fully in the economy. Despite the rapid advancements in information and communication technology (ICT), millions of people remain underserved by traditional banking systems. Revolutionizing Customer-Centric Banking Through ICT addresses this critical issue by exploring how ICT innovations can revolutionize financial services in developing countries. By offering a comprehensive review of digital transformation in banking, the book highlights the potential of mobile banking, digital payment systems, and blockchain technology to bridge the financial inclusion gap. It showcases real-world examples and cutting-edge strategies, motivating entrepreneurs, financial institutions, and policymakers to embrace technology-driven financial solutions. The book also aims to educate readers about the transformative impact of ICT on financial services, empowering them to make informed decisions to enhance their economic well-being.