AI in Marketing, Sales and Service

AI in Marketing, Sales and Service
Author: Peter Gentsch
Publisher: Springer
Total Pages: 271
Release: 2018-10-22
Genre: Business & Economics
ISBN: 3319899570
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AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors.

AI Strategy for Sales and Marketing

AI Strategy for Sales and Marketing
Author: Katie King
Publisher: Kogan Page Publishers
Total Pages: 289
Release: 2022-01-03
Genre: Business & Economics
ISBN: 1398602019
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Marketing and sales prioritize AI and machine learning more than any other business department, yet often struggle with how to scale and strategize the opportunities they present. AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust. Featuring original research and interviews with leading practitioners, it also contains global case studies from organizations in a range of sectors, including Samsung, PwC, Rolls Royce, Deloitte and Hilton, with insights into the various stages of their adoption journeys. Written by a recognized industry expert, it is an invaluable resource for those wanting to benefit from using AI strategically in marketing, sales and CX.

Using Artificial Intelligence in Marketing

Using Artificial Intelligence in Marketing
Author: Katie King
Publisher: Kogan Page Publishers
Total Pages: 225
Release: 2019-02-03
Genre: Business & Economics
ISBN: 0749483407
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Artificial intelligence (AI) is paving the way for the future of marketing and business transformation, yet many organizations struggle to know exactly how and where to integrate it. This book is the ultimate guide to embracing the opportunity that AI can bring for your marketing. With AI forecasted to boost global GDP by 14% by 2030, an efficient and sustainable AI marketing strategy is now essential to avoid losing the competitive edge. Using Artificial Intelligence in Marketing provides the definitive, practical framework needed for marketers to identify, apply and embrace the opportunity to maximize the results and business advancement that AI can bring. Streamlining efficiencies into every business practice, AI automates simpler, repetitive tasks with unrivalled accuracy, allowing sales and marketing teams to return their attention to where human interaction is most valuable: strategy, creativity and personal connection. Using Artificial Intelligence in Marketing outlines key marketing benefits such as accurate market research samples, immediate big data insights and brand-safe content creation, right through to the on-demand customer service that is now expected 24/7. It also explores the inevitable myths, concerns and ethical questions that can arise from the large-scale adoption of AI. This book is an essential read for every 21st century marketer.

Machine Learning and Artificial Intelligence in Marketing and Sales

Machine Learning and Artificial Intelligence in Marketing and Sales
Author: Niladri Syam
Publisher: Emerald Group Publishing
Total Pages: 177
Release: 2021-03-10
Genre: Business & Economics
ISBN: 1800438826
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Machine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming.

AI for Marketing and Product Innovation

AI for Marketing and Product Innovation
Author: A. K. Pradeep
Publisher: John Wiley & Sons
Total Pages: 272
Release: 2018-12-06
Genre: Business & Economics
ISBN: 1119484065
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Get on board the next massive marketing revolution AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML)—twin technologies that stand poised to revolutionize the way we sell. The future is here, and we are in the thick of it; AI and ML are already in our lives every day, whether we know it or not. The technology continues to evolve and grow, but the capabilities that make these tools world-changing for marketers are already here—whether we use them or not. This book helps you lean into the curve and take advantage of AI’s unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the “what” to show you the “how”: How do we use AI and ML in ways that speak to the human spirit? How to we translate cold technological innovation into creative tools that forge deep human connections? Written by a team of experts at the intersection of neuroscience, technology, and marketing, this book shows you the ins and outs of these groundbreaking technological tools. Understand AI and ML technology in layman’s terms Harness the twin technologies unparalleled power to transform marketing Learn which skills and resources you need to use AI and ML effectively Employ AI and ML in ways that resonate meaningfully with customers Learn practical examples of how to reinvest product innovation, brand building, targeted marketing and media measurement to connect with people and enhance ROI Discover the true impact of AI and ML from real-world examples, and learn the thinking, best practices, and metrics you need to capture this lightning and take the next massive leap in the evolution of customer connection. AI for Marketing and Product Innovation shows you everything you need to know to get on board.

Artificial Intelligence for Marketing

Artificial Intelligence for Marketing
Author: Jim Sterne
Publisher: John Wiley & Sons
Total Pages: 373
Release: 2017-08-14
Genre: Business & Economics
ISBN: 1119406331
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A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.

Modern Marketing Using AI

Modern Marketing Using AI
Author: Malay A. Upadhyay
Publisher: BPB Publications
Total Pages: 368
Release: 2021-12-23
Genre: Business & Economics
ISBN: 9391030211
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Your guide to becoming a marketing guru and supercharge your brand with modern technologies. KEY FEATURES ● Industry-led best practices and real-world examples of brand successes and failures. ● Leading AI tools, guidelines, and templates for Marketing, Sales, and Customer Success. ● Advanced forms of marketing such as Consumer Neuroscience, Subliminal Marketing, and Virtual Advertising. DESCRIPTION How can some businesses survive centuries while hundreds collapse every year - from micro-enterprises to global brands? A brand's journey to grow and maintain loyal supporters is one of the timeless foundations for every company that its customer teams need to know. 'Modern Marketing Using AI' covers it all by taking a customer perspective to look at best practices, industry-leading strategies, technologies, and their timing to maximise the value of a brand. The book starts with an overview of a brand journey, how marketing, sales, and customer success work at each stage, and why the usage of AI in this field has become a need. It then dives into each stage, teaching us how to validate a product, define the brand, expand its visibility, and turn customers into fans with AI-led marketing techniques for channels, accounts, referrals, affiliates, influencers, social media and much more. At every stage, it highlights brand stories and how operational automation and insights can be leveraged for marketing. We conclude with guidelines on how marketers can prepare for AI and even estimate its impact on their jobs. You will walk away with a keen awareness of how to drive your organizational growth and gain a professional advantage by being ready for the era of artificial intelligence. WHAT YOU WILL LEARN ● Learn how Marketing, Sales, and Customer Success work together to define a brand and grow its customer base. ● Learn how to create brand recognition, credibility, engagement, receptivity, and resonance to optimize brand equity. ● Create a robust marketing plan and perfectly time the different marketing initiatives, from digital channels to neuroscience. ● Learn when, how, and what AI-enabled tools to deploy in marketing, sales, and customer success operations. WHO THIS BOOK IS FOR This book is aimed at entrepreneurs and marketing professionals, as well as educators and students who want to learn how to create a successful brand leveraging modern technologies. Readers are only required to have a rudimentary understanding of marketing, sales, and customer success. TABLE OF CONTENTS Section 1: Understanding the Brand Journey 1. The Importance of Brand Equity 2. A Typical Brand Journey 3. The Convergence of Marketing, Sales and Customer Success 4. AI and the Future of Marketing Section 2: Attracting Customers 5. Validating Your Brand and Product 6. Brand Identity 7. Brand Awareness – Web Presence 8. Brand Awareness – Social Media 9. Brand Awareness – Online Ads Section 3: Winning the Customers 10. Operational Alignment and Automation 11. Brand Credibility 12. Brand Engagement 13. Selling Strategies Section 4: Turning the Customers into Fans 14. Customer Onboarding 15. Brand Receptivity 16. Brand Resonance 17. How to Prepare for the AI Era

Adoption and Implementation of AI in Customer Relationship Management

Adoption and Implementation of AI in Customer Relationship Management
Author: Singh, Surabhi
Publisher: IGI Global
Total Pages: 289
Release: 2021-10-15
Genre: Business & Economics
ISBN: 1799879615
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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.

AI - The New Intelligence in Sales

AI - The New Intelligence in Sales
Author: Livia Rainsberger
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN: 9783658382520
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This book provides a concise overview of the potential uses of artificial intelligence in sales: AI can find potential prospects, generate leads, identify customer needs, calculate buying probabilities - and much more. But what is behind terms like Sales Automation, Sales AI Analytics, Sales Enablement, Conversational AI, Lead Intelligence, Dynamic Pricing or Sales Management Intelligence? Where is the potential for sales organizations? And how will AI change sales? The author presents different AI applications and describes their possibilities as well as limitations, so that it becomes clear how AI can support sales without making humans superfluous. Executives in marketing and sales, especially in medium-sized companies, will receive answers to the most important questions and additionally concrete recommendations for the implementation of AI in their own companies. Content overview · Artificial intelligence (AI) in sales context · Advantages and benefits of AI in sales · How AI supports the sales process · AI tools and their possible applications · How AI is changing sales The author Livia Rainsberger is focusing in her consulting work on the optimization and digitalization of sales organizations. With the WISSENCE SALES INDEX, she supports companies in successfully mastering the digital transformation in sales. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Artificial Intelligence in Customer Service

Artificial Intelligence in Customer Service
Author: Jagdish N. Sheth
Publisher: Springer Nature
Total Pages: 315
Release: 2023-08-17
Genre: Technology & Engineering
ISBN: 3031338987
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This edited volume elucidates how artificial intelligence (AI) can enable customer service to achieve higher customer engagement, superior user experiences, and increased well-being among customers and employees. As customer expectations dictate 24/7 availability from service departments and market pressures call for lower costs with higher efficiency, businesses have accepted that AI is vital in maintaining customer satisfaction. Yet, firms face tough challenges in choosing the right tool, optimizing integration, and striking the appropriate balance between AI systems and human efforts. In this context, chapters in this book capture the latest advancements in AI-enabled customer service through real-world examples. This volume offers a global perspective on this contemporary issue, covering topics such as the use of AI in enhancing customer well-being, data and technology integration, and customer engagement.