What Are Marketing Information And Artificial Intelligence Customer Psychological Predictive

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What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive

Johnny Ch Lok
What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive Book PDF

Author : Johnny Ch Lok
Publisher : Independently Published
Page : 254 pages
File Size : 50,5 Mb
Release : 2019-01-04
Category : Electronic
ISBN : 179317184X

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What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive by Johnny Ch Lok Pdf

(AI) digital data gather technology predicts food consumer behavior's main barriersWhat are the main barriers to food industry? When the food manufacturer applies (AI) big data gather technology to predict food consumer behavior? The barriers include that the food manufacturer / provider needs to decide whether when the right time is applied to the right (AI) digital big data prediction tool channel to find the right food consumers to be chose to full food consumption satisfactory questionnaires, how to gather multi-class food consumption classifiers on real-world food consumers transactional data from the food sale domain consistently to show the critical numbers of different kinds of food items at which the predictive performance most accurate? So, any food manufacturer / provider's advanced in (AI) digital data gather warehousing and management technologies can provide that opportunities for food business to enhance long term relationship with the food providers' clients. However, food industry's (AI) digital data gather aims to improve food customer product targeting, increase food customer loyalty and food purchase probability to the food supplier. To effective identify, understand and satisfy the needs of their food customers, the food suppliers need to develop the right (AI) digital questionnaire questions and find the right food customers to fill every right questions from every digital questionnaire at the right time through the right channel. Above of all these, they will be the barriers when one food supplier expects its (AI) digital data gather questionnaires which can conclude the most accurate prediction concerns any kinds of consumer food product choices. So, such as (AI) digital data prediction model, it is needed to incorporate into the food market segmentation, food customer targeting, and food challenging decisions with the goal of maximizing the total food customer lifetime. For example, (AI) big data gather transaction data is reasonable and accurate for building predictive models. Transaction data can be electronically collected and readily made available for data mining in lot quantity at minimum extra costs.Suggestion to apply (AI) prototypes of food customer profiles method to predict food customer behavioral changes. Prototypes of food customer profiles mean to be extracted from the discovered bins and multi-class classifies models are built using those prototypes. The learned models can than be used to predict the class of food customer profiles ( e.g. restaurants, school canteens, supermarkets etc. food suppliers) based on their food purchases. The approach is validated on the case study of a food retail and food service company operating in food and beverages market.So, a food customer profile, it is a description (AI) data gather tool will record every of food customer using available information, which help in understanding their background and food consumption behavior. (AI) data gather tool can well develop every food customer profile, every food customer data is essential in food market analysis as they aid food suppliers in saving time and money by highlighting the real potential food consumers whose needs are to be met rather a range of individuals.So, (AI) data gather tool can record every food consumer profile and every can be factual or behavioral food consumption. A factual food customer profile consists of a set of characteristics for (AI) big data gather record, e.g. demographic information, such as food customer name, gender, birth date, when a behavioral food customer profile consists of what the food customer is actually doing and is usually derived from (AI) digital transactional data gather record.

Marketing Information and Artificial Intelligence

Johnny Ch LOK
Marketing Information and Artificial Intelligence Book PDF

Author : Johnny Ch LOK
Publisher : Unknown
Page : 253 pages
File Size : 47,9 Mb
Release : 2019-01-15
Category : Electronic
ISBN : 1794161678

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Marketing Information and Artificial Intelligence by Johnny Ch LOK Pdf

Media economics research is in the sense that many different types of methods are used to answer research questions and investigate hypotheses. However, many economists accept to choose to apply any one of methods to predict media reader behavior, such as trend studies, financial analysis, econometrics and case studies.Trend studies compare and contrast data over a time series. In assessing media concentration. Most trend studies use annual data as the unit of analysis. Trend studies are useful, due to their descriptive nature and ease of presentation and they aid in analyzing the performance of media companies and industries, e.g. study of changes in newspaper pricing and subscription costs.Financial analysis is another common methodological tool used in media economics research. Financial analysis can take many different forms and use different types of data. The most common data include information derived from financial statements and the use of various types of financial ratio.Econometrics involves the use of statistical and mathematical models to verify and develop economic research questions, hypotheses and theory.Case studies represent another useful method in media economics research. Case studies are popular because they allow a researcher to gather different types of data as well as different methods. Case studies in media economics research tend to be very targeted and focused examinations.What are forces to influence media industry development? There four forces consist of technology, regulation, globalization and sociocultural can influence media industry development. I shall indicate why these forces will influence media industry change in order media industry businesses need to consider s below:Technology force: Because media industries are heavily dependent on technology for the creation, distribution and exhibition of various forms of media contents, changes in technology affect economic processes between and within the media industries. For example, many publishing book businesses choose to apply internet technology to help authors to publish electronic books sale. Due to it is popular to let online readers to study from internet, even they choose to pay visa card to buy electronic or paper books to read from internet sale channel. So, technology brings electronic book digital content and text and graphics digitally soon led to digital audio and video files to let authors to download their files to change to electronic books to publish to sell to electronic book readers to read from online channel. So, internet builds electronic book web sites to attract reading consumers to read from internet channel. They do not need to bring paper book to read. They only need to bring mobile phone or laptops to go to anywhere to read electronic books any time conveniently.

Is Marketing Information

Johnny Ch LOK
Is Marketing Information Book PDF

Author : Johnny Ch LOK
Publisher : Unknown
Page : 253 pages
File Size : 51,7 Mb
Release : 2019-01-03
Category : Electronic
ISBN : 1793108943

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Is Marketing Information by Johnny Ch LOK Pdf

Some economists indicate idea that seen central to the development of regional science at large and to economic geography and international trade theory. In this terms of economies of specialization increase returns to scale and in the case of regional science and economic geography, economies of localization and urbanization.The questions concern: Can choose the best business location to attract consumption growth performance? Does the best destination attract consumption growth?" Two cities attract trade from an intermediate town in the vicinity of the breaking point, approximately in direct proportion to the population of the two cities, and in inverse proportion to the squares of the distances of the intermediate town" ( Reggiani, 1998).It implies some economists believe that geographic location choice factor can influence consumption growth. It is possible due to the location has many people are living. So, it brings many business chance, or the location is one the country's main in economic development location, it can attract many travelers choose to go to the location to travel. So, it has many travelling clients to prefer to consumer.However, a smaller region can still attract consumption growth, if it had good transportation system. For example, a small region may not have its own university, but inhabitants may still have access to higher education. Elsewhere accessibility measures are also need in activity location models, where access ability is the way through which the quality of the transport system influences the land use.So, it seems although the regional land is small size and far from cities, but if it can have good transportation system to provide any people to travel the small size regional land from outside cities. It is possible to bring consumption growth. However, some economists believe that distance influence relations in economics and economic geography in two ways: first, natural resources are distributed unevenly across space and second, distance separates various activities from each other. They apply " law of demand" to support their reasons.In regional sciences, accessibility plays an important role for analyzing the distribution of economic cities and regional development. Within regional science, the attempt to predict and explain the distribution of economic activity has become known as economic geography. Research in economic geography attempt to answer the question: What forces cause geographic behavioral consumption? Some economists support the production function and into the interaction between transportation cost and plant level scale economies, this geographical factor will bring much geographical behavioral consumption. For example, accessibility of population is an indicator of market size for suppliers of products and services, whereas successful ability to GDP could be an indicator of the market size for suppliers of high level business services ( Spiekermannn and Wegener, 2007).However, some economists argue that market potential is not necessarily the actual market. For example, since a person can't make the same purchase at two different locations. Hence, they believe that is one person has make purchase in one location far from whose home. Then, if he/she find another location which is close to whose home. The, he/she must not choose to buy the same purchase again, even he/she believe the seller's shop is close to whose home location. It implies that far location is not one factor to influence consumers to choose to buy the product if the consumer lines to buy the product.

Marketing Information and Artificial Intelligence Customer Psychological Predictive: Methods Difference

Johnny Ch Lok
Marketing Information and Artificial Intelligence Customer Psychological Predictive Methods Difference Book PDF

Author : Johnny Ch Lok
Publisher : Independently Published
Page : 254 pages
File Size : 42,9 Mb
Release : 2019-01-15
Category : Business & Economics
ISBN : 179416068X

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Marketing Information and Artificial Intelligence Customer Psychological Predictive: Methods Difference by Johnny Ch Lok Pdf

Chapter TwoWhat is (AI) deep learning techniques to forecast environment behavioral consumptionThe (AI) deep-learning technology leads to performance enhancement and generalization of artificial intelligent technology. It influences the global leader in the field of information technology has declared its intention to utilize the deep-learning technology to solve environmental problems, such as climate change. So, it will help agriculture farming businesses can raise any plant food: vegetable, fruit, rice which grow up very easily if farmers can apply (AI) deep-learning technology to solve environment problems to influence their plant food grow. If the whole year seasonal change is very good and it is suitable for any plant food to grow in farming land easily, e.g. rain is enough and soil is enough for any plant food to grow in the farm lands. Then, fruit, rice, vegetable etc. agriculture businesses will have much beneficial attribution to global farmers. The question is how to use deep-learning technologies in the environmental field to predict the status of pro-environmental consumption. We predicted the pro-environmental consumption index based on Google search query data, using a recurrent neural network ( RNN model). To certify the accuracy of the index, we compared the prediction accuracy of the RNN model with that of the ordinary least square and artificial necessary network models. For example, the RNN model predicts the pro-environmental consumption index better than any other model. we expect the RNN model to perform still better in a big data environment because the deep-learning technologies would be increasingly as the volume of data grows. So, deep-learning technologies could be useful in environmental forecasting to prevent damage caused by climate change to influence any rice, vegetable, tomato, potato, fruit etc. different plant food grow in any countries' farming land easily.For South Korea example, over 800 government agencies spent 2.2 trillion Korea won on eco-products in 2014 year. However, green products are rarely purchased outside these agencies. This phenomenon occurs because there is a gap between consumer attitudes and behavior, that is environmental attitude is a major factor in decision making vis-a-vis the consumption of " green" food and services ( Jorea Ministry of Environment, 2015). Therefore, it is necessary to understand those consumer attitude, that will lead to sustainability-conductive behavior and consumption.2.1Environmental consumption predictionRecently, many researchers have studied pro-environmental consumption and household indexes as well as suicide rate predictions using messages posted by internet users on Google trend, Tweets etc. channel. Whether can environmental consumption be predicted by (AI) deep-learning technological internet channel? How can impact the pro-environmental consumption attitudes of green policies? Korea scientists estimated pro-environmental attitudes using search query data provided by Google trend and confirmed through regression analysis, that pro-environmental attitude has a positive correlation with the pro-environmental attitude index. They also explained that environment-friendly attitude of residents plan an important role in policy making. In the past, most household consumption indexed were calculated through surveys, but (AI) deep-learning technological tool " big data" have recently gained research attention ( Lee et al. 2016).It seems that (AI) deep-learning technology can help agricultural export countries' farmers, e.g. US, UK, Canada, New Zealand, Australia, Japan, China, India etc. they can predict environmental behavioral consumption to any rice, tomato, potato, fruit, vegetable etc. plant food consumers. The beneficial advantages to them include as below:

AI for Marketing and Product Innovation

A. K. Pradeep,Andrew Appel,Stan Sthanunathan
AI for Marketing and Product Innovation Book PDF

Author : A. K. Pradeep,Andrew Appel,Stan Sthanunathan
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 40,7 Mb
Release : 2018-12-06
Category : Business & Economics
ISBN : 9781119484066

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AI for Marketing and Product Innovation by A. K. Pradeep,Andrew Appel,Stan Sthanunathan Pdf

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 Customer Psychological Predictive

Johnny Ch LOK
Artificial Intelligence Customer Psychological Predictive Book PDF

Author : Johnny Ch LOK
Publisher : Unknown
Page : 141 pages
File Size : 43,7 Mb
Release : 2020-08-03
Category : Electronic
ISBN : 9798671924916

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Artificial Intelligence Customer Psychological Predictive by Johnny Ch LOK Pdf

Media economic methods to predict readers' behaviors in publishing industryMedia economics the application of economic theories, concepts and principles to study the macroeconomics and microeconomic aspects of most media consumption and industries, for academic lecturers, policymakers, and industry analysts. Media economics methods include how to apply variety of methodological approaches both qualitative and quantitative methods and statistical analysis, as well as studies using financial, historical and policy driven data.Some economists define land, labor, and capital as the three factors of production and the major contributors to a nation's wealth. Can land, labor and capital be as three main factors of production any books, newspapers, magazines etc. reading products in publishing industry? Some economists believed price was determined by the costs of production, whereas marginal economists equated prices with the level of demand can be any books, magazines, newspapers etc. reading products prices is either determined by the cost of printing production or equated any one kind of these reading products with the level of reader' demand more.The marginal economists contributed the basic analytic tools of demand and supply, consumer utility and the use of mathematics as analytical tools to develop microeconomics. Can apply the basic analytic tools of reader demand and the any one kind of these reading products supply and reading consumer individual reading need, utility and the use of mathematics as analytical tools to predict any kind of reading consumer numbers and reading interesting topic choice in media industry?However, some economists also demonstrated that given a free market economy, such as in free publish industry, the factors of production ( land, labor and capital) were important in understanding the economic system. Can apply the factor of production , e.g. publishing book sale location ( land); publishing book salespeople sale experience ( labor); and attractive book printing quality (capital printing expense) to influence the publishing industry reading consumer reading habit or purchase book activities?However, some economists suggested two important contributions: Analysis of monopoly and price discrimination and the market for labor will influence consumer number. Such as publishing case: Can analysis of which famous royalty publishing book sale firm to the most monopoly and then following its different topic of books sale price to evaluate whether how much every different topic of its similar book topic sale price to be higher to avoid reduce reader numbers, due to the not famous royalty book seller which similar topic book to the famous royalty book seller's prices are too higher than the famous royalty publishers' book prices?

The Difference Between Artificial Intelligence and Psychological Method Predicts: Consumer Behavior

Johnny Ch Lok
The Difference Between Artificial Intelligence and Psychological Method Predicts Consumer Behavior Book PDF

Author : Johnny Ch Lok
Publisher : Independently Published
Page : 174 pages
File Size : 44,8 Mb
Release : 2018-09-08
Category : Business & Economics
ISBN : 1720160414

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The Difference Between Artificial Intelligence and Psychological Method Predicts: Consumer Behavior by Johnny Ch Lok Pdf

This book has these two research questions need to be answered? (1) Can apply (AI) learning machine predict consumer behaviors? (2) Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate? Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans. Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately. In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book. In my this book second part, I shall explain why and how human can possible apply (AI) tool to predict consumer individual emotion. I shall indicate case studies to explain how consumer individual better or worse emotion how to influence whose consumption behavior in different suitations. Finally, I shall indicate evidences to conclude how and why (AI) tool that can be used to predict consumer individual emotion and it will have direct relationship to influence consumption behavior, as well as how (AI) tool can assist businessmen to judge whether what reasons case the customer does not choose to buy its product, it is possible because the product high price factor, poor product quality or poor staff service performance or attitude etc. different factors to influence the consumer decides to choose to buy the other product consequently, when the (AI) tool can confirm consumer has good or bad emotion to judge what factors are the causes his decision making at the moment.

Predictive Marketing

Omer Artun,Dominique Levin
Predictive Marketing Book PDF

Author : Omer Artun,Dominique Levin
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 45,5 Mb
Release : 2015-08-24
Category : Business & Economics
ISBN : 9781119037361

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Predictive Marketing by Omer Artun,Dominique Levin Pdf

Make personalized marketing a reality with this practical guide to predictive analytics Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience. Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations — in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This book shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today. Implement predictive marketing at any size organization Deliver a more personalized marketing experience Automate predictive analytics with machine learning technology Base marketing decisions on concrete data rather than unproven ideas Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience.

Artificial Intelligence Predicts Consumer Behavioral Tool Business Journey

Johnny Ch LOK
Artificial Intelligence Predicts Consumer Behavioral Tool Business Journey Book PDF

Author : Johnny Ch LOK
Publisher : Unknown
Page : 62 pages
File Size : 41,6 Mb
Release : 2018-11-23
Category : Electronic
ISBN : 179025292X

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Artificial Intelligence Predicts Consumer Behavioral Tool Business Journey by Johnny Ch LOK Pdf

PrepareThis AI science fiction brings readers to image whether what are influenced by artificial intelligent big data gathering tool if it can be invented to replace human marketing research method to predict when, how and why consumer behaviors changes successfully. This book let readers to image themselve are such consumer behavior predictive professional how to apply AI tool to predict customer behavior changes for themselve example product industries in this consumer behavioral predictive journey.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict consumer behaviors?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans.Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately.In my this book, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.

Artificial Intelligence Marketing and Predicting Consumer Choice

Steven Struhl
Artificial Intelligence Marketing and Predicting Consumer Choice Book PDF

Author : Steven Struhl
Publisher : Kogan Page Publishers
Page : 273 pages
File Size : 41,8 Mb
Release : 2017-04-03
Category : Business & Economics
ISBN : 9780749479565

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Artificial Intelligence Marketing and Predicting Consumer Choice by Steven Struhl Pdf

The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field. Online resources: bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators.

Enhancing and Predicting Digital Consumer Behavior with AI

Musiolik, Thomas Heinrich,Rodriguez, Raul Villamarin,Kannan, Hemachandran
Enhancing and Predicting Digital Consumer Behavior with AI Book PDF

Author : Musiolik, Thomas Heinrich,Rodriguez, Raul Villamarin,Kannan, Hemachandran
Publisher : IGI Global
Page : 464 pages
File Size : 51,9 Mb
Release : 2024-05-13
Category : Business & Economics
ISBN : 9798369344545

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Enhancing and Predicting Digital Consumer Behavior with AI by Musiolik, Thomas Heinrich,Rodriguez, Raul Villamarin,Kannan, Hemachandran Pdf

Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.

Enhancing and Predicting Digital Consumer Behavior with AI

Thomas Heinrich Musiolik
Enhancing and Predicting Digital Consumer Behavior with AI Book PDF

Author : Thomas Heinrich Musiolik
Publisher : Business Science Reference
Page : 0 pages
File Size : 51,6 Mb
Release : 2024-04-30
Category : Business & Economics
ISBN : 9798369344538

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Enhancing and Predicting Digital Consumer Behavior with AI by Thomas Heinrich Musiolik Pdf

Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. Through multidisciplinary research and practice, specifically focusing on behavioral analysis, the book equips executives, entrepreneurs, marketers, and data analysts with the tools to make informed decisions that drive business success. Enhancing and Predicting Digital Consumer Behavior with AI goes beyond immediate challenges, identifying future trends companies can leverage to develop new products and businesses. It also addresses the ethical implications of rapidly advancing technologies in consumer behavior analysis. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.

Artificial Intelligence Big Data Gathering Predicts Consumer Behavior

Johnny Ch LOK
Artificial Intelligence Big Data Gathering Predicts Consumer Behavior Book PDF

Author : Johnny Ch LOK
Publisher : Independently Published
Page : 488 pages
File Size : 46,6 Mb
Release : 2018-09-19
Category : Electronic
ISBN : 1723836680

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Artificial Intelligence Big Data Gathering Predicts Consumer Behavior by Johnny Ch LOK Pdf

This book has these two research questions need to be answered? (1) Can apply (AI) learning machine predict consumer behaviors? (2) Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate? Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans. Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately. In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book. In my this book second part, I shall explain why and how human can possible apply (AI) tool to predict consumer individual emotion. I shall indicate case studies to explain how consumer individual better or worse emotion how to influence whose consumption behavior in different situation. Finally, I shall indicate evidences to conclude how and why (AI) tool that can be used to predict consumer individual emotion and it will have direct relationship to influence consumption behavior, as well as how (AI) tool can assist businessmen to judge whether what reasons case the customer does not choose to buy its product, it is possible because the product high price factor, poor product quality or poor staff service performance or attitude etc. different factors to influence the consumer decides to choose to buy the other product consequently, when the (AI) tool can confirm consumer has good or bad emotion to judge what factors are the causes his decision making at the moment. Readers can understand why and how (AI) tool can be attempt to be applied to predict customer emotion and it can influence positive or negative consumption behavior to the product clearly in this part.

Predicting Personality

Drew D'Agostino,Greg Skloot
Predicting Personality Book PDF

Author : Drew D'Agostino,Greg Skloot
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 44,9 Mb
Release : 2019-11-19
Category : Business & Economics
ISBN : 9781119630999

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Predicting Personality by Drew D'Agostino,Greg Skloot Pdf

The ultimate playbook for using artificial intelligence to communicate effectively, build teams, and win customers Not long ago, we imagined a hyper-connected world full of trust and openness—a world where effortless communication would bring about a new understanding between people everywhere. Judging from our current environment, this vision of the future may have been overly optimistic. With infinite channels and countless voices flooding them with messages, most people have become highly skeptical and guarded by necessity. As a result, communication is much harder than ever before. Despite the unprecedented connectivity enabled by modern technology, we are far less likely to trust and to invest the time needed to build strong relationships. How can we use technology to reverse this trend? A groundbreaking new branch of artificial intelligence—Personality AI—may be the answer. Combining traditional machine learning, data analytics, and behavioral psychology, Personality AI helps professional communicators tear down walls, establish trust with their audiences, and utilize data to build meaningful relationships, strengthen empathy, and win more customers. Predicting Personality is a practical, real-world playbook for any individual or business whose success hinges on the ability to communicate effectively and build teams. Authors Drew D’Agostino and Greg Skloot—CEO and President, respectively, of Crystal, the app that tells you anyone's personality—show you how businesses can leverage Personality AI and machine learning to grow faster and communicate more effectively than was previously possible. This reader-friendly guide teaches you what Personality AI is, how it works, and demonstrates its practical applications in both life and business. This book: ● Explains how to understand personality types in various contexts, including sales, recruiting, coaching ● Provides guidelines for using personality data to learn and execute ● Explores ethics and compliance considerations surrounding the use of Personality AI ● Offers valuable insights from a leader in the business applications of Personality AI Predicting Personality: Using AI to Understand People and Win More Business is a must-have guide for C-suite executives, sales and marketing professionals, coaches, recruiters, and business owners.

Artificial Intelligence in Forecasting

Sachi Mohanty,Preethi Nanjundan,Tejaswini Kar
Artificial Intelligence in Forecasting Book PDF

Author : Sachi Mohanty,Preethi Nanjundan,Tejaswini Kar
Publisher : CRC Press
Page : 365 pages
File Size : 55,9 Mb
Release : 2024-07-19
Category : Computers
ISBN : 9781040051504

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Artificial Intelligence in Forecasting by Sachi Mohanty,Preethi Nanjundan,Tejaswini Kar Pdf

Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use machine learning to improve accuracy. The software can analyse the past data and can make better prediction about the future trends with higher accuracy and confidence that favours for making proper future planning and decision. In other words, accurate forecasting requires more than just the matching of models to historical data. The book covers the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. Readers will also be familiarised with the necessary skills to meet the increased demand for thoughtful and realistic forecasts.