Artificial Intelligence Predicts Consumer Behavioral Tool

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Artificial Intelligence and Consumer Behavior Relationship

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781723707865
Total Pages : 378 pages
Book Rating : 4.7/5 (78 download)

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Book Synopsis Artificial Intelligence and Consumer Behavior Relationship by : Johnny Ch Lok

Download or read book Artificial Intelligence and Consumer Behavior Relationship written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-09-14 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic science or economic art methods predict consumer behavior Economic is both a science and art. Economic is considered as science because systematic knowledge derived from observation, study and experimentation. An art is the practical application of knowledge for achieving definition ends. A science teaches us to know a phenomenon and art traches us to do a thing. How to apply economic science or art method to predict consumer behavior? for example, there is a inflation US this year. This information is derived from positive science. The government takes certain fiscal and monetary measures to bring down to general level of prices in the country. The study of the monetary measures to bring down inflation makes the subject of economics as an art. Hence, as this case, if US government applies economic science or art method to predict this year will have inflation in US, then US government will attempt to avoid social general product prices to be raised, due to inflation influence. It aims to avoid US consumers reduce consumption desire in this year. For another example, nothing could be more useful than water. But in much of the world waste is plentiful enough that another glass more or less matters little to a fresh water supply agent businessman. So, water is chap. But, if any offices buy bottle of glass fresh water to let employees to drink. It will bring advantages that they do not spend time to buy water to drink when they are working in the office time in any offices as well as employees do not need to heat water to drink to waste time to work in offices. So, the bottle of fresh drinking water supply agent is one kind of drinking water product monopoly fresh drinking water supplier to supply fresh drinking water to satisfy office employees who do not need to spend time to heat water to drink in offices. Hence, it is possible that replace other different kind taste of drink or office employees themselves heat water drink in offices. It is general office employees' drinking habits and drinking choice in offices popularly. So, the bottle of fresh drinking water supply agents will concentrate on selling their fresh drinking water to office employee customers only in global fresh drinking water consumption target market. The office employees must be fresh drinking water companies' main target consumers. What is economic laws qualitative or quantitative method to predict consumer behavior? Law of economic are qualitative in nature. They are not exactly stated in quantitative terms. They tell the direction of change which is expected rather than the amount of change. For example, according to the law of consumer demand, the quantity demanded varies inversely with price, We don't say that 10% rise in price will lead to 30% fall in the customers' quantity demand. What is economic merits of deduction method? This method is near to reality. It is less time consuming and less expensive. the use of mathematical techniques in deducing theories of economics brings exactness and clarity in economic analysis. The deductive method is highly abstract. It require a great deal of care to avoid bad logic or faulty economic reasoning. This method makes conclusions to predict consumer behavior, due to reliance on imperfect and correct assumptions. It involves the process of reasoning from particular facts to general principle on the basic of experimentations, observations and statistical methods. In this method, data is collected about a certain economic phenomenon. There are systematically arranged and the general conclusions are drawn from them.

Artificial Intelligence Predicts Consumer Behavior Tool?

Author : Johnny Ch LOK
Publisher : Independently Published
ISBN 13 : 9781723983009
Total Pages : 573 pages
Book Rating : 4.9/5 (83 download)

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Book Synopsis Artificial Intelligence Predicts Consumer Behavior Tool? by : Johnny Ch LOK

Download or read book Artificial Intelligence Predicts Consumer Behavior Tool? written by Johnny Ch LOK and published by Independently Published. This book was released on 2018-09-24 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI predicts England wine bar different segmentation drinker behavior1.Critically evaluate the bases that bars may use to segment their markets.(AI) can help the England win bar to gather data concerns different win drinking segment consumer drinking wine taste choices, then it can predict what countries people will prefer to choose to drink the kind of wine taste in order to choose the preferable kinds of taste wine to satisfy different countries' wine drinkers.The United Kingdom bars market is a mass marketing, it means a strategy that presumes these is one undifferentiated market and that the bars wine drinking service provision will appeal to all consumers in that similar bar market. Marketing matching strategy divides segmentation, it means act of dissecting the marketplace into submarkets ( segments) that require different marketing mixes, then targeting, it is the process of reviewing market segments and deciding which one(s) to pursue finally positioning, it needs to establish a differentiating image for a product or service in relation to its competition. segmentation variables may divide geographic, demographic, psychographic and behavioral variables.In general, marketers may use a single variable or two or more variables. Geographic segmentation is based on the location of the target market, people living in the same area have similar needs that differ from living in other areas, climate, population, taste and micromarketing. Demographic segmentation is based on factors, such as age, gender, marital status, income, occupation, education, ethnicity. Psychographic segmentation is based on lifestyle and personality characteristics. Behavioral segmentation is based on attitudes toward or reactions to a product/service and to its promotional appeals, usage rate, benefits sought from a product/ a service and loyalty to a brand or a store.There are three basic market targeting strategies, such as undifferentiated, differentiated and concentration. Undifferentiated strategy ignores differences between groups within a market and offers a single market mix to the entire market and it works when a product/service is new to the market and there is minimal or no competition. Differentiated strategy means targeting two or more segments with different marketing mixes for each, concentration strategy focuses on one sub-market. Most British towns would had many small bars, all looking fairly similar to each other, with relatively few point of differentiation. Thus, if the UK bars do not use to segment their markets. I believe these UK bars will face much competition between themselves. In general, the market for drinking in pubs was fairly homogenous, comprising mostly male, who went to the pub mainly to drink and only very rarely to eat.Now, UK pubs, clubs and bars continues to be a popular leisure activity in UK and pubs have benefits from a growth in eating out.But, pub operators face challenges , including taxes on alcohol, growing competition from supermarkets for off sales, a smoking bad introduced. Pub operators have had to focus the design of bars on meeting the needs of smaller and smaller market segments. No longer is the pub market dominated by males going out to drink-professional women and families are among many segments and the professional and families segments, who seems dislike loud music or big screen television, who like to drink good quality coffee served more than beer, who like to enjoy bright and airy decorative in bars, who like to drink served to the table rather than queuing at the bar. These may have been design features that were unsought or unwanted by the traditional male heavy drinker segment.

Artificial Intelligence Big Data Gathering Predicts Consumer Behavior

Author : Johnny Ch LOK
Publisher : Independently Published
ISBN 13 : 9781723837647
Total Pages : 488 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis Artificial Intelligence Big Data Gathering Predicts Consumer Behavior by : Johnny Ch LOK

Download or read book Artificial Intelligence Big Data Gathering Predicts Consumer Behavior written by Johnny Ch LOK and published by Independently Published. This book was released on 2018-09-19 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: In -store consumer digital signage behavior how can influence consumer behavior by (AI) marketing research survey method?Digital signage is a new technology, where people broadcasting displays adapt their content to the audience demographic and features. In some shopping centers, retailers like to use machine learning methods on real-world digital signage viewer data to predict consumer behavior in a retail environment. Digital signage systems are nowadays primarily used as public information interfaces. They display general information, advertise content or serve as media for enhanced customer experience.Interaction design studies show that the interaction level of users with digital signage systems will increase, including also the mobility of users around the display. Since digital signage systems can have a significant effect on commerce, which are also rapidly shopping centers ad retail stores. Retail generalization studies reveal that in-store digital signage increases customer traffic and sales ( Burke, 2009).Some consumer psychologists believe purchase decision processes can be described with five stages. The first stage is problem recognition, where consumer recognizes a problem is a need. The second stage is search for information via heightened attention of consumer towards information about a certain product, which can even resolve in actual proactive search for information. The third stage represents the evaluation of alternatives , which usually involves a comparison between various options and features based in the models of the expected value and beliefs. In the fourth stage of the purchase decision process, a provider, place, time, value , type and quality of the selected product or service and determined. The fifth stage are the final stage describes the post purchase use, behavior and actions.Why will digital signage influence consumers choose to buy the product? It is possible that some consumers who like to use visa card to go to shopping as well as who like to use digital signage to confirm who are the visa card holders to let the businessmen to feel who are rich to let bank give trust to issue visa card to them to use. So, who do not need to bring much money to leave home to prepare to buy anything and who only bring one visa card to leave home safely. Thus, the digital signage systems are a new approach to automatic modelling of in-store consumer behavior based on audience measurement data. It is a unique machine payment method, which can also be used to predict more distinctive characteristics, such as an consumer individual's role in the purchase decision process. So, I believe digital signage audience measurement data can be used to model various user behavior for one kind of in-store consumer behavior prediction of method. Hence, it seems travel agent or airline can choose to apply visa card signature method to encourage travelers to make travel package purchase decision more easily by this electronic card payment method.

Artificial Intelligence Predicts Traveller Behaviors?

Author : Johnny Ch Lok
Publisher :
ISBN 13 : 9781077870437
Total Pages : 188 pages
Book Rating : 4.8/5 (74 download)

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Book Synopsis Artificial Intelligence Predicts Traveller Behaviors? by : Johnny Ch Lok

Download or read book Artificial Intelligence Predicts Traveller Behaviors? written by Johnny Ch Lok and published by . This book was released on 2019-07-03 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: What methods can predict future travel behavioural consumptionHow to use qualitative of travel behavioural method to predict future travel consumption. I also suggest to use qualitative of travel behavioural method to predict future travel consumption. Methods such as focus groups interviews and participant observer techniques can be used with quantitative approaches on their own to fill the gaps left by quantitative techniques. These insights have contributed to the development of increasingly sophisticated models to forecast travel behavior and predict changes in behavior in response to change in the transportation system. First, survey methods restrict not only the question frame but the answer frame as well, anticipating the important issues and questions and the responses. However, these surveys methods are not well suited to exploratory areas of research where issues remain unidentified and the researched seek to answer the question "why?". Second, data collection methods using traditional travel diaries or telephone recruitment can under represent certain segments of the population, particularly the older persons with little education, minorities and the poor. Before the survey, focus group for example can be used to identify what socio-demographic variables to include in the survey, how best to structure the diary, even what incentives will be most effective in increasing the response rate. After the survey, focus, focus groups can be used to build explanations for the survey results to identify the "why" of the results as well as the implications. One Asia Pacific survey research result was made by tourism market investigation before. It indicated the travel in Asia Pacific market in the past, had often been undertaken in large groups through leisure package sold in bulk, or in large organized business groups, future travelers will be in smaller groups or alone, and for a much wider range of reasons. Significant new traveler segments, such as female business traveler. The small business traveler and the senior traveler, all of which have different aspirations and requirements from the travel experience. Moreover, Asia tourism market will start to exist behaviors in the adoption of newer technologies, a giving the traveler new ways to manage the travel experience, creating new behaviors. This with provide new opportunities for travel providers. The use of mobile devices, smartphones, tablets etc. and social media are the obvious findings to become an integral part of the travel experience. Thus, quality method can attempt to predict Asia Pacific tourism market development in the future. However, improving the predictive power of travel behavior models and to increase understanding travel behavior which lies in the use of panel data( repeated measures from the same individuals). Whereas, cross-sectional data only reveal inter-individual differences at one moment in time, panel data can reveal intra-individual changes over time. In effect, panel data are generally better suited to understand and predict ( changes in ) travel behavior. However, a substantial proportion was also observed to transition between very different activity/travel patterns over time, indicating that from one year to the next, many people renegotiated their activity/travel patterns.

Can Apply Artificial Intelligence Predicts Consumer Behavior in Business Environment

Author : Johnny Ch Lok
Publisher : CA Apply Artificial Intelligen
ISBN 13 : 9781720183808
Total Pages : 572 pages
Book Rating : 4.1/5 (838 download)

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Book Synopsis Can Apply Artificial Intelligence Predicts Consumer Behavior in Business Environment by : Johnny Ch Lok

Download or read book Can Apply Artificial Intelligence Predicts Consumer Behavior in Business Environment written by Johnny Ch Lok and published by CA Apply Artificial Intelligen. This book was released on 2018-09-09 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can implicit design questionnaire (survey) or /and interview methods can test consumer behavior for measuring consumer response to environment protection product by AI marketing research survey method? Some design researchers often use interviews and/or questionnaires to measure consumer response to any product design method, such as environment protection product. In psychology, " implicit" tests have been developed in an attempt to overcome self-report biases and to obtain a more automatic measure of attitudes. Two exploratory studies have conducted to (i) establishing an acceptable methodology for implicit tests using product images, and (ii) determining whether response to products can produce significant effects in affection. How to contribute design-research methodological developments for measuring consumer response. For example, product design research and conventional methods need to be gathered consumer feedback. How can consumer research in product design? Understanding how consumer experience designed products has important implications for design research and design practice. Thus, product manufacturers need to attempt to develop knowledge about the relationship between product designs and the responses who elicit from consumers, e.g. borrowing which product features can contribute to consumer preference by presenting consumers with a range of products or design variants and measuring subjective responses to them. This process can offer guidance for what products or design variants might be most preferred and can give useful clues for further design development. Consumer response can be measured by questionnaires( surveys), interviews and focus groups. Questionnaire methods are especially popular and often feature attitude response. However, consumer survey responses may not fully capture reactions to a product or predict future behavior, such as purchasing decisions in the marketplace. This is evidence that actual product-related behavior is affected any more spontaneous or impulse processes, as consumers are often distracted or processes for time when consuming products or making product decisions ( Friese, Hofman & Wanke, 2009). For example, cell phone images can be replaced with cars in order to develop the experiment using a second product category. As with phones, vehicles were chose, due to their wide appeal, user involvement and variety of models for potential testing. In these experimental studies, the consumption psychologists selected products from two categories ( phone models and car models) with the intention of measuring significant differences in approach bias among product stimuli. These consumption psychologists aim to test that of the method could be defined to measure attitudes with sufficient sensitivity, variants of particular designs could also be used as stimuli, offering feedback on the viability of different design directions. The consumption psychologists feel it will be helpful to add multiple questions to the self-report stage . Instead of a single attractiveness rating, who might as about " liking" or "employing additional methods." Comparison with real would measure, such as willingness to pay, prior ownership or observed consumption behavior may also be instructive. It may also be worthwhile test a version of the task where the correct response is determined by a feature, such as class membership ( product color), shape, brand etc. instead of image, location or rotation. It seems survey method can be used to predict whether how to design environment protection product to attract many consumer choices. In the economic view point, instead of consumer will compare different similar product price, who also compare product color, shape, size of design factor to decide to make final consumption decision.

Artificial Intelligence Predicts Consumer Behavioral Tool

Author : Johnny Ch LOK
Publisher : Independently Published
ISBN 13 : 9781790253166
Total Pages : 62 pages
Book Rating : 4.2/5 (531 download)

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Book Synopsis Artificial Intelligence Predicts Consumer Behavioral Tool by : Johnny Ch LOK

Download or read book Artificial Intelligence Predicts Consumer Behavioral Tool written by Johnny Ch LOK and published by Independently Published. This book was released on 2018-11-23 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to apply (AI) tools to predict vehicle buyers' behavioral consumption model? Whether artificial intelligent tools can predict automotive buyers' behavioral consumption model and predict future trend. In fact, automotive brands and dealerships are facing an increasingly competition when attempting to manually gathering the vast quantities of data required to create customer focused programs that increase retention, ultimately new sales and service automotive business. Building a based on that client's intrinsic needs and interests to any kinds of automotive vehicles at any given time. This is especially true in the automotive industry where the time span between purchases is measured in years. Because vehicle buyers would not like often to change their old vehicle to another new one. So, their decisions to buying another new vehicle, the time is usually after one year, even longer time. Hence, it seems any vehicles won't be frequent consumption products to the owned at least one vehicle family consumers (vehicle buyers).Hence, how to predict vehicle consumers' taste or preferable which styles of vehicle choices issues is very important. If the vehicle manufacturers can not manufacture any attractive vehicles to sell easily in this year. Then, it will lose time, money in this year because it won't know when the owned least one vehicle users or non-owned any vehicle users who will decide to buy one new vehicle or change another new vehicle ensure. The different brand vehicle dealers will possible wait more than one year to attract them to buy their vehicles if their styles are not attractive to compare other brands of vehicle competitors.However, artificial intelligence and machine learning can help any vehicle manufacturers to find solution to solve patterns in highly to solve patterns in highly complex data-sets that are beyond the capability of a human brain, and then building and automatically acting on the customer insights it generates. Given the automotive customer need for individualized communications, this technology is positioned to become a critical component of any successful vehicle retailer's domestic or/and overseas vehicle markets. How can vehicle manufacturers and retailers use (AI) to enhance their vehicle marketing campaigns? How will (AI) affect their vehicle sale marketing strategy? What criteria would they use when selecting on (AI) solution?Vehicle consumers today are able to quickly access different brands of vehicle information, research vehicle products and reviews, negotiate prices and compare one vehicle brand or retailer to another resulting of the brands of vehicle customers. At the same time, the rise of " big -data mining", wearable devices that track user's every move and preference and greater contextualization in advertising and social media has resulted in consumer expectations of individualized. Thus, it seems that (AI) tools can be used to gather " big-data" and then they can make human's mind to analyze how to design kinds of vehicles to satisfy vehicle buyers' needs.As automotive vehicle marketers can apply (AI) tools to achieve messaging strategies to meet the needs of this new generation of informed vehicle consumers, using data from a variety of sources to move from a variety of sources to move from mass- messaging to more personalized messages aimed at particular vehicle buyer segments, e.g. fast speed sport vehicle buyer segment, slow speed comfortable small size or large size of buyer segment. However, when 90% of vehicle marketers believe having a single vehicle buyer view is important, only 6% have achieved it.

Artificial Intelligence Predicts Consumer Behavioral Tool ?

Author : Johnny Ch Lok
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781720803676
Total Pages : 64 pages
Book Rating : 4.8/5 (36 download)

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Book Synopsis Artificial Intelligence Predicts Consumer Behavioral Tool ? by : Johnny Ch Lok

Download or read book Artificial Intelligence Predicts Consumer Behavioral Tool ? written by Johnny Ch Lok and published by Createspace Independent Publishing Platform. This book was released on 2018-06-05 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter One How can artificial intelligent tools predict consumer behavior in vehicle market Nowadays, many vehicle manufacturers hope their vehicles can attract to vehicle buyers to choose to buy their vehicles. However, there are many different brands of vehicles to provide to them to choose, so the vehicle market competition is very serious. How to judge their different kinds of vehicle price which is reasonable acceptance to attract vehicle buyers to choose to buy the brand of vehicle manufacturers' any kinds of vehicles, e.g. fast speed sport style vehicles, comfortable and slow speed common cars, for four passengers common small size or more than four passengers common large car size? How to evaluate the vehicle prices issue is important factor to influence vehicle buyers' choices. Either if the brand of vehicle price is too high to compare brands, it will influence many vehicle buyers choose to buy other brands' vehicles or if the brand of vehicle price is too low, it will influence vehicle buyers feel this brand's vehicle's quality is worse to compare to other vehicle brands' similar vehicle products.

Marketing Information Prediction and Artificial Intelligence

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781793172624
Total Pages : 254 pages
Book Rating : 4.1/5 (726 download)

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Book Synopsis Marketing Information Prediction and Artificial Intelligence by : Johnny Ch Lok

Download or read book Marketing Information Prediction and Artificial Intelligence written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-04 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental 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: (a)Assuming they know their countries' weather, when it has less rain to cause drought or when it has more rain in any seasonal time in the year. They can choose not to grow any kinds of above these plant food to avoid loss.(b)They can make any kinds of above these plant food price raising after their prediction of these bad seasonal time to cause their plant food shortage supply challenge. Because these plant food consumers' demand number is more, but the supply of these above plant food supply number is less. However, due to they had predicted when the bad seasonal time can not allow them to grow these above plant food before. So, they have enough time to grow many these above plant food number in predictive good seasonal time to prepare to supply to their plant food import countries' plant food consumers to eat. Thus, these predictive environmental consumption plant food export countries can raise their plant food price to sell to them. When, the other non-pre-predictive environmental consumption plant food export countries can not supply any one of those plant food to them to eat, due to the bad climate to cause them can't grow any one of these plant food to export to sell.Thus, (AI) deep-learning technology can be applied to predict how to raise the plant food supply number in order to raise price to the import plant food countries consumers to eat, due to they feel difficult to buy these plant food to eat in the bad climate seasonal time in whole year.

What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive: Methods

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781793104038
Total Pages : 254 pages
Book Rating : 4.1/5 (4 download)

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Book Synopsis What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive: Methods by : Johnny Ch Lok

Download or read book What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive: Methods written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-03 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic science or economic art methods predict consumer behaviorEconomic is both a science and art. Economic is considered as science because systematic knowledge derived from observation, study and experimentation. An art is the practical application of knowledge for achieving definition ends. A science teaches us to know a phenomenon and art traches us to do a thing. How to apply economic science or art method to predict consumer behavior? for example, there is a inflation US this year. This information is derived from positive science. The government takes certain fiscal and monetary measures to bring down to general level of prices in the country. The study of the monetary measures to bring down inflation makes the subject of economics as an art. Hence, as this case, if US government applies economic science or art method to predict this year will have inflation in US, then US government will attempt to avoid social general product prices to be raised, due to inflation influence. It aims to avoid US consumers reduce consumption desire in this year.For another example, nothing could be more useful than water. But in much of the world waste is plentiful enough that another glass more or less matters little to a fresh water supply agent businessman. So, water is chap. But, if any offices buy bottle of glass fresh water to let employees to drink. It will bring advantages that they do not spend time to buy water to drink when they are working in the office time in any offices as well as employees do not need to heat water to drink to waste time to work in offices. So, the bottle of fresh drinking water supply agent is one kind of drinking water product monopoly fresh drinking water supplier to supply fresh drinking water to satisfy office employees who do not need to spend time to heat water to drink in offices. Hence, it is possible that replace other different kind taste of drink or office employees themselves heat water drink in offices. It is general office employees' drinking habits and drinking choice in offices popularly. So, the bottle of fresh drinking water supply agents will concentrate on selling their fresh drinking water to office employee customers only in global fresh drinking water consumption target market. The office employees must be fresh drinking water companies' main target consumers.What is economic laws qualitative or quantitative method to predict consumer behavior? Law of economic are qualitative in nature. They are not exactly stated in quantitative terms. They tell the direction of change which is expected rather than the amount of change. For example, according to the law of consumer demand, the quantity demanded varies inversely with price, We don't say that 10% rise in price will lead to 30% fall in the customers' quantity demand.What is economic merits of deduction method? This method is near to reality. It is less time consuming and less expensive. the use of mathematical techniques in deducing theories of economics brings exactness and clarity in economic analysis. The deductive method is highly abstract. It require a great deal of care to avoid bad logic or faulty economic reasoning. This method makes conclusions to predict consumer behavior, due to reliance on imperfect and correct assumptions. It involves the process of reasoning from particular facts to general principle on the basic of experimentations, observations and statistical methods. In this method, data is collected about a certain economic phenomenon. There are systematically arranged and the general conclusions are drawn from them.What are the advantages of inductive method to predict consumer behavior? It is based on facts as such the method is realistic. In order to test the economic principles, method makes statistical techniques. The inductive method is therefore more reliable, inductive method is dynamic

Artificial Intelligence Predicts

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781983065712
Total Pages : 56 pages
Book Rating : 4.0/5 (657 download)

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Book Synopsis Artificial Intelligence Predicts by : Johnny Ch LOK

Download or read book Artificial Intelligence Predicts written by Johnny Ch LOK and published by . This book was released on 2018-06-03 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter two How can (AI) provide businesses with better- informed decisions I shall explain how (AI) technology can provide businesses with better-informed decisions to drive top-line growth, deliver meaningful experience for customers and smooth their path along the consumer journey. The widely understood definition of (AI) involves the ability of machines or computers to learn human thinking, reasoning and decision-making abilities. A Narrative science study in 2015 year identified that (AI) was being used primarily in voice recognition, machine learning virtual assistants and decision support. This study also highlighted the many branches of (AI) and that techniques and their definition are used interchangeably. It is possible that (AI) can be used to gather big data , then to analyze to help businesses to predict consumer behaviors. For example, one of the most common techniques is machine learning, where algorithms are used to perform tasks by learning from historical data. Another growth branch of (AI) is natural language procession.

Artificial Intelligence Predicts Market Behaviors

Author : Johnny Ch Lok
Publisher :
ISBN 13 :
Total Pages : 168 pages
Book Rating : 4.6/5 (51 download)

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Book Synopsis Artificial Intelligence Predicts Market Behaviors by : Johnny Ch Lok

Download or read book Artificial Intelligence Predicts Market Behaviors written by Johnny Ch Lok and published by . This book was released on 2020-01-27 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Challenge to using (AI) neural networks to predict customer behavior from big data gather tool(AI) big data gather tool will encounter the challenge: How can predict customer behavior be represented as sequential data describing the interactions of the customer with a company or an (AI) data gather system through the time, e.g. these interactions are items that the customer purchase or views ? So, every customer data gather, (AI) needs to spend time to analyze how and why to cause whose consumption behavioral choice. It is too difficult matter or judgement for (AI) learning. So, (AI) needs to spend time to learn how to analyze every customer's shopping behavior or actin in order to gather all different consumers' past shopping action information in order to help business owners to predict future its potential customer shopping behavior how to change more clear and accurate prediction. (AI) big data gather tool needs to learn to know that how to judge every customer interaction likes purchases over time can be represented with sequential data. Sequential data has the main property that the order of the information is important. Many (AI) machine learning models are not suited for sequential data, as they consider each input sample independent from previous ones. Therefore, at the end of the sequence, (AI) big data gather learn machines need to keep in their internal state of every customer purchase data, kind of product or service, price, whole year consumption times form all previous inputs, making them suitable for this type of data.However, consumer behavior can be represented as sequential data describing the interactions through the time. Examples of these interactions are the items that the user purchases or views. Therefore, the history of interactions can be modeled as sequential data, which has the particular trial that an incorporate a temporal aspect. For example, if a user buys a new mobile phone, who might purchase accessories for this mobile phone in the near future or it the user buys a electronic book or paper book, he might be interested in books by the same author. Therefore, to make accurate predictions is important to model this temporal aspect correctly. To solve this predictive challenge of consumers to buy the product. One count the number of purchased products of a particular category in the last N days, or the number of days since the last purchase.

Enhancing and Predicting Digital Consumer Behavior with AI

Author : Musiolik, Thomas Heinrich
Publisher : IGI Global
ISBN 13 :
Total Pages : 464 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Enhancing and Predicting Digital Consumer Behavior with AI by : Musiolik, Thomas Heinrich

Download or read book Enhancing and Predicting Digital Consumer Behavior with AI written by Musiolik, Thomas Heinrich and published by IGI Global. This book was released on 2024-05-13 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence Predicts Consumer Behaviors

Author : Johnny Ch Lok
Publisher :
ISBN 13 :
Total Pages : 66 pages
Book Rating : 4.5/5 (77 download)

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Book Synopsis Artificial Intelligence Predicts Consumer Behaviors by : Johnny Ch Lok

Download or read book Artificial Intelligence Predicts Consumer Behaviors written by Johnny Ch Lok and published by . This book was released on 2020-12-05 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the future, (AI) will bring their benefits to influence customers to build positive emotions to any retailers in these aspects as below:1.Future (AI) big data gather tool will be an area of compute science that deals with giving machines, the ability to seem like they have human intelligence. In short, it is the power of a machine to copy intelligent human behavior. For example, machine learning algorithms are being integrated into analytics and customer relationship management platforms to uncover information on how to better serve customers, chat bots have been incorporated into websites to provide immediate service to customers.2.(AI) adoption continue to rise with chat bots taking the lead. Due to increasing ease of deployment, instant availability and improved quality, chat bots will become more and more common to manage customer service queries and to make intelligent purchase recommendations. Also, retailers can engage this kind of technology to answer continue questions and supplement customer support with chat-based shopping experience. So, (AI) and declines personalized, customized and localized experiences to customers. (AI) will be applied across the entire retail product and service cycle, firm manufacturing to post-sale customer service interactions. Hence, retailers can use (AI) to its fullest potential will be also to influence purchases in the moment and anticipate future purchases, guiding shoppers towards the right products in a regular and highly personalized manner.3.(AI) technology can rise the conscious customers. Customers are demanding an increased interest in the ethical practice of the brands they buy from. Todays, customers have a well-developed sense of what is solely intended to drive sales. This has lead to a rise in consumers ho make values based judgements about what to buy and where to shop. These consumers believe their purchase habits have an impact on the world. To win customers, retailers need have good conscious to predict consumers' desire. Future, (AI) data gather technology will be a good consumer behavior predictive tool to predict about for years will now become customer expectations and will have drastically changed the path to purchase. So, (AI) data gather tool is the predictive consumer expectations tool on every interaction, they have these brands.4.Future (AI) can be impacted to influence consumer behaviors by its potential to free up time, enhance, quality, and enhance personalization. The industries include: Healthcare industry can apply (AI) to support diagnosis by detecting variations in patient data, early identification of potential pandemics, imaging diagnostics; automat industry can apply (AI) to autonomous fleets to ride sharing, semi-autonomous features, such as driver assist, engine monitoring and predictive, autonomous maintenance; financial service industry can apply (AI) to design the suitable personalized financial planning, fraud detection and anti-money laundering and automation of customer operation; transportation and logistics industry can apply (AI) to autonomous trucking and delivery, traffic control and reduced congestion and enhanced security; technology, media and telecommunications industry can apply (AI) to search media, and recommendation, customized content creation and personalized marketing and advertising to attract retailers to promote; retail and consumer industry can apply (AI) to design personalized production, anticipating customer demand, inventory and delivery management; energy industry can apply (AI) to read and record smart metering, more efficient grid operation and storage and predictive maintenance; manufacturing industry can apply (AI) to enhance monitoring and auto-correction of processes, supply chain and production optimization and on-demand production.

Artificial Intelligence And Consumer Behavioral Relationship

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781099445835
Total Pages : 574 pages
Book Rating : 4.4/5 (458 download)

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Book Synopsis Artificial Intelligence And Consumer Behavioral Relationship by : Johnny Ch Lok

Download or read book Artificial Intelligence And Consumer Behavioral Relationship written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-05-20 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is (AI) the best and the most effective and accurate consumer behavioral prediction tool to compare other kinds of consumer behavioral prediction tools? Nowadays, retailing competitions are serious businessmen often find different kinds of methods to attempt to predict consumer changes. The consumer behavioral predictive methods can include as these below methods, instead of (AI) big data gathering tool.Firstly, statistics is the popular mathematic method, it applies auto-regression, liner regression, structural equation modelling, logistic regression statistic techniques to be used to predict consumer behaviors. Secondly, it is classification method, it sis a support vector machine to assist businessmen to make consumer behavioral prediction, it also includes decision making tress diagram technique. Thirdly, it is rule mining method, it is algorithm, market base analytic etc. business marketing concept analytical tool, it also includes graph mining technique tool. Next, it is psychological prediction model tool, it is psychology prediction model too, it is a kind of psychological method to predict consumer behaviors. Finally, it is the most updated and potential artificial neural network (ANN) machine tool, it gathered big data, then it will carry on analyzing and applies psychological method to conclude the most accurate and reasonable solutions to give recommendation to businesses to predict when and how and why their consumer behaviors will change. So, it is one owned human mind's machine and owned psychological and analytical efforts to replace humans to make any judgement in order to make the most accurate predictive behavioral changes for consumers, instead of the traditional marketing concept and psychological and mathematic methods to predict consumer behavior, (AI) big data gathering tool will be another new tool.What are the advantages of (AI) tool to be used to predict consumer behaviors as well as what are the different between it and other traditional consumer behavioral predictive tools? I shall explain as below: Firstly, as above all case studies are explained to (AI) questionnaire design method benefit, I believe (AI) big data gathering tool can be applied to help human to analyze and design any the suitable valid questions to enquire any kinds of business consumers in order to gather the most meaning and useful opinions to conclude the most accurate consumer behavioral prediction for every questionnaire. So, future (AI)'s analytical effort and decision making effort most be exceed above human's judgement efforts. So, future (AI) can help human to design the most useful and meaning different kinds of valid questionnaire ( survey) questions as well as assist humans to analyze and make accurate decision making and conclusions to give opinions to help businessmen to predict when consumer behaviors will change and how their consumption behaviors will change to influence their businesses in order to help them to make any efficient and effective and accurate solutions to avoid consumer number to be decreased and the most important benefit is that it can give opinions to help businessmen to explain why ( what the factors ) cause their consumer behaviors change suddenly. It will be human's efforts can not achieve to exceed (AI)'s efforts in the future.Secondly, (AI) can make artificial machine judgement and analytical effort, without human misleading or unfair or unreasonable judgement. So, it can make more fair and reasonable and accurate conclusion to give opinions to predict when, how and why consumer behaviors will change suddenly to the kind of business in customer model building process and evaluating the results of customer relationship management -related investment more accurate.

Can Artificial Intelligence Become Predictive

Author : John Lok
Publisher :
ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.8/5 (856 download)

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Book Synopsis Can Artificial Intelligence Become Predictive by : John Lok

Download or read book Can Artificial Intelligence Become Predictive written by John Lok and published by . This book was released on 2022-01-21 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has these two research questions need to be answered: Has it close relationship between (AI)learning machine and predictive consumer behaviors? Can (AI) build close relationship to replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer ?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

Can Apply Artificial Intelligence to Predict Consumer Behavior: In Any Business Environment ?

Author : Johnny Ch Lok
Publisher : Can Apply Artificial Intellige
ISBN 13 : 9781720180869
Total Pages : 362 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis Can Apply Artificial Intelligence to Predict Consumer Behavior: In Any Business Environment ? by : Johnny Ch Lok

Download or read book Can Apply Artificial Intelligence to Predict Consumer Behavior: In Any Business Environment ? written by Johnny Ch Lok and published by Can Apply Artificial Intellige. This book was released on 2018-09-09 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare 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.

Artificial Intelligence Predicts Consumer Behaviors

Author : John Lok
Publisher : Independently Published
ISBN 13 :
Total Pages : 78 pages
Book Rating : 4.4/5 (744 download)

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Book Synopsis Artificial Intelligence Predicts Consumer Behaviors by : John Lok

Download or read book Artificial Intelligence Predicts Consumer Behaviors written by John Lok and published by Independently Published. This book was released on 2021-09-10 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: To apply (AI) learning machine technology to understand customer online purchase behavior, it will raise business e-commerce successful chance: For example, (AI) learning machine can help businesses to gather data to analyze to determine whether short-term or long-term signals in the online consumer behavior that indicate higher purchase intents to let every online business to know. (AI) learning machine can find that online users with long-term purchasing intent tend to save and click through on more content. However, as online users approach the time of purchase their activity becomes more topically focused and actions shift from saves to searches from online consumption channel. Then, (AI) learning machine will further find that the brand product purchase signals in online behavior can exist weakness before an online purchase is made and can also be traced across different online purchase categories. Finally, (AI) learning machine synthesize these insights in predictive models of online user purchasing intent to the brand of product. Taken together, it's work identifies a set of general principles and signals that can be used to model online user purchasing intent across many online content discovery applications. Thus, (AI) learning machine can help online businesses to gather any online users' click online behaviors data to judge whether there are how many online users will choose to find their online business websites to make final decisions to buy their products from online channels. Then, it will give opinions to help the online businesses to let it to judge whether what are the important website factors will help its online business to attract many online consumers, e.g. designing unattractive website issue, online unattractive product photos issue, unclear website color issue, unclear website advertisement message, contents and words impressions issue, lacking image movement frequent attractive seeing issue etc. different website factors. Thus, online digital channel will be one good choice to apply (AI) learning machine to help businesses to predict consumer behaviors.