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Creating a brand value and consumer satisfaction business using artificial intelligence

Envision a circumstance where a dim chocolate naturally shows up in the inquiry page right when one considers its taste or smell. Imagine a circumstance where a formal shoe, dress, contraptions consequently shows up in the pursuit page exactly when one feels or see it. Envision a circumstance where a most loved music video naturally shows up in your pursuit page right when one sings it. a circumstance when you think of a movie it naturally plays in the online. This circumstance goes to a reality when each brand builds up an innovation all alone which will comprehend the five faculties of customers at the season of procurement. “We’re moving from a mobile first, to an AI first company (Google CEO) (Zerega, 2017) [1]. This paper demonstrates that the fate of each brand in web-based business will be through the improvement of an Artificial Intelligence i.e. People need not type in any search page for a specific product or a service instead they should reach people at the moment they think about the product or a service. The examination is done to demonstrate that in future, estimation of a brand will rely upon picking up consumer loyalty’s through a further advancement in technology using Artificial Intelligence i.e. The examination is done to demonstrate that each brand need to a build up a machine supporting Artificial Intelligence to identify and investigate the five senses of shoppers at the season of procurement in E- Commerce business.

This is pointing to our five senses mainly Sight (vision), hearing (audition), taste (gustation), smell (olfaction), and touch (sensation). This examination is done to prove that this is possible by developing a machine which learns and understands the five senses of humans. The examination among 50 consumers on creating a brand value and customer satisfaction in ecommerce business using Artificial Intelligence and their preference towards developing a new machine using Artificial Intelligence to make their purchase more flexible and reliable. The results show that in future the buying through online will be automated using Artificial Intelligence according to consumer preferences and expectations. This will be possible only by developing a machine system which identifies our five senses and this system can only be developed using Artificial Intelligence. The results also show that Artificial Intelligence used in E-Commerce helps in building a better consumer-brand associations and product-brand associations. The results also show that Artificial Intelligence used in E-Commerce will motivate each customer to be loyal to a brand due to their good and better service.1. Introduction

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In a world with more brands, channels and client contact focuses than at any other time, Consumers are presented to another and unexpected world in comparison to ever before which is overflowed with more brands, channels and services where they expect more consistency. Sense observation innovation is produced by understanding increased through one of the faculties, for example, locate, taste, contact or hearing. Case of sense observation is somebody realizing what melody is playing on the music channel in the wake of hearing it. facilitated with this present reality objects. A creative energy comes into reality with the assistance of innovation. In this reality where individuals for the most part like to purchase an item or an administration through online where each brand must guarantee that their item should be the first to achieve the clients out of the millions of items and administrations overwhelmed in the on the web when customers thinks about a product or a service. All the online stores in the future should develop a new technology using Artificial Intelligence which makes buying process customer friendly, starting from filling the customer details till payment gateway everything should occur automatic and within a certain time frame thereby registering a unique name and a value among customers.

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This is conceivable just by building up an innovation which predicts the manner in which client communicates and considers and is just conceivable by examining the five senses. We never stop living in the realm of observation, however we go past it in basic idea – nearly to the purpose of overlooking the commitment of recognition to our concept of truth” (Merleau‐Ponty 1964, 3) [2].Currently AI plays a vital role in brand building, at the moment you type a product or a service in any search page it shows numerous options or predictions in the search page while typing itself which may sometimes contradict with what one has expected to appear. This is mainly applicable in E-Commerce business to develop a technology by a brand the purpose of visibility, time consuming, displaying the exact information of a product or as expected by the customer at the time of purchase thereby engaging the customer, obtaining brand value and also satisfies the customer. Brands speak to something in excess of an item (Ries, 2014) [3], and the brand esteem is made when association put resources into emotive and social advertisements.

2. Literature review

From the past shaping which has been used to find the examination openings. The running with are the underneath included examinations by a bit of the prominent Authors and from the articles and structures. Buyer buy choices includes five phases, recognizing the issue, hunting down item data, assessing the choices, going for buy lastly post buy choices. After the buy has been then it comes post buy conduct whether they are fulfilled or disappointed with the item or administration. (Kotler”,2012) [4]. The American Marketing Associations (1960) characterized mark as a name, term, image or blend of them which is principally used to distinguish the items or administrations of one merchant and separating them from the other [5]. Brand is an identifier (Wood”,2000) and is a direction of an item source (Kotler et al., 1999) [6]. (Lambin 1996; Chernatony, 2010) says that for a brand to separate itself from others it ought to make a superior hotspot for interchanges and affiliations [7]. Later the advancements which occurred as of late in machine learning has changed the path for scanning for items, and is done principally utilizing catchphrases or voice (Yoganarasimhan, 2014) [8].

Totally customized responses to the customer enquiries can increase both the profitability and transparency of a brand’s customer advantage. “The procurement of information, the extraction of bits of knowledge and basic leadership that adjusts and enhances after some time” (Hulme, 2017) [9]. A brand must be fruitful if keeps up a solid connection between a client and an organization McKenna (1991) [10]. Individuals require an ever-increasing number of levels of personalization Garnett (2017) [11]. AI and brand specialists concurred that an association conveys on their guarantee when, they do what they say they are going to do‟ (Garnett, 2017) [12]. Hulme (2017) contends this is to a great extent because of the operational proficiency that AI empowers – “You improve utilization of your assets; you can enhance consumer loyalty.”[13]. Current situation likewise centers around the “Sensory marking” which is a sort of promoting pertinent to all detects in connection to the brand It utilizes the faculties to relate with clients on an enthusiastic level. Brands can produce passionate relationship in the clients’ psyches by speaking to their faculties. A multi-tactile brand encounter produces certain convictions, emotions, contemplations and conclusions to make a brand on picture in the purchaser’s brain and the fundamental use for tangible marking is to speak to the customers detects. It is additionally used to comprehend the feelings and encounters of the customer while being attracted to, acquiring or utilizing the item, infiltrate and command piece of the overall industry, increment productivity and to guarantee introductory and rehash buys. [14]

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3. Objectives of the study

• To study the effectiveness of using Artificial Intelligence in e-commerce business to build consumer – brand associations.

• To study the effectiveness of using Artificial Intelligence in e-commerce business in to build product – brand associations.

• To study the effectiveness of using Artificial Intelligence in e-commerce business to satisfy consumer expectations

• To study the effectiveness of using Artificial Intelligence in e-commerce business to create brand loyalty.

4. Hypothesis

• H0: Consumer believes that in future the buying through online will not be automated using Artificial Intelligence according to consumer preferences.

H1: Consumer believes that in future the buying through online will be automated using Artificial Intelligence according to consumer preferences

• H0: Using Artificial Intelligence in e-commerce business a better consumer – brand associations cannot be built.

H1: Using Artificial Intelligence in e-commerce business a better consumer – brand associations can be built.

• H0: Using Artificial Intelligence in e-commerce business a better product – brand associations cannot be built

H1: Using Artificial Intelligence in e-commerce business a better product – brand associations can be built.

• H0: Using Artificial Intelligence in e-commerce business a better brand loyalty cannot be built.

H1: Using Artificial Intelligence in e-commerce business a better brand loyalty can be built.

5. Research methodology

• Sample design: – Sample size should be convenience sampling with 95% confidence and 5% margin of error.

• Data Collection: In view of this questionnaires were sent to 50 respondents and the inquiries were asked where their responses are noted. Participants were fifty employees as well as consumers working in Artificial intelligence companies. Only fifty were taken because of time confinement and the questionnaires were distributed by hands on guide.

• Tool used for Analyzing Data: The data gathered was analyzed using Percentage analysis, Correlation and Regression analysis, Chi-square, Mean, Variance, p one tailed, p two tailed, t test and Error analysis has also been done. Analysis test was done using Microsoft Excel.

• Note: Here “r” is Correlation coefficient, tc is Test of significance, df is Degree of freedom

6. Data analysis and interpretation

The present examination centers around for the most part 9 factors: Preference, Perception, Exposure, Positioning, Identification, Recognition, Expectations, Loyalty, Association, Motivation, Flexibility and Reliability. These factors are chiefly taken in view of which an estimation of a brand and consumer loyalty is resolved. From the (Fig. 1 – a), most of the respondents solidly agree that they lean toward an innovation which fulfills their desires for making an online buy extremely basic and programmed by firmly consenting to the way this is conceivable just through improvement of a trend setting innovation which comprehends or filters our five detects Most respondents agree to the way that the progression of this innovation would assist each brand with positioning its own character Most respondents agree to the reality an innovation which could comprehend the five faculties of people at the time buy can create mark affiliations. Most respondents agree to the reality an innovation developed using Artificial Intelligence helps in easy recognition of products and services for consumers at the time of buying. From the (Fig. 2), most respondents agree to the way that the proposed innovation using artificial intelligence helps each brand in better delivery of services and also the proposed innovation makes a decent notoriety and impression among purchasers regarding items and administrations.

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Most respondents agree to the way that the proposed innovation using artificial intelligence helps each brand to create a better association due to their better service delivery thereby motivating each consumer for online purchase and by far the greater part of the respondents relentlessly agree that this innovation is possible only by developing a machine which analyses our five senses where for the most part Sight (vision), hearing (try out), taste (gustation), smell (olfaction), and contact (sensation). By far the vast majority of the respondents relentlessly agree that this innovation can make a solid connection between a client and a brand on the off chance that it comes into winning. From the (Table. 1), we can decipher: Preference, Perception, Exposure, Positioning, Identification, Recognition, Expectation, Loyalty, Association, Motivation, Flexibility and Reliability are the variables taken: Result is measurably noteworthy at P<0.05 we can state invalid theory gets rejected saying that in future purchasing and offering believes that in future the buying through online will be automated using Artificial Intelligence according to consumer preferences and as per their desires and inclinations and using Artificial intelligence in e-commerce business a better consumer-brand associations and product-brand associations can be built. Result is measurably noteworthy at P<0.05 we can state invalid theory gets rejected saying that using Artificial Intelligence in e-commerce business a better consumer - brand associations can be built. Result is measurably noteworthy at P<0.05 we can state invalid theory gets rejected saying that Using Artificial Intelligence in e-commerce business a better product - brand associations can be built. Result is measurably noteworthy at P<0.05 we can state invalid theory gets rejected saying that using Artificial Intelligence in e-commerce business a better brand loyalty can be built

6.1 Percentage analysis

Fig. 1 – Respondents response for variables preference, Fig. 2 – Respondents response for variables expectation, loyalty”,

perception, exposure, positioning, identification and recognition association, motivation, flexibility and reliability

6.2 Results of various test: Correlation and regression, chi-square test, mean, variance, p one tailed, p two tailed, t test, standard error and deviation

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