Improve Customer Service Research Articles

Pasa Ateh Traders' Strategies for Increasing Sales Amidst the Rise of Online Shops

This research discusses the strategies of market traders in increasing sales amidst the rise of online shops. The aim of this research is to explain the obstacles faced by PasaAteh traders amidst the proliferation of online shops as well as the strategies of PasaAteh traders in increasing their sales amidst the current proliferation of online shops. The research method used is qualitative research. Data collected through field observations, interviews and documentation. The theory used is Modernization Theory by Walt Rostow. The findings of this research are that market traders experience obstacles in increasing their business amidst the current rise of online shops. Online shops have had an impact on sales in the market. Technological advances have brought major changes in the marketing realm which has resulted in people preferring to shop online with all the convenience it offers, thus making market traders face obstacles in the form of intense competition, lack of promotion and marketing, changes in consumer habits, limited product availability and product variations. Therefore, market traders must maintain their business and create strategies by updating business models, loyalty and discount programs, improving customer service and increasing products and product variations.

Construction of Business Model of Unmanned Economy Under Digital Technology

In the ever-evolving landscape of modern business, the integration of advanced technologies is paramount for optimizing operations, ensuring efficiency, and staying competitive. The business model for the unmanned economy comprises the challenges related to supply chain and logistics. This paper proposed an architecture of LM-LSTM (Linear Regression and Long Short-Term Memory) model within the context of the Unmanned business model. The proposed model uses the mandami based fuzzy rule for the computation of the unmanned economy. Within the mandami fuzzy linear regression model is adopted for the computation and estimation of the variables related to the unmanned economy. The objective is to provide a comprehensive analysis of the impact of this predictive modeling system on various dimensions of the business. Through the generated rules the LSTM model is utilized for the classification and computation of the features related to supply chain, forecast demand and other parameters in an unmanned economy. The examination of 10 unmanned products in Chinese products are evaluated. The findings of LM-LSTM stated that Sales forecasting, one of the critical aspects of any business, has seen a remarkable improvement in accuracy, with an average Mean Absolute Error (MAE) of 3.00%. This accuracy ensures that products are produced and stocked according to actual demand, preventing costly overstocking or stockouts. The inventory management process has been streamlined, with tailored strategies for each product category. This adaptation has resulted in reduced stockouts, efficient parts sourcing, and minimal overstock situations. Supply chain optimization has significantly reduced lead times, enhancing customer satisfaction through timely product deliveries. Customer behavior analysis, facilitated by LM-LSTM, has led to a notable increase in sales across the product range, with an average increase of 91%. This enhanced customer engagement is coupled with substantial cost savings, with an overall reduction of 118%. Downtime has been minimized, contributing to smoother operations and improved customer service.

OPPORTUNITIES AND CHALLENGES FOR INDIAN RETAIL STORES AND THEIR MARKETING STRATEGIES

Purpose: Recognize consumer needs, seek out new business opportunities, create the best marketing plan, cut costs, and keep an eye on the competition. Because of retailers, consumers have access to a vast array of goods and services from around the globe, and the retail sector boosts employment and the country’s economy. As the studys title suggests, the goal is to look into the Opportunities and Challenges for Indian retail stores and their Marketing strategy. Design/Methodology/Approach: The secondary data for this paper was gathered from a range of sources about the opportunities and challenges of retail stores and their marketing strategies, including research papers, journal articles, and literature reviews. These sources were found by searching for relevant keywords in the Google Scholar search engine, finding relevant websites, and gathering additional information from reports on the opportunities and challenges of retail stores in India. Findings: Price wars among competitors can erode profit margins and negatively impact the industry. Retail stores need to find ways to differentiate themselves beyond just price, such as by offering superior customer service or unique product selections. Retailers can analyse sales data to identify trends, such as which products are selling well and at what times of the year. Understanding the age, gender, and preferences of customers can help tailor marketing and product offerings. Finding out if there is excess stock, understocking, or slow-moving items is crucial for efficient inventory management. Collecting and analysing customer feedback can reveal areas for improvement in customer service or product quality. Originality/Value: A research-based case study on analysis of the opportunities and challenges for Indian retail store and their marketing strategy. Paper Type: Research Case Study KEYWORDS: Opportunities and challenges, Retail store, Profit Margins, Marketing Strategy, Preferences, SWOT Analysis.

Emotional Labour and Corporate Vitality of The Nigerian Hospitality Sector in Yenagoa, Bayelsa State

This paper examined the relationship between emotional labour and corporate vitality of the Nigerian hospitality sector in Yenagoa, Bayelsa State. The researcher adopted a correlational survey design as it measures the link between two variables. A sample size of one hundred and fifty (150) participants were drawn from a population of two hundred and forty (240) with the aid of the Taro Yamane formula. The simple random sampling technique was used and a questionnaire was designed carefully to elicit data. The Pearson Product Moment Correlation Coefficient was adopted to test the hypotheses with the aid of the Statistical Package for Social Sciences (SPSS) version 28. The results showed a week significant relationship between surface-level behaviour and corporate vitality. It was revealed that deep-level and genuine behavior have a strong and positive relationship with corporate vitality. The researcher concludes that there is a relationship between emotional labour and corporate vitality. However, it recommends that the management of hotels should create a work culture that promote positive emotional values, safety and feelings that will lead to improve customer service in such a way that surface-level behavior does not affect the worker and managers should serve as role models by displaying genuine behavior in their interactions with employees and customers.

Цифровая трансформация логистики предприятия с использованием цифровых двойников

Effective management of logistics processes in an environment of rapid change is becoming a prerequisite for increasing the competitiveness of enterprises and improving customer service. The purpose of the article is to identify the features of digital transformation in logistics using digital twin technologies, as well as the advantages that such transformations can give us. Digital twins provide the ability to manage physical assets such as warehouses, equipment, and vehicles optimally to improve resource utilization and reduce costs. The research methodology is based on a systematic approach used in the analysis of complex economic systems, and uses general scientific methods of cognition: analysis, comparison, logical reasoning, fact collection, synthesis, as well as a structural approach. The features of data exchange between the logistics system and its digital twin are dis-cussed. The barriers that the implementation of digital transformation of logistics and the use of digital twins currently face are considered, and approaches to overcome these barriers are proposed. Digital twins have been shown to be a powerful tool that can be used to model and analyze logistics processes, allowing logistics companies to improve their performance, reduce risks and improve cus-tomer service. It is concluded that, in the long term, the efforts invested in the implementation of these technologies can increase the productivity and competitiveness of companies significantly in the modern digital economy. Directions for further research should be related to the analysis of suc-cessful experience in implementing the digital transformation of logistics using digital twins and the proposal of frameworks for optimizing efforts and costs during their implementation.

ТЕХНОЛОГИЯ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В БАНКИНГЕ

The article examines the prospects for the use of artificial intelligence (AI) in the banking sector, taking into account current trends and technological advances. The review presents the main directions of using AI in the banking sector, including automation of processes, personalization of services, fraud prevention, improvement of customer service and forecasting market trends. Current problems and challenges are considered, as well as prospects for further development and integration of AI into banking.

A fuzzy Pythagorean TODIM method for sustainable ABC analysis in inventory management

This paper aims to improve the ABC analysis method used for inventory management by applying the Pythagorean Fuzzy TODIM approach. ABC analysis is one the well-known and widely used inventory classification techniques which divides inventory items into three categories according to their importance and value. However, the traditional ABC analysis does not consider the imprecision and vagueness of real-world inventory data, which can lead to inaccurate results and poor inventory management decisions. The proposed approach enhances the traditional ABC analysis by incorporating fuzzy numbers to be considered in real-world inventory data. The improved ABC analysis helps companies to optimize inventory levels, reduce costs, improve customer service, and increase overall operational efficiency. To check for the reliability and effectiveness of the developed model under different scenarios sensitivity analysis is conducted. Additionally, the comparative analysis among other existing models further demonstrates the model's accuracy. The model prepared shows that the Pythagorean Fuzzy TODIM approach is superior to the conventional ABC analysis in terms of reliability and dealing with the uncertain inventory data. Overall, this paper provides a novel and effective approach to inventory management and offers valuable insights for practitioners and researchers in the field.

Study of a fuzzy logic-based approach to supplier selection

Because of globalization, huge competition is existed among the manufacturing organizations to survive their production into the global market. Today’s global market customer generates dynamic demands which further forces the organizations to respond them quickly. The main aim of supply chain management is to give maximum focuses on the aspects of the customers like improved customer service, performance of business, and more profitability too. The process of supplier selection is considered as one of the important decision making process at the strategic level of an organization. It is expected to have a improved partnership with the better suppliers at strategic stage which will expected to yield the improved quality, improved flexibility and also will reduces the lead time of the product. This project work addresses the aspects and issues for enabling the process of supplier selection. For this a new comprehensive technique called as fuzzy simple multi attributes rating technique (Fuzzy SMART) is strategically aligned with the fuzzy logic and same concept will be applied to enable the process of supplier selection.

Технологии искусственного интеллекта для эффективного управления запасами

The article examines modern methods of applying artificial intelligence (AI), including machine learning and computer vision, in inventory management. Real-world examples of using regression models, time series, convolutional neural networks, and clustering algorithms for inventory optimization are described. Special attention is given to the role of autonomous mobile robots in enhancing warehouse operations, reducing costs, and improving safety. The impact of AI technologies on reducing operational risks, improving customer service, and maintaining enterprise competitiveness is analyzed. The importance of personnel training and system integration for the successful implementation of AI is emphasized.

Embrace Digital Tools to Enhance Water Utility Operations

The digital revolution continues to extend benefits to water utilities through powerful and expansive data management, fostering collaboration across operations, maximizing utility assets, and improving customer service.

CУЧАСНИЙ СТАН РЕЗУЛЬТАТИВНОСТІ ТАКТИЧНОГО УПРАВЛІННЯ В ДІЯЛЬНОСТІ СУБ’ЄКТІВ Е-БІЗНЕСУ

In modern economic conditions, e-business plays a key role in both national and global economies, where technological innovations and rational management determine the success of companies. Let's consider the effectiveness of tactical management by e-business entities, focusing on contemporary challenges and opportunities organizations face. The article argues that in today's world of e-business, the qualification and competence of personnel are crucial for adapting to and utilizing cutting-edge technologies. These aspects are key to ensuring high productivity and innovation in companies. Through the implementation of technological solutions such as CRM systems and automated marketing platforms, it has been proven that e-business can significantly increase its efficiency and enhance customer loyalty. It is argued that the ability to innovate and explore new market niches also greatly depends on the staff's ability to adapt to rapidly changing conditions. In this context, investments in skill development and knowledge of employees are critically important to support competitiveness and sustainable growth of companies. Thus, the effectiveness of management in the e-business sector is determined by a comprehensive approach to staff development and integration of advanced technologies, allowing companies not only to survive but also to thrive in a dynamic business environment. The development of tactical management in e-business reflects global trends and market demands, where innovation and the ability to quickly respond to changes are crucial for success. A comprehensive approach to staff training, integration of modern technologies, and the use of advanced data analysis methods form the foundation for developing solutions that effectively address complex challenges and improve customer service. In this context, it is critically important to understand not only the internal processes of the company but also the dynamics of the external market environment, enabling adaptation to constant changes and leveraging them for the benefit of the business. Thus, effective tactical management becomes a decisive factor in maintaining stable development and growth of e-business, relying on deep analysis and strategic planning. Therefore, tactical management in e-business, based on a profound understanding of innovative technologies, staff qualification, and external economic conditions, can significantly enhance the efficiency of business processes and ensure long-term success of companies in e-commerce.

Управління лояльністю споживачів в контексті диджиталізації як засіб підвищення фінансової стійкості компанії

The article highlights the issue of forming and managing customer loyalty in the service sector by using digital tools. The importance of customer loyalty as one of the most powerful components of an enterprise’s intellectual capital is emphasized. The types of loyalty are characterized according to the criteria of attitude to the brand (positive/negative) and the frequency of repeated transactions (absolute, hidden, false, zero). Loyalty indicators and how to calculate them are covered: customer retention rate, customer long-term value, Net Promoter Score, customer satisfaction surveys, customer effort evaluation, cause and effect questions, repeated purchases and referrals, engagement. It was noted that among the various types of loyalty (bonus program, fixed discount, temporary discount, multi-level discount program, product as a gift, partner loyalty program, paid loyalty program) the non-commercial program deserves the most attention, because in the long term it forms and testifies to absolute customer loyalty. The main types of loyalty management in the context of digitalization include transactional, social-network, related to the influence on engagement, emotions, consumer behavior, and intentions to recommend a service. It is emphasized that automated systems, such as software for managing business processes and online services for booking procedures, are becoming an integral part of modern beauty salons and offer a wide range of possibilities: online booking for services through a website or mobile application, reminders about visits by messages or e-mail; a calendar of appointments for services with the possibility of synchronization with personal calendars of beauty masters; automatic control of consumables balances, formation of supply orders, cash book management, income and expense accounting, profitability analysis; newsletters about promotions and special offers, maintenance of pages in social networks; storage of information about customers, their preferences, history of visits through the CRM system. The positive consequences of using automation in beauty salons include increasing efficiency and productivity, improving customer service, increasing profitability, expanding marketing and advertising opportunities, improving ratings and reviews, but among the negative ones, we single out dependence on technology, loss of personal contact, and threats to data privacy. A developed set of advertising events with seasonal specialization using online tools (conducting master classes and virtual consultations, seasonal loyalty programs, charity initiatives, promotions for special dates) is presented.

The revolution of IT technologies in the transport economy: application and essence

The article focuses on the study of the use of information technology (IT) in the transport economy and its impact on this industry. The main objectives of the study were to identify key technological trends in the transport industry, analyse their advantages and challenges, as well as assess the prospects for the development of IT technologies in this area. Based on the literature review and analysis of existing technological solutions, the following results were identified: IT technologies can improve the efficiency and safety of transport systems, reduce the negative impact on the environment and improve customer service. However, there are several challenges, such as data security issues, standardization and regulation, that require attention and solutions. The study highlights the importance of developing and integrating IT technologies into the transport economy and warns of the need for a balance between innovation and regulation. In general, the development of IT technologies in the transport industry promises to create a smarter, more stable and convenient system, contributing to improving the quality of life and economic growth.

Application of gamification in work environment

Introduction: preliminary findings clearly suggest that games and gamified systems have motivational potential for workplaces. The use of gamified systems in work environments could be a positive and innovative solution to address contemporary problems in organizations such as: high levels of stress, reduced social capital, reduced loyalty and rapid changes in workforce demographics. The objective was to characterize the application of gamification in the work context. Method: a total of 23 articles in Spanish and English, from Science, Scielo and Dialnet, were reviewed; using as keywords: gamification, game, work environment, being more than 50 % of the last five years. Result: it is considered a technology with a potentially high impact in industries such as retail, media, consumer goods and marketing, manufacturing. Gamification in intra-organizational environments can affect employee attitudes and behaviors, make workplaces more attractive, create opportunities for productive collaboration, improve customer service, build loyalty, and increase productivity. Conclusions: gamification in the work environment uses game-like experiences to promote organizational and personal performance; It seems to be associated with improvements in motivation, productivity, performance, immediacy and remuneration according to true effort. However, its degree of applicability is still unclear.

STRATEGIC MANAGEMENT OF TRANSPORT ENTERPRISES IN THE CONDITIONS OF DIGITALIZATION OF SOCIETY

Abstract. The article presents aspects of strategic management. The scientific opinion of the conceptual apparatus "strategic management" has been studied. Defined own opinion on strategic management in the conditions of digitalization. Formulating strategies that take into account the opportunities and challenges of digital transformation, including the introduction of new technologies, the development of digital products and services, as well as changes in the way of interaction with customers and partners. The article examines aspects of the modern information space. The impact of digitalization on the activities of transport enterprises is determined. The transport industry can easily be classified as one of the areas of economic activity that is most amenable to digitalization. It has been proven that the strategic management of transport enterprises in the conditions of digitalization of society and the war in Ukraine can have a significant impact on their activity and development. Based on this, a model of strategic management of the development of transport enterprises in the conditions of digitalization was proposed. This model will allow transport enterprises to effectively use digital technologies to optimize processes, improve customer service and ensure competitiveness. Keywords: strategic management, transport enterprises, digitization, digitization, Internet space.

ВПРОВАДЖЕННЯ ІННОВАЦІЙНИХ ТЕХНОЛОГІЙ В ЛОГІСТИЧНІЙ ДІЯЛЬНОСТІ

This study examines the need to introduce innovative technologies into logistics processes to ensure efficiency, reduce costs, improve customer service, and maintain competitiveness in today's globalized environment. The main trends in the development of the world economy indicate the growing importance of logistics as a key element of ensuring the competitiveness of enterprises. In the conditions of globalization and digital transformation, traditional methods of managing logistics processes no longer meet modern requirements. Therefore, the issue of introducing innovative technologies, such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, automation and robotics, which allow to significantly increase the productivity and efficiency of logistics systems, is relevant. The significance and relevance of this research is explained by several important reasons: Insufficient integration of innovative technologies into logistics processes; Lack of standards and methodologies; Data security and privacy; Lack of effectiveness studies. Therefore, the study of the development and implementation of innovative technologies in logistics activities is a necessary step to ensure the competitiveness of enterprises in the conditions of the modern economy. Solving the above-mentioned problems will help increase the efficiency of logistics processes, reduce costs and improve the quality of customer service, which, in turn, will positively affect the development of business and the economy as a whole. Therefore, the study highlights key innovative technologies such as the Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML), blockchain, automation and robotics, and big data and analytics. Analyzing the advantages and disadvantages of each technology, the study offers recommendations for successfully integrating innovations, including developing strategies, investing in training, ensuring cybersecurity, and integrating technologies with existing systems. Particular attention is paid to the barriers that Ukrainian enterprises may face, such as economic, infrastructural, technical, regulatory, social and security-related challenges, and the need for an integrated approach to overcome them is indicated. The results of the study confirm that the active implementation of modern innovative technologies can significantly improve the quality of logistics operations and contribute to the sustainable development of enterprises in Ukraine and on the global market.

Transforming the Operational Components of Marketing Processes with GenAI: A Paradigm Shift

Generative Artificial Intelligence (GenAI) is transforming marketing through advanced content creation, personalized customer interactions, and strategic optimization. This study explores GenAI’s impact on marketing processes, current applications, and related ethical and strategic challenges. A meta-analysis of the existing literature was conducted, focusing on GenAI integration in marketing. Relevant research was collected from various databases and rigorously evaluated, with case studies illustrating practical applications and benefits. The findings show that GenAI enhances marketing efficiency by automating content creation, improving customer service, and optimizing strategies using specialized AI tools. However, GenAI’s use is currently fragmented, focusing more on operational than strategic tasks. This study underscores the necessity for a comprehensive and integrated approach to fully leverage the potential of GenAI in marketing processes, with the intention of effecting a paradigm shift, particularly in operational marketing tasks. Future research should focus on developing integrated GenAI solutions that comprehensively address all facets of the marketing process, including strategic decisionmaking, ethical and regulatory considerations, and long-term impact assessment, while exploring innovative applications and optimizing existing technologies to fully harness GenAI’s potential in driving a holistic digital transformation of marketing.

Brand awareness and its influence on repeat customers in the airline industry

India’s aviation industry is seeing growth, and the country is host to several domestic airline firms.In India, the domestic aviation industry is predominantly composed of private airlines, accounting for over 75% of the market, making it one of the aviation markets with the highest growth rates globally. Currently, there are 454 functioning airports in the country, out of which 16 are international airports. The aviation sector is projected to have a resurgence with an anticipated compound annual growth rate (CAGR) of 18% in 2011. The Civil Aviation Ministry’s current predictions indicate that increasing traffic movement and revenues—which climbed by about US$ 21.4 million in 2009—will enable India’s Airports Authority to create higher margins in 2009–2010. Acknowledging and. Recognizing and delivering high-quality service begins with knowing exactly what clients want. Service quality is one of the finest measures for assessing the opinions and expectations of clients. Customer performance within an organization determines customers satisfaction with services. Passenger happiness affects customer sovereignty. It is possible for customers to be really satisfied and still not be loyal, or vice versa. Companies need to have a deeper understanding of the relation between online behaviour and contentment in order to divide internet marketing tactics between programs that promote behavioural intention and happiness. The findings will benefit airline managers by enabling them to monitor and improve the quality of their workforce, improve customer service, and increase passenger satisfaction. In India, buying airline tickets again and again is rather usual, particularly for business or frequent visitors. Numerous domestic airlines in India have frequent flyer and loyalty programmes as a means of encouraging consumers to keep using them when making travel reservations. Furthermore, a lot of Indian travellers buy their flights using online travel agents (OTAs), which make it simple for consumers to compare options and costs across several airlines. To entice users to make additional reservations, these OTAs frequently provide cashback or discount incentives for recurring bookings. Furthermore, a lot of Indian airlines entice customers to buy tickets with them again and again by providing a range of promotional deals, discounts, and cashback incentives at different periods of the year. In general, Indians frequently buy plane tickets again and are influenced by loyalty programs, frequent flyer programs, discounts, cashback offers, and the ease of booking through online travel agencies.

Embracing Social Media as Business Marketing Tool: Its Use, Opportunities, and Challenges for Micro Businesses

The purpose of this study was to analyze the use, opportunities, and challenges of micro-business marketing tools. A valuable marketing tool for micro businesses looking to engage clients and build their business. Social marketing theory aims to merge marketing ideas, principles, tools, strategies, and socially useful concepts to enhance communication and benefit society. This study used a descriptive quantitative research method, with 246 participants filling out survey questionnaires and sharing their thoughts on the usage of social media in micro-business. To provide an overview of impact assessments, a quantitative and subjective questionnaire created by the researcher was employed. Furthermore, the study found that micro-business owners strongly recognize Social media as a powerful tool for micro-business, recognizing its positive impact on business growth, cost reduction, and customer service improvement, and despite acknowledging persistent challenges such as competition and trust issues, the finding emphasizes the potential for Social media to create new opportunities.

AI Applications in Emotion Recognition: A Bibliometric Analysis

This paper conducts a preliminary exploration of Artificial Intelligence (AI) for emotion recognition, particularly in its business applications. Employing adaptive technologies like machine learning algorithms and computer vision, AI systems analyze human emotions through facial expressions, speech patterns, and physiological signals. Ethical considerations and responsible deployment of these technologies are emphasized through an intense literature review. The study employs a comprehensive bibliometric analysis, utilizing tools such as VOSViewer, to trace the evolution of emotion-aware AI in business. Three key steps involve surveying the literature on emotion analysis, summarizing information on emotion in various contexts, and categorizing methods based on their areas of expertise. Comparative studies on emotion datasets reveal advancements in model fusion methods, exceeding human accuracy and enhancing applications in customer service and market research. The bibliometric analysis sheds light on a shift towards sophisticated, multimodal approaches in emotion recognition research, addressing challenges such as imbalanced datasets and interpretability issues. Visualizations depict keyword distributions in research papers, emphasizing the significance of “emotion recognition” and “deep learning.” The study concludes by offering insights gained from network visualization, showcasing core keywords and their density in research papers. Based on the literature, a SWOT analysis is also conducted to identify the strengths, weaknesses, opportunities, and threats associated with applying emotion recognition to business. Strengths include the technology’s high accuracy and real-time analysis capabilities, enabling diverse applications such as customer service and product quality improvement. However, weaknesses include data bias affecting the AI model’s quality and challenges in processing complex emotional expressions. Opportunities lie in the increasing number of studies, market size, and improving research outcomes, while threats include privacy concerns and growing competition.