Customer Management Research Articles

A deep learning framework optimised by Harris Hawks algorithm for intelligent ECG classification in WSN-IoT environment

Nowadays, WSN-IoT may be used to remotely and in real-time monitor patients’ vital signs, enabling medical practitioners to follow their status and deliver prompt treatments. This equipment can evaluate the gathered data on-site thanks to the integration of edge computing, enabling quicker diagnostic and medical options with the need for massive data transmission to a centralized server. Making the most of the resources accessible without sacrificing monitoring efficiency is critical due to the constrained lifespan and resource availability that these intelligent devices still encounter. To make the most of the assets at hand and achieve excellent categorization performance, intelligence must be applied through a learning model. Making the most of the resources that are available without sacrificing performance monitoring is essential given the restricted lifespan and resource availability that these intelligent devices still suffer. A learning model must incorporate intelligence in order to maximize the utilization of resources while maintaining excellent classification performance. In this study, a unique Harris Hawks Optimized Long Short-Term Memory (HHO-LSTM) that categorizes Electrocardiogram (ECG) data without compromising optimum utilization of resources is proposed for Edge enabled WSN devices. We will train the model to correctly categorize various kinds of ECG readings by employing cutting-edge techniques and neural networks. Significant testing is carried out on fifty individuals utilizing real-time test chips with integrated controllers coupled to ECG sensors and NVIDIA Jetson Nano Boards as edge computing devices. To show the benefits of the suggested model, performance comparisons with various deep-learning techniques for peripheral equipment are conducted. Experiments show that in terms of classification results (98% accuracy) and processing expenses, the suggested model, which is based on Edge-enabled WSN devices, beat existing state-of-the-art learning algorithms. The ability of this technology to help medical personnel diagnose a range of heart issues would eventually enhance customer management.

Improvement of an order-to-cash business process by deploying lean six sigma tools: a case study

PurposeThis study is focused to support an ongoing development project of the case company's current state and the challenges of the order-to-cash (O2C) process. The O2C process is the most visible process to the customer, and therefore, its punctual and fluent order management is vital. It is observed that the high degree of manual work in the O2C process causes mistakes, delays and rework in the process. The purpose of this article is therefore to analyze the case company's current state of the O2C process as well as to identify the areas of development in this process by deploying the means of Lean Six Sigma tools such as value stream mapping (VSM).Design/methodology/approach The study was conducted as a mix of quantitative and qualitative analysis. Based on both the quantitative and qualitative data, a workshop on VSM was organized to analyze the current state of the O2C process of a case company, engaged in the energy and environment sector in Finland.Findings The results found that excessive manual work was highly connected to inadequate or incorrect data in pricing and invoicing activities, which resulted in canceled invoices. Canceled invoices are visible to the customer and have a negative impact on the customer experience. This study found that by improving the performance of the O2C process activities and improving communication among the internal and external stakeholders, the whole O2C process can perform more effectively and provide better customer value.Originality/value The O2C process is the most visible process to the customer and therefore its punctual and fluent order management is vital. To ensure that the O2C process is operating as desired, suitable process performance metrics need to be aligned and followed. The results gathered from the case company's data, questionnaire interviews, and the VSM workshop are all highlighted in this study. The main practical and managerial implications were to understand the real-time O2C process performance, which is necessary to ensure strong performance and enhance continuous improvement of the O2C process that leads to operational excellence and commercial competitiveness of the studied case company.

Analysis of Customer Management of Commercial Banks

At present, most traditional commercial banks tend to design products based on their own interests and use universal standards to issue loans to customers. They rarely provide customized and personalized services based on the actual situation of customers, or not even trying to understand customers’ financial service needs. From the perspective of customer relationship management, there are still many problems and areas for improvement. This paper takes the JB branch of the Bank of Ningbo in China as an example. By sorting out the customer relationship management theory, this paper organizes and categorizes the research results on customer relationship management of commercial banks and proposes that commercial banks should provide customized and personalized services for different customer groups. The theoretical basis of services is designed to provide reference for the modern development of commercial banks.

Assessment of Potential SMEs Projects to Sustainable Success

This research aims to evaluate the project’s success from the stakeholders in creating sustainable outcomes and identify the problems and obstacles in the development of online marketing projects. The study takes a mixed-method approach, obtaining information from three distinct groups of people: customers (through qualitative research), business owners (through quantitative research), and government officials and municipal administrators (through qualitative research). This study highlights the imperative of incorporating the collective efforts of all three groups to enhance the likelihood of achieving success and maintaining the project’s long-term viability. Previously, the absence of collaborative management has resulted in the misallocation of resources toward resolving issues that were not aligned with the intended objectives. Upon examination of the business owners, it was discovered that implementing additional sales channels gave a notable and favorable outcome. The project evaluation using the CIPP model revealed that the processes implemented for customer management were deemed of exceptional quality. Critical difficulties and challenges were also noted, such as the requirement for business owners to possess IT skills to produce compelling media and the customers’ desire for a user-friendly platform design. In the public sector, it is found that the government should evaluate entrepreneurial endeavors to find those deserving of continued development. Other recommendations for this study include offering support as a best practice and developing long-term evaluation standards.

Interpretable transformer-based model for probabilistic short-term forecasting of residential net load

Short-term residential load forecasting is of great significance for the demand-side energy management of the grid and the home energy management of resident customers. The massive penetration of distributed renewable energy, especially small-scale solar photovoltaic (PV), in the residential sector urgently requires us to move from traditional load forecasting to net load forecasting. In recent years, deep learning techniques that can improve model forecasting performance have developed rapidly in the field of residential load forecasting. However, the opaque nature of deep learning makes its practical application very difficult. This paper proposes a Transformer-based probabilistic residential net load forecasting method that utilizes quantile regression to quantify uncertainty in future load demand. Meanwhile, to improve the interpretability of deep learning model, local variable selection network is developed to automatically select relevant features and provide feature-level explanations. Additionally, interpretable sparse self-attention mechanism is proposed to extract long-term temporal dependencies. Numerical experiments are carried out with data from real household smart meters. The results show that the proposed model outperforms other state-of-the-art forecasting models. In terms of point forecasting, compared with the most common deep time series forecasting model LSTM, the proposed model decreases by 21.3%, 27.3% and 20.9% On three point forecasting performance metrics. Compared with Vanilla Transformer, the proposed InterFormer decreases by 9.9%, 10.5% and 9.0% On three point forecasting performance metrics. In terms of probabilistic forecasting, compared with LSTM and Vanilla Transformer, the average pinball loss of the proposed model decreases by 26.2% and 17.0%, respectively. Additionally, and most importantly, our model provides users with explanations in terms of feature importance and temporal patterns.

Landing on Tata runway for a rapid takeoff: Air India beyond 2021

Learning outcomes The case study highlights two strategic angles – that of the business unit (business strategy, profitability, market leadership. organizational culture, operational turnaround, industry structure and competitive dynamics) and the owner (returns, repositioning strategy and funding plan). By the end of this case study, students would be able to understand the changing competitive forces of a dynamic industry; analyse the circumstances leading to a change in the control of a firm from the state to the private sector; understand the logic of acquiring a perennially loss-making firm operating in a volatile environment without a unique strategy; identify a firm’s strategic and operational choices for financial turnaround, return to profitability and regaining market leadership; and learn about the actual strategic realities and choices confronting a troubled business organization in a difficult industry. Case overview/synopsis When the Tata Group took over Air India on 27 January 2022 from the state that had ownership for 68 years, Air India was under a long spell of poor performance, bleeding losses and unmanageable levels of debt. Unsatisfactory customer service, management issues and competition were the key reasons. Therefore, a crucial question facing the group’s Chairman N. Chandrasekaran was what workable strategy he could use to reposition Air India and make it profitable again so as to recover the $7.5bn of estimated investment involved in the acquisition and turnaround. Complexity academic level This case study is intended for undergraduate and graduate executive education levels in business administration and management and allied subjects, particularly for courses in strategic management, marketing, financial management, turnaround and transformation, mergers and acquisitions and organizational change. Supplementary materials Teaching notes are available for educators only. Subject code CSS 11: Strategy.

Can Robotic Process Automation Technology Enable Risk Data Analysis for Customs’ Post-Clearance Audit: A China Customs Case Study

With the diversified application of big data, cloud computing, artificial intelligence (AI) and other technologies in various management scenarios, technology-enabled management has received more and more attention. Robotic process automation (RPA) refers to business process software technology applied in various industries, including the accounting and auditing industry, to automate well-defined, repetitive tasks. However, its application in customs management has lagged because of the unique nature of this field. This study outlines the introduction of RPA technology into post-clearance audit, discusses the concept, functions, foundations and application values, constructs a framework model and explains its research and development (R&D) process. The application and implementation of RPA is elaborated using unit consumption data analysis.

헤어지식수준과 헤어 NCS모듈숙련도 및 직무수행능력 관계 연구

Objectives The purpose of this study is to analyze the effect of hairdressers' hair knowledge level and hair NCS module proficiency on job performance.
 Methods A survey was conducted among 203 hairdressers. The sub-factors of the hair knowledge level were composed of service knowledge, theoretical knowledge, and technical knowledge, and the sub-factors of hair NCS module proficiency were composed of hygiene business management, practical skills management, and beauty customer management, and the validity of the factors was tested for NCS module proficiency and job performance, and the relationship between the factors was analyzed.
 Results Practical-oriented education was highly efficient when applied to the field, and the acquisition of theoretical knowledge applicable to the field was insufficient, and NCS education was useful for preparing for the certification exam, and it helped to improve the ability to apply beauty technology, and there was a disadvantage that it could not keep up with the change in trend. Among the hair knowledge levels, the level of service knowledge was high, and theoretical and technical knowledge was perceived as high if they were in their 30s, college education, 3-6 years of experience, and professional hairdressers, and theoretical and technical knowledge were perceived as low if they were high school, less than 1 year of experience, and interns. Hygiene management was the lowest among NCS module proficiency, and those in their 30s, graduate school, 7 years or more of experience, and professional cosmetologists were highly recognized for practical technical management and hygiene career management. In the case of people in their 40s with a lot of cosmetology experience, more than 7 years of experience, and directors, job performance affected job performance in the order of technical knowledge, among which technical knowledge had a positive (+) effect and theoretical knowledge had a negative (-) effect.
 Conclusions Hair NCS module proficiency and job performance were higher with higher education and experience, and in the hair salon field, technical knowledge had a more positive effect on job performance than theoretical knowledge. Therefore, it will be necessary to supplement the theoretical knowledge required in the field and add educational programs such as technical knowledge and hygiene management to improve job performance.

A performative perspective on sensing, seizing, and transforming in small- and medium-sized enterprises

ABSTRACT This study investigates organizational sensing, seizing, and transforming, which are critical activities in developing and exercising dynamic capabilities (DCs)––an organization’s capacity to reconfigure its resources in response to a changing environment. Previous research on small- and medium-sized enterprises (SMEs) has predominantly focused on well-established business processes that are considered functional DCs, including product development, portfolio planning, and customer management, highlighting their role in facilitating resource reconfiguration. However, these studies implicitly assume the existence of functional DCs, without explaining what contributes to their development. We build on recent theoretical arguments emphasizing the performative dimensions of the DC construct and examine how SME practitioners sense and seize opportunities and threats, and subsequently transform their resources and operations. Our findings highlight a series of practices employed in ongoing social interactions to develop functional DCs or reconfigure established routines. These practices are situated in social interaction contexts characterized by distinct modes of communication, including resonance, generativity, and call for action. By offering a communicative explanation of the performance and dynamization of sensing, seizing, and transforming, this study underscores the pivotal role of interpersonal dynamics in facilitating resource reconfiguration.

Detecting Routines: Applications to Ridesharing Customer Relationship Management

Routines shape many aspects of day-to-day consumption. While prior research has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which the authors define as repeated behaviors with recurring, temporal structures—for customer management. One reason for this dearth is the difficulty of measuring routines from transaction data, particularly when routines vary substantially across customers. The authors propose a new approach for doing so, which they apply in the context of ridesharing. They model customer-level routines with Bayesian nonparametric Gaussian processes, leveraging a novel kernel that allows for flexible yet precise estimation of routines. These Gaussian processes are nested in inhomogeneous Poisson processes of usage, allowing the authors to estimate customers’ routines and decompose their usage into routine and nonroutine parts. They show the value of detecting routines for customer relationship management in the context of ridesharing, where they find that routines are associated with higher future usage and activity rates, and more resilience to service failures. Moreover, the authors show how these outcomes vary by the types of routines customers have, and by whether trips are part of the customer's routine, suggesting a role for routines in segmentation and targeting.

Developing and tailoring business process management methods using the situational method engineering approach

Effective business process management is one of the key tasks of every organization if it wants to compete successfully on the market and satisfy the needs of its customers. Although there are many established best practices, techniques, and more or less complex methods in business process management, no approach can fulfill a typical organization’s needs and wants. The key to success lies in developing new or adapting existing approaches for business process management to suit the unique characteristics of individual organizations and projects. This demands a solid methodological framework and a clearly defined work process. The aim of the paper is to apply situational method engineering concepts within the realm of business process management, thereby tackling the challenge mentioned above. As a result, a situational method engineering framework is defined to construct and customize business process management methods. The study proposes the conceptual foundations of the framework and a set of processes for constructing holistic and tailored methods that cover various aspects of business process management (analysis, modeling, management, etc.). The basis of the framework is represented by general method components at a higher level of abstraction, which are assembled into holistic methods via interfaces and are transformed into versions adapted to specific situations using tailoring rules. The practical applicability of the proposed framework is validated through its implementation in a project at a large manufacturing company, where it is used to develop both a general and customized business process management method.

Role of Artificial Intelligence Across Various Media Platforms: A Quantitative Investigation of Media Expert's Opinion

Objective: The main purpose of the study is to know factors that determine the role of Artificial Intelligence and its impact across various media platforms.
 
 Method: The study had considered 213 media experts (respondents) among which the survey was conducted to know the role and impact of Artificial Intelligence across various media platforms.
 
 Results: Results showing that all the factors namely Customer management, Data management and Marketing having significant impact on “Overall impact of Artificial Intelligence across various media platforms” except the factor “Control information” showing insignificant but positive impact across various media platforms.
 
 Conclusion: This research endeavors to contribute to the burgeoning discourse on AI's role across various media platforms. The study concludes that there is a significant impact of Artificial Intelligence across various media platforms. The findings of this study can inform media professionals, researchers, and policymakers about the tangible impacts of AI, facilitating informed decision-making and fostering continued innovation within the media industry.

Analisa Performasi Terhadap Implementasi Pengelolaan Pelanggan Bisnis (Korporasi) Melalui Metode Balance Scorecard Pada Divisi Enterprise PT.Telkom Indonesia (Persero), Tbk Indonesia (Persero), Tbk

This study analyzes the performance of the implementation of business (corporate) customer management in the Enterprise Division of PT Telkom Indonesia (Persero), TBK Indonesia (Persero) Tbk using the Balance scorecard method. Data were collected by observation, interviews and documentation. The data were analyzed using qualitative methods. Data were collected by observation, interviews and documentation. The data were analyzed using qualitative methods. The purpose of this study is to see how the implementation of PT Telkom Indonesia (Persero), TBK Indonesia (Persero) Tbk's business customer management implementation, as a customer-oriented business strategy so that it can adapt to changes in the telecommunications industry that take place very quickly. From the results of the study, it was found that the performance analysis of the implementation of business customer management of PT Telkom Indonesia (Persero), TBK Indonesia (Persero) Tbk, using a balance scorecard showed a Positive Value (GOOD), where from a financial perspective it was obtained that the achievement of Rev 106% of the target (period of 2022) and the value of sales achievement of 122% of the target (period of 2022), the perspective of customers with one of the main parameters is the achievement of the CSLS index (customer loyalty index) worth 83.4%, the perspective of internal business processes is carried out by implementing a number of Business Process Digitalization so that it is more compliant and effective (lean), and the perspective of active learning and growth is carried out through Knowledge Sharing and Success Story to accelerate HR learning, so that in general BSC performance is above 100%, which is very potential to maintain business sustainability and capital to continue to carry out growth strategies.
 Keywords: Customer management, business (corporate) customer, balance scorecard, financial perspective, customer perspective, internal business process perspective, learning and growth perspective.

Customer management in B2B markets in the context of digitalization

The article is devoted to the problem of improving customer management in B2B markets in the context of digitalization. By analyzing the literature on the issues under study, the authors identified the main factors contributing to the transition from managing key customers to managing all the company’s customers in order to identify prospective customers, their development and strengthening relationships. Customer management based on the initial segmentation of customers, and then interaction with them in accordance with their position lead to a significant improvement in productivity. The analysis of foreign studies, as well as the survey conducted within the framework of this study, made it possible to justify the need to use modern strategies for managing key clients and marketing managing. The article identifies and systematizes the factors contributing to the effective implementation of strategies for managing key clients and marketing in the practical activities of modern companies, and also a questionnaire has been developed. The analysis of the research, in turn, revealed promising areas in the management of all the company’s clients, such as the gradual introduction of digital marketing methods, the use of technological advances (artificial intelligence and cloud computing), the provision of more personalized experience, the creation of scalable strategies, the development and implementation of domestic digital platforms for managing all the company’s clients.

Online Order Management System

Abstract: Our proposed online order management system is a platform that provides sellers with a comprehensive overview of their stock and orders. The platform streamlines the order management process, allowing the seller to view and manage their products and stocks with ease. Unlike traditional online order management systems, our platform goes beyond basic stock management and incorporates two machine learning algorithms to improve the seller's efficiency and profitability. The first machine learning algorithm provides the seller with insights into the popularity of a particular product category during a specific month. By notifying the seller of trends, they can better plan their stock levels to maximize profits. For example, if a seller notices that a particular product category is in high demand during the holiday season, they can increase their stock levels to meet the increased demand and maximize their profits. The second machine learning algorithm dynamically sets prices for the seller's products based on factors such as demand, date, and product category. This algorithm takes into account market trends and consumer behavior to set a price that is both competitive and profitable for the seller. For example, if a particular product is in high demand during a particular day, the algorithm will adjust the price to reflect the increased demand and allow the seller to sell the product at a higher price. In addition to these two machine learning algorithms, our online order management system includes a range of other features to help sellers manage their business effectively and efficiently. This includes order tracking, stock management, and customer management, all of which can be accessed from a single dashboard. The implementation of these machine learning algorithms is a crucial aspect of our online order management system, as they allow sellers to make informed decisions about their business. By using data and insights to optimize stock levels and pricing strategies, sellers can maximize their profits and minimize their losses. It is a comprehensive platform that provides sellers with the tools they need to manage their business effectively and efficiently.

수산업을 통한 지역사회의 연대활동과 글로벌 수산식품 유통 네트워크

This paper examines the historical background and characteristics of the Guryongpo fishery industry, and analyzes the local community’s solidarity activities through the fishery industry, focusing on the big catch festival hosted by the Guryongpo Fisheries Cooperative and the Guamegi Festival hosted by the Pohang Guryongpo Guryongpo Catfish Business Cooperative. In addition, the global distribution network of Guryongpo’s representative seafood was first examined through newspaper articles, and the Gupaegi distribution network was analyzed through interviews with Gupyongpo overseas exporters to further understand the local situation.
 The Guryong Po Fisheries Industry can be traced back to the Bronze Age with the excavation of fishing nets (net weights) in the Bronze Age remains. After the opening of the port, many Japanese people migrated to the Korean Peninsula, and Guryongpo changed rapidly as the Japanese immigrants formed fishing villages and the settlement of immigrants began. In the residential complex of immigrants, which extended along the main road along the coast, important facilities were equipped, and various facilities such as common workshops, fish markets, fishery transport shops, shipyards, canneries, pioneer shops, fishing gear stores, and warehouses took their place. Guryongpo’s representative fish species were mackerel, herring, and sardines in the early days when the Japanese spoke the language. However, herring has not been caught since the 1950s, and in the middle of the year, Gwamegi was already being made with saury instead of herring. From the early 1960s to the 1980s, saury was caught so much that it was considered a representative fish species of the East Coast. However, fishermen always felt uneasy about human casualties and natural disasters caused by storms during fishing. In response, the Shipowners’ Association held the Guryongpo Big Fishing Festival in hopes of fulfilling the wishes of fishermen who wish for safe fishing and a large catch of fish and for income increase. However, as time passed, the shipowners’association ran into a difficult situation due to the cost of the festival and asked the Fisheries Cooperative, and the Guryongpo Fisheries Cooperative held the festival every four years from 2005. Even though the festival is being held under the sponsorship of the Fisheries Cooperatives, looking at the progress so far, it can be seen that there are various solidarity activities between the citizens as well as between the Fisheries Cooperatives and the citizens. Also, through the Guryongpo Gwamegi Festival, it was confirmed that solidarity activities with the Gwamegi business cooperative, merchants, and citizens were continuously conducted. Lastly, as for the analysis of the distribution network of global seafood, first, the characteristics of newspaper articles and press materials were reviewed, and interviews were conducted with Guppong overseas exporters to better understand the current situation. As a result, the current reality is that overseas exports are experiencing more difficulties than domestic sales in many aspects, such as procedures, tastings and promotion methods overseas, distribution network expansion to various countries, customer management, economic costs, and passive government support. was Therefore, Guryongpo, including Pohang City, should strive to expand the global seafood distribution network so that continuous research and improvement can be made inconsideration of the sustainability of seafood distribution to contribute to the revitalization of the local economy.

Customer Management at Gig's Batik MSMEs to Build Customer Loyalty

This community service activity aims to: (1). Increase partners' understanding of the importance of building customer loyalty, (2). Upgrade partners' knowledge and skills in managing customer databases so that they can be used for implementing further marketing programs such as: providing information on new products or to promote products, and (3). Broaden partners' insights in managing customer loyalty as one of the bases to support improving MSMEs business performance. The method used in this community service activity is through outreach activities, training and monitoring or mentoring program implementation. The results of the implementation of the community service program indicate an increase in partners' knowledge regarding the importance of building customer loyalty, managing customer data and an increase in partners' skills in documenting customer databases. Besides that, partners also have additional knowledge about managing customer loyalty Based on the programs that have been implemented, it can be concluded that customer relationship management is an important key to building customer loyalty. For this reason, entrepreneurs need to focus on consumers so that they feel satisfied and are willing to make repeated purchases of the products offered by MSMEs.

BUSINESS CORPORATE SOCIAL RESPONSIBILITY IN THE ECONOMIC RECOVERY OF UKRAINE

The development of corporate social responsibility has been transformed in the context of the war in Ukraine by reorienting sustainability programmes and charitable assistance to the needs of the army, environmental activities and support for socially vulnerable groups of the population. The purpose of the article is to summarize theoretical provisions and develop tools for transforming corporate social responsibility of enterprises with consideration of human values and digitalization processes for the recovery of Ukraine's economy in the wartime and post-war period. The research is based on the unity of macro- and micro-economic approaches to the study of corporate social responsibility using structural and logical methods, methods of systemic and socio-economic analysis. The results of the study are to form a theoretical basis and applied tools for corporate social responsibility of business in accordance with the identified empirical facts and external conditions of the changing economic environment in the evolutionary progress. The transformation of corporate social responsibility involves the introduction of material and social support for the company's personnel and internally displaced persons; provision of medical, social, psychological, legal and security support to socially vulnerable groups; formation of corporate volunteering; and participation in the elimination of the negative environmental consequences of military operations. The practical implementation of the modernised corporate social responsibility programmes involves aligning the company's business strategy with the recovery of Ukraine's economy on the basis of sustainable development. An effective tool for implementing the corporate social responsibility policy should be the digitalisation of interaction between the management of enterprises and customers, suppliers, the public, NGOs and local hromadas. The development of new tools and mechanisms of corporate social responsibility will ensure the implementation of universal, humane, European values in the management of enterprises, improvement of social support for employees, customers, and stakeholders, and the spread of socio-economic and environmental effects on society.

Blockchain in supply chain management: a feature-function framework for future research

PurposeBlockchain technology offers numerous venues for supply chain applications and research. However, the connections between specific blockchain features and future applications have been unclear to date in its evolution. The purpose of this study is to fill this void.Design/methodology/approachThe authors advance the understanding of blockchain in supply chain management by providing a new research framework built on unique blockchain features as applied across core supply chain functions.FindingsThis study’s framework is a feature-function matrix that integrates four overarching supply chain functions (i.e. supplier management, logistics, production processes and customer management) with nine blockchain features (i.e. traceability/provenance, accessibility, visibility, immutability, distributed/shared ledger, validity, peer-to-peer transacting, pseudonymity and programmability). This study’s feature-function framework is supported by a structured, systematic review of reviews using PRISMA methods. The authors use the framework to present a future blockchain research agenda in supply chain management.Originality/valueThe authors provide a new blockchain feature/supply chain function framework and provide a structured path for future research.

Pengembangan Sistem Informasi Penjualan Di Toko Karunia Dengan Framework Spring MVC

The aim of this research is to create a sales information system for Toko Karunia, which is a general store, by utilizing the Spring MVC framework. The research applied an agile approach with a scrum methodology for software development, using JavaScript as the programming language. The system development consists of features such as inventory management, sales tracking, customer management, and reporting. The implementation of this system provides a significant improvement in the store's operational efficiency and accuracy in sales processes. The outcome of this study can be beneficial for retail businesses with similar needs to enhance their sales processes using modern software technology.