Checkout Process Research Articles

From Product Design to Customer Care: IKEA’s Blueprint for Success

The report aims to introduce IKEA’s customer service and investigate its background and strategic objectives. As a national retail giant, IKEA recognizes that home furnishing is not only a place to live, but also provides products, services and shopping experience by understanding consumer needs. The research topics include IKEA’s customer service system, service strategy, system standards, customer feedback collection and use, etc. Collect information by publishing questionnaires, contacting the customer service team, and the official website, etc. The results include the development of IKEA and customer service strategy of IKEA, analyze its advantages, such as customer-centered and high-cost performance, and also point out the shortcomings of products that need to be self-assembled and crowded stores, and give corresponding suggestions. The conclusion shows that IKEA focuses on consumer feelings and provides a variety of services. The survey shows that most consumers are satisfied with their services and products. In the future, IKEA should provide paid assembly services, optimize the checkout process, and provide personalized recommendations with big data to better meet customer needs.

Easily Determining Post-Study System Usability for Anime Community E-Commerce Analysis

The rapid growth of e-commerce as a form of electronic commerce has transformed the global shopping landscape. To maintain user satisfaction and competitiveness, e-commerce sites must effectively understand and improve the usability of their systems after launch. The aims of the study are to improve e-commerce post-launch usability so that anime fans' enthusiasm can be capitalized upon for financial gain and market expansion. In this study, we adopted a combined approach that included user observations, interviews, surveys, and performance measurement for anime community e-commerce analysis Weeboo web commerce. Through this method, we analyze the behavior and views of users towards e-commerce systems. The results show that most users experience a positive experience in shopping online by appreciating the usability of the layout, search process, and fast checkout process. The results indicated that most users have a positive online shopping experience, appreciating the layout, search process, and fast checkout process. The SUS score of 75.375 (grade B) and the overall PSSUQ satisfaction score of 2.0296 indicate that the system is acceptably well-received. The proposed recommendations can help e-commerce companies quickly identify usability issues and implement relevant fixes.

Barcode-less Fruits Classification Using Deep Learning

<p>Barcode-less fruit recognition technology has revolutionized the checkout process by eliminating manual barcode scanning. This technology automatically identifies and adds fruit items to the purchase list, significantly reducing waiting times at the cash register. Faster checkouts enhance customer convenience and optimize operational efficiency for retailers. Adding barcode to fruits require using adhesives on the fruit surface that may cause health hazards. Leveraging deep learning techniques for barcode-less fruit recognition brings valuable advantages to industries, including advanced automation, enhanced accuracy, and increased efficiency. These benefits translate into improved productivity, cost reduction, and superior quality control. This study introduces a Convolutional Neural Network (CNN) designed explicitly for automatic fruit recognition, even in challenging real-world scenarios. The proposed method assists fruit sellers in accurately identifying and distinguishing between different types of fruit that may exhibit similarities. A dataset that includes 44,406 images of different fruit types is used to train and test our technique. Employing a CNN, the developed model achieves an impressive classification accuracy of 97.4% during the training phase and 88.6% during the testing phase respectively, showcasing its effectiveness in precise fruit recognition.</p>

Effect of Fashion E-Commerce User Experience on Customer Retention in Ghana

Purpose: The aim of the study was to analyze the effect of fashion e-commerce user experience on customer retention in Ghana. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Research indicates that positive user experiences, characterized by intuitive website navigation, efficient mobile interfaces, and responsive customer service, greatly enhance customer retention rates. Users who encounter seamless transactions, personalized recommendations, and reliable delivery services are more likely to return and engage with fashion e-commerce platforms repeatedly. Unique Contribution to Theory, Practice and Policy: Theory of planned behavior (TPB), self-determination theory (SDT) & expectation-confirmation theory (ECT) may be used to anchor future studies on effect of fashion e-commerce user experience on customer retention in Ghana. Practically, fashion e-commerce platforms should invest in user-friendly website design and navigation to enhance the overall shopping experience. This includes simplifying the checkout process, ensuring mobile compatibility, and improving site speed. From a policy perspective, e-commerce regulations should include guidelines for user experience best practices. This could involve setting standards for website accessibility, data protection, and user interface design to ensure a positive online shopping experience.

FROM STAMPS TO STICKERS: THE EVOLUTION OF CHILDREN’S COLLECTIONS IN THE DIGITAL

Abstract : The growth of online shopping has created new opportunities for selling children’s products. This research paper explores the creation of an e-commerce website specifically for kids’ collections. The goal is to design a site that is fun, safe, and easy to use for both children and their parents. By focusing on kid-friendly design, useful shopping features, and strong security, this study addresses the unique needs of this market.The research method involves gathering user requirements through surveys and focus groups, followed by a step-by-step design and development process. The website is built using popular web technologies like HTML, CSS, JavaScript, and React. The site’s structure is carefully planned to ensure ease of use and efficiency.Special attention is given to user experience and interface design, using bright colors, simple navigation, and interactive elements to keep children engaged. Key features of the site include clear product listings, an easy-to-use shopping cart, a simple checkout process, and tools for parents to monitor their children’s activities.Security and privacy are prioritized to protect children’s data. The website is tested with real users to ensure it is easy to use and works well on different devices. Regular security checks are conducted to keep the site safe. Index term : HTML, CSS, JavaScript, and React, ,Deep learning , Machine learning, python, Django.

Smart Automated Border Control System for Pakistan Airports Using ML-based Biometric Measures

With the global population on the rise, the substantial increase in cross-border travel poses heightened security risks, the potential for the spread of pandemics such as COVID-19, congestion, delays in the check-in and checkout process, and various other challenges. This paper introduces a novel smart Automated Border Control system referred to as ABC system tailored for Pakistan. Employing advanced biometric technologies, including contactless facial and palm recognition systems, the proposed system aims to mitigate the spread of the COVID-19 pandemic at border crossings. A travel document reader system, leveraging Optical Character Recognition (OCR) technology, retrieves passport-based information from the database. State-of-the-art machine learning-based facial recognition algorithms and recent contactless palm recognition methodologies authenticate and validate passengers entering Pakistan. Furthermore, the proposed system is designed for seamless integration with existing services such as the Integrated Border Management System (IBMS) for immigration, Exit Control List (ECL), NADRA (National Database and Registration Authority) database, online Visa database, Passport database, and Advance Passenger Information (API) or Passenger Name Record (PNR) systems. By expediting the authentication process, the system significantly reduces delays in immigration procedures.

WonderWoods Online Furniture Website

Abstract: This research paper investigates the emerging trend of Furniture websites, examining their impact on the interior design, consumer behavior, and environmental sustainability. The study aims to provide a thorough literature review, propose a conceptual model for Custom Furniture platform, and offer insights into the future of this innovative business model. The objectives of the study include analyzing WonderWoods user interface and navigation on system, assessing the range, quality, and pricing of its furniture products, evaluating ng the effectiveness of its marketing strategies, exploring customer satisfaction on levels and post-purchase experiences, and identifying areas for improvement. The qualitative analysis revealed several key dimensions of UX, including website aesthetics, navigation ease, product presentation, and checkout process efficiency. Keywords: WonderWoods is a Custom furniture making platform that offers a sustainable and stylish way to design your house.

Railway contactless checkout process with identification assisted by gait recognition

With business process optimization, technological advancement, equipment capability enhancement, and other means, the Railway Passenger Service Department in China is consistently working to improve the efficiency and convenience of passenger entry and exit procedures at railway stations. Concerning passengers’ checkout, not only conventional identification approaches based on manual control, identification card, and magnetic thermal paper ticket are supported, but also a recent contactless identification process based on face recognition is applied in some stations. To further improve the contactless identification ability for checkout, an advanced contactless checkout process based on gait-augmented face recognition is innovatively put forward, in which a weakly-supervised body segmentation network named Dwsegnet and an improved GaitSet model are proposed. Through comparison with various models, the effectiveness of both Dwsegnet and the improved GaitSet is validated. Specifically, the contactless identification rate of gait-augmented face recognition is improved by 2.31% when compared to single-modal face recognition, which demonstrates the superiority of the proposed process.

SISTEM APLIKASI POIN OF SALE (POS) UNTUK PENJUALAN TOKO NAILA COOKIES BERBASIS JAVA

The Java-based Point of Sale (POS) application system was created to increase operational efficiency and transaction accuracy at Naila Cookies Shop. This system automates sales processes, inventory management, and financial reporting, aiming to speed up the checkout process, minimize errors, and provide real-time sales data. Utilizing Java as the main programming language with an object-oriented approach ensures scalability and ease of maintenance. Additionally, the system has a user-friendly interface to facilitate fast and efficient transactions for store staff. Testing shows important improvements in transaction speed and accuracy, potentially reducing long-term operational costs. These findings show the positive impact of the appropriate use of information technology on retail store operations.

Smart Billing System in Shopping Cart

Abstract: The smart billing system embedded within shopping carts scans products as they're placed inside, displaying the total price to be paid. Its primary goal is to reduce time spent on billing and simplify product scanning, aiming to streamline the checkout process and elevate overall shopping experiences. By minimizing errors inherent in manual billing methods, the system enhances efficiency. Leveraging RFID technology, it enables real-time inventory tracking, personalized promotions, and smooth payment options, ensuring a convenient shopping journey. Additionally, the project explores in-cart payment methods and security technologies to monitor customer loyalty, further enhancing efficiency and security in the shopping process.

IoT Based Smart Trolley for Auto Billing

This paper proposes the development of a Smart Trolley system aimed at enhancing the shopping experience by automating the billing process. The system integrates Raspberry Pi, a low-cost, credit-card-sized computer, and RFID (Radio-Frequency Identification) technology to create an efficient and seamless checkout process for customers in retail environments. The Smart Trolley employs RFID tags attached to products and an RFID reader mounted on the trolley to identify items as they are placed inside. The Raspberry Pi processes the RFID data and maintains a running total of the items in the trolley. Additionally, it communicates with the store's database to retrieve product information and pricing. Through this integration, the Smart Trolley eliminates the need for manual scanning of each item at checkout, reducing waiting times and enhancing overall efficiency. Moreover, the system provides real-time updates on the total bill, allowing customers to track their expenses as they shop. This paper outlines the design, implementation, and testing of the Smart Trolley system, demonstrating its effectiveness in automating the billing process while improving the shopping experience for customers. The proposed system holds promise for revolutionizing retail operations, offering a glimpse into the future of smart, technology-driven shopping solutions. Key Words: Autobilling, Rasberry Pi, RFID(EM-18), LCD, Smart Shopping, IoT.

Sistem Informasi Penjualan Online Berbasis Web Pada Toko Citra Parfum

This research aims to develop an online sales system (e-commerce) for Citra Parfum store in Tambun Selatan, Bekasi Regency. The store faces challenges in achieving sales targets and low customer numbers due to limited promotion through conventional channels and its hidden location within a residential area. The research utilizes the method of information system development, utilizing Visual Studio Code as a medium for creating the e-commerce website. The developed system includes the display of perfume products along with relevant information, a shopping cart, the checkout process, and online payment. This study proposes the implementation of a web-based e-commerce for Citra Parfum store. With the online sales system, it is expected that the number of sales transactions will increase, the marketing reach will expand, and buyers will be able to transact more easily. The research results are also expected to provide practical benefits to the management of Citra Parfum in improving customer satisfaction through the implementation of the online sales system.

Kids Go- Ride Pooling/sharing Cab Services for Children

Kids Go is an innovative door-to-door ride-hailing service designed specifically for the mobility needs of children, adolescents and students. Kids Go's main focus is ensuring the safety of its little passengers. Providing a service that combines independence and reliability gives parents a new sense of security. This innovation lies in the seamless integration of the latest technology, enabling parents to receive real-time notifications at every important point in their child's journey, from the moment they pick them up and drop them off, and even during the check-in and check-out process. You will be able to known as an industry pioneer, Kids Go is proud to launch India's first children's ride-hailing service with a comprehensive online presence and live driver tracking. This tech-savvy approach demonstrates the brand's commitment not only to transparency, but also to staying ahead of the curve. Kids Go not only offers unparalleled convenience, it also leads the way in environmental responsibility. The service actively contributes to reducing CO2 emissions by integrating electric vehicles and his CNG vehicles into vehicles, effectively minimizing carbon dioxide emissions. This dual commitment to safety and sustainability solidifies Kids Go's position as a pioneer in child transportation. In a world where parenting concerns are paramount, Kids Go represents a reliable, affordable and eco-friendly solution that goes beyond traditional ride-hailing standards and redefines standards for safety and comfort. Keywords – Kids Go, Innovation, Door to door, Adolescents, Students, Safety, Little passengers, Independence, Reliability, Parents, Security, Technology, Real-time notifications, Check-In, Check-out, Industry pioneer, Unparalleled convenience, Environmental responsibility, CO2 emissions, Carbon dioxide emissions

Carbon reduction and understanding through simulation of transportation (CRUST) for e-commerce

Online shopping has replaced a substantial percentage of brick-and-mortar shopping in the last two decades, and many consumers remain uninformed about the CO2 emission impact for both. FedEx and ShopRunner have a unique combination of data that enables the simulation of e-commerce order delivery as well as passenger vehicle trips to brick-and-mortar locations. In this work, we study the potential distribution of CO2 emissions for customer trips to retail locations and contrast this with the impact of individual e-commerce orders on CO2 emissions for delivery routes. We do this by simulating the result of adding customers to delivery routes and also simulating likely customer routes to retailer locations. These two simulations allow us to directly compare the expected CO2 emissions for both methods of shopping. The scope of this work is correspondingly limited to the trade-off in last mile delivery emissions resulting from the choice of online shopping or traveling to a retailer. This work contributes to the discussion of CO2 emissions and commerce by simulating CO2 emissions for last-mile carrier delivery or pickup by an individual. The research done in this study concludes that, when considering last-mile delivery or pickup only under the specific scenarios used for the study, having purchases delivered likely has a lower CO2 impact than traveling to a store or location to pick up a product purchased online. In addition, survey results that were gathered as a part of this study indicate a consumer preference for environmentally friendly purchase options. We also show how this information can be estimated for presentation to customers during the checkout process in an understandable manner. This study provides practical information to supply chain companies and consumers, showing that shipping and delivery options can have a positive impact on CO2 emissions.

ANNAPURNA CONNECT

In today's increasingly digital landscape, the agricultural sector is primed for transformation through the development of a Full-Stack Website dedicated to a Farmers' Marketplace. This initiative aims to create an integrated online platform connecting farmers, producers, and consumers, streamlining the exchange of agricultural products. With a focus on both front-end and back-end development, the website will offer a user-friendly interface with features such as product listings, search functionality, user profiles, reviews, and a simple checkout process. Meanwhile, the robust back-end infrastructure ensures data management, security, and scalability. By leveraging technology to bridge the gap between farmers and consumers, the Farmers' Marketplace Full-Stack Website has the potential to revolutionize agricultural trade, fostering sustainability and efficiency in the process. Keyword: Digital Marketplace, Mern stack, Farmers and buyers.

WiSeCart: Sensor-based Smart-Cart with Self-Payment Mode to Improve Shopping Experience and Inventory Management

Superstores are often rippled with people from a variety of the pyramid structure from lower, middle and higher-levels of the pyramid. These malls often transform onto a busy-bee hub with people wishing to explore the merits of discounted product prices and special offers. This, however causes a surge in traffic coupled with the enticing promotions that then lead to endless queues at the various cash-sales point and check-out counters. This case often poses inherent challenges both for business owners and customers due to time constraint, product substitution and quantity tracking in such malls. The study proposes WiSeCart – a wireless sensor-based shopping cart with near feature compatibility feat. Result shows that the integration of a self-payment system via the NFC tech provisions the system with: (a) reduced queue time so that customers can finish their shopping quicker with fast-paced checkout process, (b) yields increase inventory management efficiency with reduced errors from customer data entry using NFC communication stickers, and (c) improved data management capability that allow for further study of customer behaviour for improved customer experience and service delivery, which will in turn equip business owner with better managerial decision support. Keywords: wireless sensor-networks, smart-carts, shopping trolley, customer experience, superstores Journal Reference Format: Brizimor, S.E., Okpor, M.D., Yoro, R.E., Emordi, F.U., Ifioko, A.M., Odiakaose, C.C., Ojugo, A.A., Ejeh, P.O., Abere, R.A., Ako, R.E., Geteloma, V.O., (2024): WiSeCart: Sensor-based Smart-Cart with Self-Payment Mode to Improve Shopping Experience and Inventory Management. Social Informatics, Business, Politics, Law, Environmental Sciences & Technology Journal. Vol. 10, No. 1. Pp 53-74. www.isteams/socialinformaticsjournal. dx.doi.org/10.22624/AIMS/SIJ/V10N1P7

Grocery Shop Application

The grocery shop app is a user-friendly mobile application designed to streamline the grocery shopping experience. With a clean and intuitive interface, users can easily browse a wide selection of products, add items to their virtual cart, and conveniently place orders for home delivery or in-store pickup. The app features personalized recommendations based on past purchases, real-time inventory updates, and a robust search function for efficient product discovery. Users can create and manage shopping lists, take advantage of exclusive deals and discounts, and enjoy a seamless checkout process with various payment options. The app aims to enhance the overall convenience and efficiency of grocery shopping, providing users with a modern and hassle-free way to meet their daily food and household needs. KEYWORDS - Fresh,Convenient, Variety, Quality, Affordable, Fresh produce, Organic options,Dairy products, Household essentials

INTELLIGENT AUTONOMOUS PARKING SYSTEM INTEGRATING RFID AND IoT FOR SMART CITIES

An autonomous parking system is the essential innovation for stress free car parking in smart cities. The efficient use of resources is a key goal of smart cities, and their integration with technology has improved productivity and dependability for urban infrastructure. In this paper, an efficient automated parking system integrating Internet of Things (IoT) and radio frequency identification (RFID) technologies is proposed. The proposed system is integrated with IoT in which the consumers can book the parking spots before arriving to the destination-drastically reducing the time taken by the consumers in searching for the parking slot. The proposed system effectively saves time for the consumers and also significantly provides solutions for all the parking-related issues faced by the management of flats, theaters, malls, hospitals, etc. In management perspective, this system will provide better use of their resources and reduce the amount of labor needed to maintain these parking lots. The automated parking system overcomes the important issue of jamming near the gates of parking spots by improving the check-in and check-out process of vehicles. The RFID tags given to the drivers reduce the time for vehicle identification as it is done automatically. The proposed system avoids long queues at the gates, unnecessary traffic jams near the gates, reduces the waiting time, and ensures security by allowing only the registered users identified through RFID tags. Thus, the proposed system will be a sophisticated system for the consumers, drivers, and a boon to mall owners and management.

Feeling rewarded and entitled to be served: Understanding the influence of self- versus regular checkout on customer loyalty

As the popularity of self-checkout systems has been increasing in recent years, it is imperative to understand how their usage impacts customers’ shopping experiences. This research directly compares self- and regular checkout systems to determine how they affect customer loyalty differently. Through five studies, we demonstrate that regular (vs. self-) checkout service makes customers more loyal to the store (e.g., more likely to revisit the store in the future). Additionally, customers’ perceived saved effort during the checkout process and their sense of entitlement to be served parallelly mediate the effect. The number of items purchased during a shopping trip also moderates the effect of checkout type on customer loyalty. Finally, when shoppers are primed to think of the extra effort involved in self-checkout as a rewarding experience, their store loyalty is similar to that of regular checkout shoppers. This research provides both theoretical contributions and practical implications for retail marketing.

Towards more sustainable online consumption: The impact of default and informational nudging on consumers’ choice of delivery mode

The increasing CO2 emissions from e-commerce deliveries present a pressing environmental concern. If half of all consumers decided to have their online order delivered to a pick-up point instead of at home, this could vastly reduce CO2 emissions of e-commerce. This study investigated (a) whether nudging could help consumers shift towards pick-up point delivery as a more sustainable choice, and (b) which type of nudging would be most effective. An RCT was conducted with a representative sample of the Dutch population (N = 1213). In an online store setting, participants selected a product and completed the check-out process – selecting between more and less sustainable delivery options. Their selection had real consequences as the gift would be delivered with the selected delivery method. Four different nudging conditions were contrasted: a default nudge, in which the most sustainable option (i.e., delivery to pick-up point) was selected automatically, and three decision-information nudges, in which CO2 emissions for the delivery options was displayed. The decision-information nudges varied in complexity, from high complexity (emissions in grams of CO2 for each delivery option) to medium (percentage of CO2 reduction for the most sustainable option) and low complexity (a green leaf next to the most sustainable option). Relative to control, the default nudge was the most effective at steering participants towards the most sustainable delivery choice, followed by the medium- and low-informational nudging conditions. In addition, instead of steering them towards the most sustainable delivery option, the high-informational nudge appeared to steer participants away from the two most polluting delivery options – thereby potentially saving more greenhouse gas emissions (GHG) than the other conditions. In sum, this study provides substantial evidence for the use of behavioral strategies in quest towards more sustainable online consumption.