Shopping Cart Research Articles

A Survey Paper on Automated Customer following Shopping Cart and Billing System

A Survey Paper on Automated Customer following Shopping Cart and Billing System

Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system.

BackgroundIn the collaborative business environment, blockchain coupled with smart contract removes the reliance on a central system and offers data integrity which is crucial when the transacting parties rely on the shared data. The acceptance of such blockchain-based systems is necessary for the continued use of the services. Despite many extensive studies evaluating the performance of blockchain-based systems, few have focused on users’ acceptance of real-life applications.ObjectiveThe main objective of this research is to evaluate the user acceptance of a real-life blockchain-based system (BBS) by observing various latent variables affecting the development of users’ attitudes and intention to use the system. It also aims to uncover the dimensions and role of trust, security and privacy alongside the primary Technology Acceptance Model (TAM)-based predictors and their causal relationship with the users’ behavior to adopt such BBS.MethodsWe tested the augmented TAM with Trust Model on a BBS that comprises two subsystems: a Shopping Cart System (SCS), a system oriented towards end-users and a Data Sharing System (DSS), a system oriented towards system administrators. We set research questions and hypotheses, and conducted online surveys by requesting each participant to respond to the questionnaire after using the respective system. The main study comprises two separate sub-studies: the first study was performed on SCS and the second on DSS. Furthermore, each study data comprises initial pre-test and post-test data scores. We analyzed the research model with partial least square structural equation modelling.ResultsThe empirical study validates our research model and supports most of the research hypotheses. Based on our findings, we deduce that TAM-based predictors and trust constructs cannot be applied uniformly to BBS. Depending on the specifics of the BBS, the relationships between perceived trust antecedents and attitudes towards the system might change. For SCS, trust is the strongest determinant of attitudes towards system, while DSS has perceived privacy as the strongest determinant of attitudes towards system. Quality of system shows the strongest total effect on intention to use SCS, while perceived usefulness has the strongest total effect on intention to use DSS. Trust has a positive significant effect on users’ attitudes towards both BSS, while security does not have any significant effect on users’ attitudes toward BBS. In SCS, privacy positively affects trust, but security has no significant effect on trust, whereas, in DSS, both privacy and security have significant effects on trust. In both BBS, trust has a moderating effect on privacy that correlates with attitudes towards BBS, whereas security does not have any mediating role between privacy and attitudes towards BBS. Hence, we recommend that while developing BBS, particular attention should be paid to increasing user trust and perceived privacy.

Arduino enabled IoT based Smart Shopping Trolley

As technology evolves and sees new developments in various fields, including artificial intelligence, machine learning, so on, there are growing customer expectations in world wide web. With the rapidly changing lives, customers have absolutely no time to wait in long lines to do their jobs. We present a clever shopping method with RFID and arduino controller in this paper. The trolleys in the shopping centers are a protocol so that they can verify the items placed in them automatically and the last bill is forwarded to a web application, available on any phone or handheld computer. The system is also subject to anti-theft management, where the system allows no customer to take unchecked products.

Auto Billing Shopping Cart

The most valuable thing in today’s world is time, people are referring those things which consumes less time. Billing in Shopping mall takes lot of time. Billing of products from mall is quite difficult because it takes more time as people have to wait for a long time in a queue for billing .Looking at the advancement in technology, we came up with an innovative idea of “Smart Shopping Cart for Automatic Billing in Supermarket”. This project consists of RFID reader, motion detector sensor, Liquid Crystal Display, push buttons, switches . If user wants to use smart trolley functions then start button should be pressed. When a user put some product in trolley then its code will be detected using RFID reader and cost of a product added to the list and sensor will sense the direction of motion of the product for fault detection and buzzer will be on if fault detected. In case, if user wants to remove some product then user should press the remove switch and product code will be detected by RFID reader and again for any false activity buzzer will be on. At last, counter with least number of queues will be detected and displayed on the cart LCD.

Perancangan Sistem Penjualan Furniture Pada UD Usaha Jaya Mandiri Berbasis Website

UD Usaha Jaya Mandiri is a shop in the City of Tanjung Pinang which is engaged in selling furniture. Seeing the progress of the development of Science and Technology today, the demands on the development of sales and existence in the company must be increased, one way is to create a website, because in this way the UD Usaha Jaya Mandiri company engaged in the sale of furniture can be better known by the public broad, and can increase sales at UD Usaha Jaya Mandiri Company. The method used to obtain data requirements is the method of observation and interview methods. The software system design method used is System Development Life Cycle (SDLC) and the programming language used to create programs is PHP and to manage the database it uses PhpMyAdmin. The results of this application program have a shopping cart feature which is a very useful feature, because it makes it easier for customers to order and make purchases in stores, and this application program can provide information on sales and order reports.

PDR/UWB Based Positioning of a Shopping Cart

In this article, we consider indoor positioning of a shopping cart in a store with a hybrid approach combining ultra wideband (UWB) and a people dead reckoning (PDR) system. While UWB can provide a very accurate positioning estimate in ideal circumstances, its accuracy reduces in non-line-of-sight situations and the update rate decreases when the number of users increases. To solve these issues, each shopping cart is not only equipped with a UWB tag, but also with an inertial measurement unit (IMU) sensor to determine the step length and heading of the user moving the shopping cart, in order to track the shopping cart in between two UWB measurements. As the IMU is not attached to the body, the measured acceleration will be different than in other works considering PDR systems. In this article, we therefore first extract a model for the acceleration, and use the resulting model in the PDR system, where we look for the best acceleration component to track the cart. To combine the PDR and UWB information, we consider two approaches, i.e. Kalman and particle filtering, and compare both approaches. Moreover, we investigate the effect of the presence of map information of the store on the trajectory information. Our experiments show that the average positioning error using UWB only equals 62.6 cm, while the Kalman and particle filter result in an accuracy of respectively 34.1 cm and 41.3 cm, and when using map information in combination with particle filtering, the accuracy improves to 28.0 cm.

Data Transmission Using RFID System on Smart Shopping Carts for Checkout Process Efficiency in Supermarket at Indonesia

Abstract A lengthy queue upon entering the checkout process in supermarkets is an undesired situation for the customers and can possibly cause the number of customers to decrease as well as their loyalties. Therefore, rendering the checkout process efficient is necessary as saving time can help the customers to do other activities in their lives. The purpose of this research is to create a System that consists of Smart Shopping Carts, a smartphone application as an interface, an application for the cashier integrated with the server and database to support data transmission, that enables people to do self-scanning of items and the cashier only has to perform payment. This System is developed using the Waterfall methodology and involves tools such as Arduino Uno, RFID, Visual Studio Code, Flutter, PostgreSQL, REST, React dan Node.js. By simulating the process with various variables from observation, the result is efficiency that grows with increasing number of items and customers.

E-Commerce Websites, Consumer Order Fulfillment and After-Sales Service Satisfaction: The Customer Is Always Right, even after the Shopping Cart Check-Out!

Purpose: This research identifies the critical factors of online service delivery of electronic commerce (ecommerce) websites, including website attractiveness, website functionality, website security and consumer fulfillment during an unprecedented Coronavirus (COVID-19) pandemic. Design/methodology/approach: A structured questionnaire was used to gather data from 430 online respondents, who were members in popular social media groups. The survey instrument relied on valid and reliable measures relating to electronic service quality (e-SERVQUAL), to better understand the participants’ satisfaction with shopping websites as well as their loyal behaviors and word-of mouth activities. Findings: The findings reported that consumers valued the e-commerce websites’ features and their consumer order fulfillment capabilities. These factors increase the consumers’ satisfaction with online shopping experiences, generate repeat business as well as positive reviews in social media. Originality: This contribution posits that e-commerce websites’ ought to be appealing, functional and offer secure transactions. More importantly, it suggests that online merchants should consistently deliver a personalized service in all stages of an online purchase, including after the delivery of the ordered products. Research implications/limitations: This study addresses a knowledge gap in academia. To date, little research has focused on the consumer order fulfillment aspect of e-commerce transactions and on the aftersales services of online businesses.

A Multimodal User Interface for an Assistive Robotic Shopping Cart

This paper presents the research and development of the prototype of the assistive mobile information robot (AMIR). The main features of the presented prototype are voice and gesture-based interfaces with Russian speech and sign language recognition and synthesis techniques and a high degree of robot autonomy. AMIR prototype’s aim is to be used as a robotic cart for shopping in grocery stores and/or supermarkets. Among the main topics covered in this paper are the presentation of the interface (three modalities), the single-handed gesture recognition system (based on a collected database of Russian sign language elements), as well as the technical description of the robotic platform (architecture, navigation algorithm). The use of multimodal interfaces, namely the speech and gesture modalities, make human-robot interaction natural and intuitive, as well as sign language recognition allows hearing-impaired people to use this robotic cart. AMIR prototype has promising perspectives for real usage in supermarkets, both due to its assistive capabilities and its multimodal user interface.

Implementation of Smart Shopping Cart using Object Detection Method based on Deep Learning

Implementation of Smart Shopping Cart using Object Detection Method based on Deep Learning

Research on Smart Shopping Cart

<p>In metropolitan cities, we will see an enormous rush at shopping malls on holidays and weekends. This becomes, even more, once there are large offers and discounts. Currently folks purchase a spread of things and place them within the trolley, after buying one ought to approach the counter for billing. By employing a barcode reader the cashier prepares the bill that may be a time overwhelming method. This ends up in long queues at the billing counters. This project presents a plan to build up a framework in shopping centers to beat the above issue. To realize this all merchandise within the mall to be equipped with RFID tags and every one trolley should be equipped with an RFID reader and digital display screen. When one puts any item in the trolley its code will be distinguished naturally, the item name and cost will be shown on the LCD, in this manner the expense gets added to the absolute bill. On the off chance that we wish to expel the item from the trolley, you can remove the item and the measure of that particular item gets deducted from the aggregate sum and a similar data goes to the central billing unit through ZigBee module. Subsequently the billing should be possible in the trolley itself accordingly sparing a ton of time to the clients.</p>

Electronic Shopping Cart

The present paper is discussing the project’s main goal and therefore the plan of proposing an answer to the present downside within the present state of affairs all the medium to massive size supermarkets/grocery stores. Therefore, it pretends to be a significant improvement in these things, and time is saved as an answer for the shoppers whereas buying these places. It is as a result of the massive progress and improvement of the IT trade throughout the past 55 years (and far more throughout the last decade), that this project had the chance to be developed and enforced. Currently, a day’s personal computers are getting terribly smaller and smaller, their processing is even quicker and higher (much additional efficient), and it’s additionally less expensive than it absolutely was twenty-five years agone. This personal plan (and consequently, this project); which is explained very well during this document, tries to be a significant improvement within the retail business. The project development and implementation were complete focusings not solely on the grocery stores, and food supermarkets/butcher retailers, and additionally massive malls. However, these ideas and styles may be cipher too in many totally different sectors, like the textile trade, entertainment-related business (videogames, music, movies…), books, toys… and no matter the alternative trade of products that the retail company is commercialism. therefore the initiative and section of this document are that the rationalization of the most motivations and things that originated this concept, therefore as its analysis, design, and implementation, for in a while showing the plausible enhancements which may be enclosed within the system and therefore the real implementation of the first plan is additionally been mentioned within the paper itself.

Kornai on the affinity of systems: Is China today an illiberal capitalist system or a communist dictatorship?

More than 40 years ago, János Kornai introduced his famous supermarket metaphor. Socioeconomic systems cannot be constructed from purposely selected features, similar to customers in a supermarket, who can freely put into their shopping trolley whatever they like. Systems constitute an organic whole. They contain good and bad features in fixed proportions. After 1990, Kornai and most Western commentators expected that as market integration and private property expand, China would eventually turn into a liberal democracy. Prior to the worldwide fall of communism, Kornai had three primary criteria to determine whether a country was socialist or capitalist; later he amended this with six secondary ones. The present paper introduces into this list an additional 11 criteria—i.e. 20 quantifiable metrics altogether. Kornai was among the very first to recognize that with President Xi Jinping taking charge, China made a U-turn. While capitalist elements remain strong, in the final analysis, the country is on its way back to where it was before 1978.

Design and Implementation of a Smart Shopping Trolley Using RFID Technology

This paper focuses on the design and implementation of a Smart Trolley Shopping in supermarkets to solve difficulties of customers whilst waiting in queues for billing. The trolley is designed to develop market services and make them modern, healthy and easy to use. The remote controls the movement of the trolley automatically and reduces the load on the client during pulling the trolley. In addition, it helps in saving money by not buying unwanted products, with the help of the Liquid Crystal Display in the trolley, which shows on the update of purchase limit. In this work the client writes the amount they have via the keypad, where the amount appears on the liquid crystal screen. The product used is then checked for price and RFID details. This information is sent to RFID in the product via radio to RFID reader which determines the radio waves. It has an antenna bar for receiving and transmitting data. It also contains a small memory for detailed information of up to 256 bytes. The total cost is summarized by the scanner for materials stored in memory, sent to Arduino. The cart moves according to the client's movements when shopping and then moves to the left, right, forward, backward, or even stops through the buttons. If the customer purchases the products more than the amount recorded on the keyboard, an alarm will serve as a reminder to the customer that he/she has exceeded the purchase limit. The smart trolley is characterized by the speed of accounting compared to conventional accounting and provides a quality service. It reduces congestion at the cashier counter and shortens the time and waste of effort during the accounting process.

IoT based Human Guided Smart Shopping Cart System for Shopping Center

IoT based Human Guided Smart Shopping Cart System for Shopping Center

The Long-term and Spillover Effects of Price Promotions on Retailing Platforms: Evidence from a Large Randomized Experiment on Alibaba

Dynamic pricing through price promotions has been widely used by online retailers. We study how a promotion strategy, one that offers customers a discount for products in their shopping cart, affects customer behavior in the short and long term on a retailing platform. We conduct a randomized field experiment involving more than 100 million customers and 11,000 retailers with Alibaba Group, one of the world’s largest retailing platform. We randomly assign eligible customers to either receive promotions for products in their shopping cart (treatment group) or not receive promotions (control group). In the short term, our promotion program doubles the sales of promoted products on the day of promotion. In the long term, we causally document unintended consequences of this promotion program during the month after our treatment period. On the positive side, it boosts customer engagement, increasing the daily number of products that customers view and their purchase incidence on the platform. On the negative side, it intensifies strategic customer behavior in the posttreatment period in two ways: (1) by increasing the proportion of products that customers add to their shopping cart conditional on viewing them, possibly because of their intention to get more shopping cart promotions, and (2) by decreasing the price that customers subsequently pay for a product, possibly because of their strategic search for lower prices. Importantly, these long-term effects of price promotions on consumer engagement and strategic behavior spill over to sellers who did not previously offer promotions to customers. Finally, we examine heterogeneous treatment effects across promotion, seller, and consumer characteristics. These findings have important implications for platforms and retailers. This paper was accepted by Vishal Gaur, operations management.

Air-powered shopping carts in grocery stores: a pilot study

Purpose Motorized shopping carts found at grocery and retail stores provide mobility for those who have difficulty walking through the store or pushing a regular cart. The purpose of this study was to understand the usage of motorized carts in grocery stores and pilot test an air-powered cart to determine its feasibility as a replacement for electric-powered carts as well as identify areas for improvement and preferred users. Methods Users were asked to complete an online survey that assessed their shopping characteristics and experience using the motorized cart. K-Means clustering determined user demographics who chose to use the air-powered carts versus the electric-powered carts. Open-ended comments for improvements were also collected. Results A total of 65 participants were provided informed consent, 60 participants met inclusion criteria and completed the survey. A majority of the air-powered (N = 29, 91%) and electric-powered (N = 11, 73%) cart users had a positive experience. Clustering found age and type of mobility device owned were significant whether participants chose the air-powered or electric-powered carts. Most suggested improvements for the air-powered carts were better braking, higher speed and a bigger basket while a longer battery life was most suggested for electric-powered carts. Conclusions Motorized shopping carts are used by a wide variety of individuals. Individuals aged 54 or younger and do not own a mobility device chose to use air-powered more than electric-powered carts. The functional capabilities of the air-powered carts demonstrated their potential to serve as practical replacements for electric-powered carts found in grocery and retail stores. Implications for rehabilitation The availability and reliability of motorized shopping carts at retail stores are integral for individuals with physical impairments to complete their shopping needs. The development of novel assistive devices such as air-powered carts provides improved experiences and quality of life. Integrating end-user feedback during the design of assistive technologies is paramount for meeting actual needs.

스마트 쇼핑 카트를 위한 뒤태 기반 사용자 인식 가능성에 관한 연구

스마트 쇼핑 카트를 위한 뒤태 기반 사용자 인식 가능성에 관한 연구

An Intelligent and Automated Approach for Smart Minimarkets

This paper presents the design and implementation of a smart and safe minimarket prototype for deployment in busy smart cities to mitigate the overhead of shopping experience. The prototype allows customers to remotely access and browse the available products at the minimarket using a special smart-phone application. The system can intelligently detect the nearby location of customers and subsequently provide location-dependent services such as allowing orders to be placed using the application, predicting weekly customer expenditures based on artificial-neural-network machine-learning approach, and automatically delivering purchased products using a robotic shopping cart. This proposal is believed to support safe shopping which became a critical issue after COVID-19 pandemic. From a service provider view point, the application allows the provider to remotely manage the minimarket by adding/removing product items, keeping track of shortage in products, and getting revenue information. Empirical results show that the average service time of the minimarket is ≈ 60 seconds per customer. However, an analytical model based on queueing theory was used to analyze the performance of the system when customers arrive according to a Poisson random process and get served according to a general-service-time distribution (M/G/1). The case of batch customer arrivals (M[H] /G/1) was also analyzed, where batch size is also assumed to be random. Various traffic intensities and the effect of variable service times were studied and cross-validated with simulation results. Worst-case scenario shows that under heavy load of 95%, when customers arrive at the minimarket every 63 seconds on average, the average response time for each customer is ≈ 10 minutes.

IoT-Based Smart Shopping Cart Using Radio Frequency Identification

The modern age of technology in which most of the customer needs to wait in the supermarket for shopping because it is a highly time-consuming process. A huge crowd in the supermarket at the time of discount offers or weekends makes trouble to wait in long queues because of a barcode-based billing process. In this regard, the Internet of Things (IoT) based Smart Shopping Cart is proposed which consists of Radio Frequency Identification (RFID) sensors, Arduino microcontroller, Bluetooth module, and Mobile application. RFID sensors depend on wireless communication. One part is the RFID tag attached to each product and the other is RFID reader that reads the product information efficiently. After this, each product information shows in the Mobile application. The customer easily manages the shopping list in Mobile application according to preferences. Then shopping information sends to the server wirelessly and automatically generates billing. This experimental prototype is designed to eliminate time-consuming shopping process and quality of services issues. The proposed system can easily be implemented and tested at a commercial scale under the real scenario in the future. That is why the proposed model is more competitive as compared to others.