Shopping Cart Research Articles

Smart Shopping Trolley Using Internet of Thing (IOT)

Abstract: Currently, billions of consumers shop at large in shopping mall stores for their everyday necessities. In today's life, purchasing has become a part of everyday life. On holidays and weekends, malls experience massive crowds .The integration of Internet of Things (IoT) technology into shopping trolleys presents a significant advancement in the retail industry, revolutionizing the shopping experience for consumers. The proposed SST utilizes a network of sensors and connectivity solutions to enable real-time monitoring, inventory management, and personalized services. Through IoT integration, the SST offers features such as automatic item detection, seamless checkout processes, and personalized recommendations based on individual shopping habits. Moreover, the system empowers retailers with tools for efficient inventory management, reducing stock outs, and analysing consumer behaviour for targeted marketing strategies. Intelligent Carts and automated recognition systems are being utilized by merchants to enhance the efficiency of their offerings and to boost market demand, enabling them to save time and money.

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

How to go from storytelling to fact telling and still sell products, ideas and hope

We exist now in what can sometimes feel like an alternative universe, where fake news headlines go viral, algorithmic bias targets us with content that is popular and engaging but not necessarily trustworthy, chatbots are powered by artificial intelligence and deepfake video technology runs amok. The global rise of misinformation and the decline of consumer trust in both government and media have coincided with technological advances and tarnished demand for brand strategists’ old tricks. One of these is storytelling. Now, if you are a brand that is being even a little disingenuous with your communications today, then to some you may as well be a bald-faced liar. Instead, regardless of the industry, whether B2B or consumer, brands today should be in the business of fact telling. At stake are a business’ reputation, customer loyalty and the bottom line. Furthermore, it is up to us to help ensure that the information environment does not deteriorate further on our watch. The most exciting thing a brand can do today is to be audaciously authentic. But have we forgotten how to be? Moreover, can we tell the truth and still get consumers to add our products to their shopping carts, become brand advocates and loyalists and even learn to trust again? Within, we outline a framework for brands to meaningfully differentiate with truth telling.

TECH SAVVY: SMART TROLLEY 2.0 INNOVATION SYSTEM

The proposed Internet of Things (IoT)-based Smart Shopping Cart aims to eliminate the time-consuming and quality issues associated with waiting in supermarket queues. It consists of RFID sensors, Arduino microcontroller, Wi-Fi module, and a mobile application. RFID tags and readers read product information, which is displayed on the mobile app. The system can be easily implemented and tested on a commercial scale, making it more competitive than other models.

Brand strategies: Enhancing manufacturers' bargaining power in grocery retail through cross‐category complementarities

AbstractThe article emphasizes the role of brand strategies, as placement in regional niche strategies for manufacturers, to impact retailer–manufacturer relations in the grocery retail sector. Due to joint purchases of initially unrelated products within a shopping cart, transaction cost‐induced complementarities between those products arise. Given unique retailer data, we infer complementarities arising from a specific product to a shopping cart of products. Using a Nash‐in‐Nash framework, we are able to show that the impact on the bargaining position for the manufacturer vis‐à‐vis a retailer is substantial and helps to increase the potential of gaining a larger slice of the profit pie.

Supermarket/hypermarket opportunistic screening for atrial fibrillation (SHOPS-AF) using sensors embedded in the handles of supermarket trolleys: A feasibility study

BackgroundAtrial fibrillation (AF) increases the risk of death, stroke, heart failure, cognitive decline, and healthcare costs but is often asymptomatic and undiagnosed. There is currently no national screening programme for AF. The advent of validated hand-held devices allows AF to be detected in non-healthcare settings, enabling screening to be undertaken within the community. Method and ResultsIn this novel observational study, we embedded a MyDiagnostick single lead ECG sensor into the handles of shopping trolleys in four supermarkets in the Northwest of England: 2155 participants were recruited. Of these, 231 participants either activated the sensor or had an irregular pulse, suggesting AF. Some participants agreed to use the sensor but refused to provide their contact details, or consent to pulse assessment. In addition, some data were missing, resulting in 203 participants being included in the final analyses. Fifty-nine participants (mean age 73.6 years, 43% female) were confirmed or suspected of having AF; 20 were known to have AF and 39 were previously undiagnosed. There was no evidence of AF in 115 participants and the remaining 46 recordings were non-diagnostic, mainly due to artefact. Men and older participants were significantly more likely to have newly diagnosed AF. Due to the number of non-diagnostic ECGs (n=46), we completed three levels of analyses, excluding all non-diagnostic ECGs, assuming all non-diagnostic ECGs were masking AF, and assuming all non-diagnostic ECGs were not AF. Based on the results of the three analyses, the sensor's sensitivity (95% CI) ranged from 0.70 - 0.93; specificity from 0.15 - 0.97; positive predictive values (PPV) and negative predictive values (NPV) ranged from 0.24 - 0.56 and 0.55-1.00, respectively. These values should be interpreted with caution, as the ideal reference standard on 1934 participants was imperfect. ConclusionThe study demonstrates that the public will engage with AF screening undertaken as part of their daily routines using hand-held devices. Sensors can play a key role in identifying asymptomatic patients in this way, but the technology must be further developed to reduce the quantity of non-diagnostic ECGs.

Empowering Elderly Individuals through the Intelligent Shopping Trolley

Empowering Elderly Individuals through the Intelligent Shopping Trolley

A Comprehensive Approach to Design and Implement an IoT-Enabled Intelligent Shopping Cart System with Obstacle-Aware Navigation and Enhanced Customer Engagement for Elevated Consumer Experiences

A Comprehensive Approach to Design and Implement an IoT-Enabled Intelligent Shopping Cart System with Obstacle-Aware Navigation and Enhanced Customer Engagement for Elevated Consumer Experiences

IoT-Enabled Smart Shopping Cart with Embedded Systems for Social Distancing

IoT-Enabled Smart Shopping Cart with Embedded Systems for Social Distancing

Feasibility study to identify machine learning predictors for a Virtual Environment Grocery Store

Virtual reality-based assessment and training platforms proffer the potential for higher-dimensional stimulus presentations (dynamic; three dimensional) than those found with many low-dimensional stimulus presentations (static; two-dimensional) found in pen-and-paper measures of cognition. Studies have investigated the psychometric validity and reliability of a virtual reality-based multiple errands task called the Virtual Environment Grocery Store (VEGS). While advances in virtual reality-based assessments provide potential for increasing evaluation of cognitive processes, less has been done to develop these simulations into adaptive virtual environments for improved cognitive assessment. Adaptive assessments offer the potential for dynamically adjusting the difficulty level of tasks specific to the user’s knowledge or ability. Former iterations of the VEGS did not adapt to user performance. Therefore, this study aimed to develop performance classifiers from participants (N = 75) using three classification techniques: Support Vector Machines (SVM), Naive Bayes (NB), and k-Nearest Neighbors (kNN). Participants were categorized as either high performing or low performing based upon the number items they were able to successfully find and add to their grocery cart. The predictors utilized for the classification focused on the times to complete tasks in the virtual environment. Results revealed that the SVM (88% correct classification) classifier was the most robust classifier for identifying cognitive performance followed closely by kNN (86.7%); however, NB tended to perform poorly (76%). Results suggest that participants’ task completion times in conjunction with SVM or kNN can be used to adjust the difficult level to best suit the user in the environment.

Action Interpretation Determines the Effects of Go/No-Go and Approach/Avoidance Actions on Stimulus Evaluation.

Executing go/no-go or approach/avoidance responses toward a stimulus can change its evaluation. To explain these effects, some theoretical accounts propose that executing these responses inherently triggers affective reactions (i.e., action execution), while others posit that the evaluative influences originate from interpreting these responses as valenced actions (i.e., action interpretation). To test the role of action execution and action interpretation in these evaluative effects, we developed a novel training task that combined both go/no-go and approach/avoidance actions orthogonally. Participants either responded or did not respond (i.e., go/no-go) to control a shopping cart on screen, and as a result, either collected or did not collect (i.e., approach/avoidance) certain food items. When the task instructions referred to the go/no-go actions (Experiment 1, N = 148), we observed an effect of these actions. Participants evaluated no-go items less positively than both go and untrained items. No effect of approach/avoidance actions was observed. Contrarily, when the task instructions referred to the approach/avoidance actions (Experiment 2, N = 158), we observed an approach/avoidance effect. Participants evaluated approached items more positively and avoided items less positively than untrained items. No effect of go/no-go actions was observed. This suggests that action interpretation determined whether go/no-go or approach/avoidance actions influenced stimulus evaluation, when the same motor responses were made. Further examination of the role of action interpretation can inform theories of how actions influence stimulus evaluation, and facilitate the use of these interventions in applied settings.

Electronic Shopping Cart Abandonment Mystery: Moderation Analysis by Demographics

Electronic Shopping Cart Abandonment Mystery: Moderation Analysis by Demographics

Enhanced Shopping Experiences

Over the past decade, the Internet has revolutionized the way we shop, with the rise of e Commerce allowing us to buy products online through platforms like Amazon and Flipkart. However, traditional physical markets are still growing and offer a personal shopping experience. This project aims to create a Smart Shopping Cart that can be used in supermarkets to address common customer issues such as waiting in long queues for billing and overspending. This technology reduces the burden on cashiers by automatically calculating the total cost of the items in the cart. The Smart Cart provides a fast and efficient service, reducing congestion at the checkout counter and saving time and effort during the accounting process. The items in the cart are scanned for price and barcode details and the cost of each item is calculated and sent to an Arduino devi ce. In traditional Indian markets, customers place items in a cart and then stand in a queue for billing, but this Smart Cart eliminates the need for this step.

Analysis on Role of E-Commerce in Reducing Operational Cost

E-commerce means electronic commerce. E-commerce involves carrying on a business with help of the internet and by using the information technology like Electronic Data Interchange (EDI). E-commerce relates to a websites of the vendor on the internet, who trades products or services directly to the customer from the portal. The portal uses a digital shopping cart or digital basket system and allows payment through credit, debit card or EFT (Electronic fund transfer) payments.

Pushing Shopping Cart: An Intentional Exercise for Older Adults

ABSTRACT Physical exertion is a leading barrier to physical activity. Continuing physical activity is vital for older adults because reduced physical activity and lack of regular exercise can lead to muscle weakness and increase the mortality risk. Shopping is an instrumental activity of daily living, and shopping by visiting brick-and-mortar stores can help older adults maintain physical activity. However, if older adults experience significant physical exertion at the store, it could prevent them from engaging in this crucial activity. This study assessed the perceived exertion and heart rate in older women with and without osteoarthritis, pre- and post-pushing a loaded shopping cart. Sixty participants were grouped by age and presence or absence of osteoarthritis. Results from 2(cart conditions) X 2(time) X 3(groups) ANOVA indicated a statistically significant difference in physical exertion and heart rate with and without the cart, pre and post-using the cart, and also between younger and the two older groups; with significantly higher perceived and physiological exertion scores in both groups of older women. Through intentional exercise protocols designed around shopping tasks, there is an opportunity for older adults to engage in physical activity as they shop and build their strength while also improving their well-being.

Smart Shopping Trolley with Automated Billing

In today’s context, people prefer buying groceries from supermarkets/hypermarkets. However, locating essential items in a supermarket can be time- consuming, and customers often have to wait in long billing queues to complete their purchases. The COVID-19 pandemic has further complicated matters, as maintaining social distance during the billing process is challenging. To address this significant challenge, this research proposes a smart trolley based on the Internet of Things (IoT) with an advanced billing system, aiming to make shopping easier, more secure, and to eliminate the need for standing in long queues. The proposed system comprises a smart trolley equipped with an LCD display, barcode scanner, and a Raspberry Pi. This innovative model aims to revolutionize the shopping experience by streamlining the process and mitigating administrative issues. The proposed framework holds promise for widespread implementation in real-world scenarios.

Smart Shopping Cart Using RFID

Abstract: Optimizing the shopping experience is essential for both customers and businesses in the dynamic world of retail. This research study offers a revolutionary solution called the "Smart Shopping Cart," which uses Radio-Frequency Identification (RFID) technology to speed up the shopping experience. This ground-breaking solution promises to boost shopping cart functionality, enhance inventory control, and provide customers with a smooth purchasing experience. The Smart Shopping Cart makes use of an integrated RFID reader system and RFID tags that are attached to each product. It enables automatic item tracking, doing away with the requirement for human checkout scanning. This technologically advanced method cuts down on consumers' wait times at the register and minimizes pricing and item recognition mistakes, enhancing their entire shopping experience. Moreover, the system incorporates real-time inventory management features, enabling retailers to monitor product stock levels efficiently. This results in reduced out-of-stock occurrences and optimized supply chain operations, benefiting both retailers and consumers. Additionally, the Smart Shopping Cart can provide personalized shopping recommendations and promotions, enhancing customer engagement and loyalty. This research paper examines the Smart Shopping Cart's technical implementation, RFID integration, data processing, and security. It analyzes potential benefits, environmental impact, and ethical concerns, focusing on efficiency, reduced operational costs, and customer satisfaction. In conclusion, the Smart Shopping Cart, which makes use of RFID technology, presents a solution that has the potential to change the way people shop currently, to the advantage of both customers and businesses. This innovation offers a tremendous chance for shops looking to stay competitive in the digital age to increase productivity, cut costs, and provide a better shopping experience. This study gives helpful advice for the effective implementation of RFID-based Smart Shopping Carts in the retail sector as well as insights into their potential.

Shopping Redefined: An Innovative System with Barcode Scanning and Bill Display

This paper presents the development of automated shopping cart for supermarkets. This automated shopping cart reduces the shopping time of customer. This project works on Arduino UNO microcontroller, bar code scanner for scanning the products and LCD to display the billing. Hence it works with low cost, low power consumption. So that customers can enjoy shopping without pushing trolley themselves.

Remote-Controlled Bluetooth-Enabled Smart Shopping Cart: Prototype and Evaluation

Remote-Controlled Bluetooth-Enabled Smart Shopping Cart: Prototype and Evaluation

Linking Online Procrastination to Online Shopping Cart Abandonment : A Multi-Group Analysis from India and Ethiopia

Linking Online Procrastination to Online Shopping Cart Abandonment : A Multi-Group Analysis from India and Ethiopia