Shopping For Privacy: How Technology in Brick-and-Mortar Retail Stores Poses Privacy Risks for Shoppers

As technology continues to rapidly advance, the American legal system has failed to protect individual shoppers from the technology implemented into retail stores, which poses significant privacy risks but does not violate the law. In particular, I examine the technologies implemented into many brick-and-mortar stores today, many of which the average everyday shopper has no idea exists. This Article criticizes these technologies, suggesting that many, if not all of them, are questionable in their legality taking advantage of their status in a legal gray zone. Because the American judicial system cannot adequately protect the individual shopper from these questionable privacy practices, I call upon the Federal Trade Commission, the de facto privacy regulator in the United States, to increase its policing of physical retail stores to protect the shopper from any further harm

ChatGPT recommendation system for retail shops

The rapid growth of e-commerce platforms has emphasized the significance of personalized recommendation systems in enhancing user engagement and satisfaction. This dissertation presents the development and evaluation of an innovative Product Recommendation System that leverages advanced Artificial Intelligence (AI) techniques to provide tailored product suggestions. The primary objective is to create a user-centric experience by integrating an AI assistant, enabling natural and interactive interactions. Through a comprehensive survey conducted to understand customer behaviours while purchasing products using AI, the study aims to assess the system's effectiveness in delivering accurate recommendations and providing a seamless purchasing experience. This document contributes to the field by showcasing the practical implementation of AI-driven recommendation systems, highlighting their potential to transform e-commerce interactions.O rápido crescimento das plataformas de comércio eletrónico enfatizou a importância dos sistemas de recomendação personalizados para aumentar o envolvimento e a satisfação dos utilizadores. Esta tese apresenta o desenvolvimento e avaliação de um Sistema de Recomendação de Produtos inovador que utiliza técnicas avançadas de Inteligência Artificial (IA) para fornecer sugestões de produtos personalizadas. O objetivo principal é criar uma experiência centrada no usuário, integrando um assistente de IA, permitindo interações naturais e interativas. Através de uma pesquisa abrangente realizada para compreender o comportamento dos clientes durante a compra de produtos usando IA, o estudo visa avaliar a eficácia do sistema na entrega de recomendações precisas e no fornecimento de uma experiência de compra perfeita. Este documento contribui para a área ao mostrar a implementação prática de sistemas de recomendação baseados em IA, destacando o seu potencial para transformar as interações de comércio eletrónico

Exploratory analysis of Internet of Things (IoT): revolutionizing the grocery retail industry

This dissertation has investigated the consequences of implementing Internet of Things (IoT) technologies in grocery retailing by analyzing customers' perceptions of eight prominent technologies. The objective was to investigate and explore to what degree implementing these technologies would impact the customer experience. Based on secondary research, this thesis focuses on eight prominent technologies that presumably will encounter an increasing utilization in the visible future; Self-Scanning, Smart Robots, Smart Shelves, Smart Shopping Cart, Smart Fridge, Just Walk Out, Personalized Promotion/Pricing, and Mobile Apps. The technology distribution varies across different stages in the customer journey, and research indicates that IoT has the most significant impact in the pre-purchase stage. A comprehensive exploratory survey was conducted through Amazon mTurk with a wide range of respondents (n=204), giving valuable insight into demographic differences' influence on each technology perception. The investigation uncovered vast differences in several areas such as age, attitude, and privacy. Among other findings, the age segment 35-44 is more confident towards IoT technology than the age segment 55+, and shoppers with a positive attitude towards grocery shopping have higher confidence towards the technologies than shoppers with a negative attitude. On a widespread basis, the findings revealed that all eight technologies would positively affect customer experience to a certain level. Keywords: Internet of Things, Grocery Retailing, Customer Journey, Customer Experience, Autonomous Retail

Social Robots in Retail: Emotional Experiences a Critical Driver of Purchase Intention

The purpose of the current study is to explore whether emotional experiences prompted due to human-social robot interaction in retail environments significantly influence consumers' purchase intentions. This present study focuses primarily on emotional experience, comprising factors, namely, enjoyment, arousal, and emotional involvement. The study tests the conceptual model on a sample of 229 respondents using the PLS-SEM (Partial Least Squares – Structural Equation Modeling) approach. The results reveal that emotional experiences significantly impact consumers’ purchase intentions in retail settings. All three emotional experiences, including enjoyment, emotional involvement, and arousal were significant in shaping consumers' purchase intentions. The study findings offer unique insights for manufacturers developing social robots for the retail sector. The present research extends the current body of work exploring hedonic predictors of consumers' purchase intentions in novel socio-technical contexts, such as social robotics

Measuring the Impacts of Smart Retailing Technologies Pilot Implementation – Proposal Framework

Smart retailing technologies are transforming retailers’ operations, consumer shopping experiences, and perceptions about retailers. These technologies are becoming increasingly numerous and may have different interfaces and ways of implementation. Based on the literature review, this study develops a framework to measure the impacts of implementing non-store-based and store-based smart retailing technology pilot projects, with appropriate metrics based on brand leadership, market performance and word-of-mouth. The proposed method is based on a survey distributed to a sample of customers and control groups, using an experimental Latin square design that controls the effects of extraneous variables. With this methodology, different interfaces can be evaluated in the non-store-based pilot projects, and different locations in the store-based pilot projects implementation, controlling extraneous variables such as seasonality, customer profiles and store-specific characteristics. Finally, the academic and managerial contributions to retailers, consumers and technology companies are highlighted, as well as limitations and avenues for future research

Review of Artificial Intelligence with Retailing Sector

This research service provides an original perspective on how artificial intelligence (AI) is making its way into the retail sector. Retail has entered a new era where ECommerce and technology bellwethers like Alibaba, Amazon, Apple, Baidu, Facebook, Google, Microsoft, and Tencent have raised consumers’ expectations. AI is enabling automated decision-making with accuracy and speed, based on data analytics, coupled with self- learning abilities. The retail sector has witnessed the dramatic evolution with the rapid digitalization of communication (i.e. Internet) and; smart phones and devices. Customer is no longer the same as they became more empowered by smart devices which has entirely prevailed their expectation, habits, style of shopping and investigating the shops. This article outlines the Significant innovation done in retails which helped them to evolve such as Artificial Intelligence (AI), Big data and Internet of Things (IoT), Chatbots, Robots. This article further also discusses the ideology of various author on how AI become more profitable and a close asset to customers and retailers

State-of-art of artificial intelligence in the portuguese food retail sector

This study aims to explore the actual state of the art of the use of Artificial Intelligence (AI) in the food retail industry in Portugal. Literature review is conducted to propose industry definitions and to provide insights regarding the competitive landscape and AI adoption in industries. Three research questions are answered regarding technology and AI in food retailing.Qualitative research concluded that retailers consider technology an enabler for the future of their businesses and physical stores. Although knowing what AI is, they still consider to be beginners and mainly find it useful for the optimization of their operations

“Untact”: a new customer service strategy in the digital age

The Industry 4.0 era has brought a shift in consumers’ purchasing behaviors from traditional retailing to online and/or mobile channels, triggered by advanced digital technologies and an easy access to the global market. Smart digital devices and advanced technologies have enabled “untact” service, facilitating customer encounters without a face-to-face contact with employees. This study presents the concept of untact service based on a review of the literature on technology-enabled customer encounters with service providers and analysis of several real-world cases. The results indicate that untact services are becoming widespread in various areas of daily life, such as ordering food at franchise restaurants via digital devices, handling financial transactions without visiting a bank branch through e-banking apps, and using online or mobile order systems for a multitude of products/services. This study elaborates implications of untact service in terms of new opportunities and challenges involved when it is implemented as a new customer service strategy